feat(clp-package): Add CLP Model Context Protocol (MCP) Server:#1368
Conversation
WalkthroughAdds a new clp-mcp-server component: server implementation and factory, a Click CLI entrypoint with host/port validation to run a FastMCP server exposing two tools, package metadata and build config, README and docs, and task/lint CI integration for building and packaging the component. Changes
Sequence Diagram(s)sequenceDiagram
autonumber
actor User
participant CLI as clp_mcp_server.main
participant Factory as create_mcp_server()
participant Transport as Streamable_HTTP
User->>CLI: clp-mcp-server --host H --port P
CLI->>CLI: validate host and port
CLI->>Factory: create_mcp_server()
CLI->>Transport: mcp.run(transport="streamable-http", host=H, port=P)
Note over Transport,Factory: Server listens on H:P and exposes MCP tools
alt invalid host/port
CLI-->>User: exit(1)
else startup error
CLI-->>User: log error, exit(1)
end
sequenceDiagram
autonumber
actor Client as MCP Client (e.g., Claude Desktop via mcp-remote)
participant HTTP as HTTP Endpoint /mcp
participant Server as FastMCP Tools
Client->>HTTP: Request get_server_info
HTTP->>Server: get_server_info()
Server-->>HTTP: {name, capabilities, status}
HTTP-->>Client: Response
Client->>HTTP: Request hello_world(username)
HTTP->>Server: hello_world(username)
Server-->>HTTP: {message, server_name, status}
HTTP-->>Client: Response
Estimated code review effort🎯 3 (Moderate) | ⏱️ ~25 minutes Pre-merge checks and finishing touches✅ Passed checks (3 passed)
✨ Finishing touches
🧪 Generate unit tests (beta)
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components/clp-mcp-server/README.md(1 hunks)components/clp-mcp-server/clp_mcp_server/__init__.py(1 hunks)components/clp-mcp-server/clp_mcp_server/__main__.py(1 hunks)components/clp-mcp-server/clp_mcp_server/server.py(1 hunks)components/clp-mcp-server/pyproject.toml(1 hunks)docs/src/dev-docs/design-project-structure.md(2 hunks)taskfile.yaml(6 hunks)taskfiles/lint.yaml(1 hunks)
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components/clp-mcp-server/README.md
12-12: Fenced code blocks should be surrounded by blank lines
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27-27: Fenced code blocks should be surrounded by blank lines
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🔇 Additional comments (11)
taskfiles/lint.yaml (1)
767-767: LGTM!The addition of the clp-mcp-server component to the lint workflow is correct and maintains alphabetical ordering.
components/clp-mcp-server/clp_mcp_server/server.py (1)
10-21: LGTM!The factory function is well-structured and properly documented.
components/clp-mcp-server/clp_mcp_server/__main__.py (1)
1-4: LGTM!This is the standard Python pattern for making a package executable. The implementation is correct.
components/clp-mcp-server/pyproject.toml (2)
1-7: LGTM!Project metadata is well-defined with appropriate Python version requirement.
16-17: LGTM!The console script entry point correctly maps to the
mainfunction defined inclp_mcp_server/__init__.py.components/clp-mcp-server/clp_mcp_server/__init__.py (2)
19-22: LGTM!Logging configuration is appropriate for a server application.
29-31: LGTM!Port validation correctly checks the valid TCP port range.
taskfile.yaml (4)
69-71: LGTM!The addition of clp-mcp-server to the clean task is correct and maintains consistency with other Python components.
122-122: LGTM!The integration of clp-mcp-server into the packaging workflow is complete and consistent, including sources, dependencies, and installation steps.
Also applies to: 132-132, 149-149
237-240: LGTM!The new clp-mcp-server task correctly delegates to the uv-component template with the appropriate component name.
554-582: LGTM!The new uv-component task template is well-structured and mirrors the existing python-component pattern. The use of
uv build --wheelinstead ofpoetry build --format wheelis appropriate for components using uv for dependency management.
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Can you provide some brief links/instructions for how you connected Claude Desktop to the MCP? |
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Can you add the linting setup described here? See integration-tests/pyproject.toml for an example of how to use it. Similar to integration-tests, we should be using uv to do the linting.
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Done, I have followed integration-tests/pyproject.toml's linting style, and have run both uv run ruff check . and task lint:fix-py with all errors being resolved.
Question: I know task lint:check-py is in our gh workflow, but what about uv? should I add it to workflow as well?
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Actionable comments posted: 1
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⚠️ Outside diff range comments (1)
components/clp-mcp-server/pyproject.toml (1)
1-77: Address maintainer feedback: Add linting setup integration.As noted by @kirkrodrigues, this component should integrate the linting setup from yscope-dev-utils. See
integration-tests/pyproject.tomlfor reference implementation patterns.The current configuration should be augmented to use the shared linting configuration for consistency across the CLP project. This will ensure uniform code quality standards.
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components/clp-mcp-server/README.md(1 hunks)components/clp-mcp-server/clp_mcp_server/__init__.py(1 hunks)components/clp-mcp-server/clp_mcp_server/__main__.py(1 hunks)components/clp-mcp-server/clp_mcp_server/server.py(1 hunks)components/clp-mcp-server/pyproject.toml(1 hunks)taskfile.yaml(5 hunks)
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🧠 Learnings (1)
📚 Learning: 2025-10-02T15:48:58.935Z
Learnt from: 20001020ycx
PR: y-scope/clp#1368
File: components/clp-mcp-server/clp_mcp_server/__init__.py:11-15
Timestamp: 2025-10-02T15:48:58.935Z
Learning: In the clp-mcp-server component (components/clp-mcp-server/clp_mcp_server/__init__.py), the default host binding of 0.0.0.0 is intentional because the server is designed to be deployed in Docker containers where this binding is necessary to accept external connections.
Applied to files:
components/clp-mcp-server/clp_mcp_server/__init__.py
🧬 Code graph analysis (2)
components/clp-mcp-server/clp_mcp_server/__init__.py (1)
components/clp-mcp-server/clp_mcp_server/server.py (1)
clp_mcp_server(28-77)
components/clp-mcp-server/clp_mcp_server/__main__.py (1)
components/clp-mcp-server/clp_mcp_server/__init__.py (1)
main(18-61)
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🔇 Additional comments (11)
taskfile.yaml (3)
554-582: LGTM: Clean implementation of uv-based build task.The
uv-componenttask properly mirrors thepython-componentstructure while usinguv build --wheelinstead of Poetry. The UV_CACHE_DIR environment variable is set to a build-specific directory, which is appropriate for isolated builds.
221-225: LGTM: Proper integration of clp-mcp-server into build system.The task correctly delegates to
uv-componentand follows the established pattern for component tasks.
60-62: LGTM: Complete integration of clp-mcp-server into packaging workflow.The component is properly integrated at all touchpoints:
- Clean task includes component cleanup
- Package task tracks wheel artifacts as sources
- Package dependencies include the build task
- Installation step includes the wheel
Also applies to: 119-119, 127-127, 146-146
components/clp-mcp-server/README.md (1)
1-46: LGTM: Clear and accurate documentation.The README provides comprehensive coverage of:
- Server overview and transport configuration
- Installation via taskfile
- Usage examples with default and custom configurations
- Tool descriptions with parameters and return values
The documentation accurately reflects the implementation in the codebase.
components/clp-mcp-server/clp_mcp_server/server.py (2)
8-25: LGTM: Well-structured configuration class.The
CLPMCPServerConfigclass effectively centralizes server constants and provides a clean API viaget_capabilities()for retrieving available tools. This addresses previous feedback about extracting repeated values.
28-77: LGTM: Clean factory pattern with proper tool registration.The
clp_mcp_serverfactory function:
- Properly instantiates configuration
- Creates FastMCP with server name and additional settings
- Registers tools using decorators within the factory scope
- Returns a configured MCP instance
The async function signatures are appropriate for FastMCP's async-first design, even though the implementations don't perform I/O.
components/clp-mcp-server/clp_mcp_server/__main__.py (1)
1-6: LGTM: Standard package entry point.This minimal entry point correctly imports and executes
main(), enabling the package to be run aspython -m clp_mcp_server. The implementation follows Python best practices for package execution.components/clp-mcp-server/clp_mcp_server/__init__.py (3)
13-17: Verify default host binding aligns with Docker deployment.The default host is now
127.0.0.1, which differs from the Docker deployment context mentioned in previous discussions where0.0.0.0binding is necessary. For containerized deployments, users will need to explicitly pass--host 0.0.0.0.Based on learnings, consider documenting this in the README or adding a note about Docker deployments requiring the
--host 0.0.0.0flag.
26-48: LGTM: Comprehensive host and port validation.The validation logic properly handles:
- Empty host strings
- IP address format (IPv4/IPv6 via
ipaddressmodule)- Hostname resolution via
socket.gethostbyname- Port range constraints (1-65535)
The error messages are clear and actionable.
50-61: LGTM: Robust server startup with appropriate error handling.The startup sequence:
- Creates the MCP server instance
- Logs startup information
- Runs with HTTP transport
- Catches OS-level and runtime errors with proper logging
The error handling is appropriate for a CLI application.
components/clp-mcp-server/pyproject.toml (1)
40-76: LGTM: Comprehensive tooling configuration.The configuration includes:
- Mypy strict mode with enhanced output options
- Extensive Ruff rule selection with thoughtful ignores
- Per-file ignores for test files
- Docstring formatting preferences
The ignore list is well-documented and reasonable for a new component.
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taskfile.yaml(5 hunks)
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| . "{{.VENV_DIR}}/bin/activate" | ||
| UV_CACHE_DIR="{{.G_BUILD_DIR}}/uv-cache" uv build --wheel | ||
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❓ Verification inconclusive
Confirm uv availability in the component venv.
uv build --wheel will fail in a fresh environment unless the uv CLI is installed inside the component virtualenv. component-venv only provisions what's listed in requirements.txt, and I don't see a corresponding update ensuring uv gets installed. Please add uv to that requirements set (or otherwise guarantee it’s present) so this task remains portable.
Run the following to double-check whether uv is declared in the shared requirements file:
🏁 Script executed:
#!/bin/bash
# Verify that uv is listed in requirements.txt
rg -n "^uv" requirements.txtLength of output: 0
Searching for uv in all requirements files to ensure the CLI is installed in the component venv:
🏁 Script executed:
#!/bin/bash
# Search for 'uv' in any requirements*.txt file
rg -n -H "^uv" -g "requirements*.txt"Length of output: 0
Install uv in the component virtualenv
No uv entry exists in any requirements*.txt; add it (or otherwise ensure the uv CLI is installed) so uv build --wheel in taskfile.yaml lines 581–583 won’t fail.
🤖 Prompt for AI Agents
In taskfile.yaml around lines 581–583, the task activates the component
virtualenv then runs "uv build --wheel", but the uv CLI isn't installed in the
venv; add "uv" to the appropriate requirements*.txt for that component (or the
component's setup/install script) so pip installing requirements into
{{.VENV_DIR}} produces the uv executable, or modify the task to pip install uv
into the activated venv before running "uv build --wheel", and update any
CI/build steps that install dependencies to include uv as well.
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🧰 Additional context used
🧠 Learnings (1)
📚 Learning: 2025-10-02T15:48:58.935Z
Learnt from: 20001020ycx
PR: y-scope/clp#1368
File: components/clp-mcp-server/clp_mcp_server/__init__.py:11-15
Timestamp: 2025-10-02T15:48:58.935Z
Learning: In the clp-mcp-server component (components/clp-mcp-server/clp_mcp_server/__init__.py), the default host binding of 0.0.0.0 is intentional because the server is designed to be deployed in Docker containers where this binding is necessary to accept external connections.
Applied to files:
components/clp-mcp-server/README.md
🪛 markdownlint-cli2 (0.18.1)
components/clp-mcp-server/README.md
54-54: Fenced code blocks should be surrounded by blank lines
(MD031, blanks-around-fences)
56-56: Fenced code blocks should be surrounded by blank lines
(MD031, blanks-around-fences)
60-60: Fenced code blocks should be surrounded by blank lines
(MD031, blanks-around-fences)
LinZhihao-723
left a comment
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Comments on the README style.
LinZhihao-723
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Add comments in the actual Python implementation.
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Actionable comments posted: 12
♻️ Duplicate comments (2)
components/clp-mcp-server/pyproject.toml (2)
8-14: Apply the previously requested dependency version updates.The past review requested version bumps:
click >= 8.3.0fastmcp < 2.13.0uvicorn >= 0.37.0These updates have not been applied yet.
8-14: Dependency version constraints could be loosened per previous feedback.A previous review suggested updating:
click>=8.3.0(currently>=8.2.1)fastmcp>=2.10.0,<2.13.0(currently<2.11.0)uvicorn>=0.37.0(currently>=0.27.0)While the developer marked the linting feedback as done, these dependency constraint adjustments were not applied. Consider adopting these suggestions to include recent patches while maintaining compatibility.
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components/clp-mcp-server/README.md(1 hunks)components/clp-mcp-server/clp_mcp_server/clp_mcp_server.py(1 hunks)components/clp-mcp-server/clp_mcp_server/server/__init__.py(1 hunks)components/clp-mcp-server/clp_mcp_server/server/server.py(1 hunks)components/clp-mcp-server/pyproject.toml(1 hunks)
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🧠 Learnings (1)
📚 Learning: 2025-07-08T17:20:02.560Z
Learnt from: junhaoliao
PR: y-scope/clp#1078
File: components/webui/server/src/plugins/MongoSocketIoServer/index.ts:105-108
Timestamp: 2025-07-08T17:20:02.560Z
Learning: The y-scope/clp codebase has a 100-character line length limit that takes precedence over other style preferences like template literals when they conflict.
Applied to files:
components/clp-mcp-server/README.md
🧬 Code graph analysis (2)
components/clp-mcp-server/clp_mcp_server/clp_mcp_server.py (1)
components/clp-mcp-server/clp_mcp_server/server/server.py (1)
create_mcp_server(29-69)
components/clp-mcp-server/clp_mcp_server/server/__init__.py (1)
components/clp-mcp-server/clp_mcp_server/server/server.py (1)
create_mcp_server(29-69)
🪛 markdownlint-cli2 (0.18.1)
components/clp-mcp-server/README.md
45-45: Trailing spaces
Expected: 0 or 2; Actual: 1
(MD009, no-trailing-spaces)
84-84: Trailing spaces
Expected: 0 or 2; Actual: 1
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91-91: Trailing spaces
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🔇 Additional comments (24)
components/clp-mcp-server/pyproject.toml (9)
16-17: LGTM!The console script entry point correctly maps to the main() function in clp_mcp_server/clp_mcp_server.py.
19-21: LGTM!Hatchling is a modern, well-maintained build backend suitable for this use case.
23-29: LGTM!Development dependencies are appropriate for linting, type checking, and testing.
31-76: LGTM!The linting and type-checking configuration is comprehensive and follows project conventions, as confirmed in the past review discussion.
16-17: LGTM!The console script entry point correctly maps to the Click-decorated
main()function inclp_mcp_server.clp_mcp_servermodule.
19-21: LGTM!Hatchling is a modern, standards-compliant build backend appropriate for this Python package.
23-29: LGTM!Development dependencies appropriately cover type checking (mypy), linting/formatting (ruff), and testing (pytest with pytest-env).
31-38: LGTM!Mypy strict mode with enhanced error output is an excellent configuration for maintaining high type safety standards in new code.
40-76: LGTM!Ruff configuration is comprehensive and aligns with the project's established linting patterns from
integration-tests/pyproject.toml. The ignore rules are well-justified and the per-file test ignores are appropriate.components/clp-mcp-server/clp_mcp_server/server/server.py (3)
1-7: LGTM!Imports are clean and appropriately scoped.
42-68: LGTM!Both tool implementations are correct and follow the expected pattern for MCP tools. The
hello_worldtool appropriately sanitizes input with.strip(), and both return well-structured dictionaries.
42-53: LGTM!The
get_server_info()tool correctly returns server metadata including name, capabilities, and running status.components/clp-mcp-server/clp_mcp_server/server/__init__.py (2)
1-5: LGTM!The module correctly re-exports
create_mcp_serverfor public API access, following standard Python packaging conventions.
1-5: LGTM!Clean package initialization following Python conventions with proper module docstring and explicit
__all__export.components/clp-mcp-server/clp_mcp_server/clp_mcp_server.py (10)
1-11: LGTM!All imports are necessary and appropriately scoped for the CLI functionality.
13-31: LGTM!Click integration is correctly configured with sensible defaults and appropriate logging setup.
33-36: LGTM!Empty host validation is correct and provides clear error messaging.
52-55: LGTM!Port range validation is correct (1-65535) with clear error messaging.
71-72: LGTM!Standard Python entry point pattern is correctly implemented.
57-68: No changes needed: transport mode verified
Thestreamable-httptransport is a valid FastMCP mode for HTTP streaming (alias"http"also supported).
1-17: LGTM!Imports are appropriate and Click command configuration uses sensible defaults (127.0.0.1:8000) with proper type hints.
27-36: LGTM!Logging configuration is appropriate and empty host validation is correctly implemented.
52-55: LGTM!Port validation correctly enforces the valid range (1-65535) with clear error messaging.
71-72: LGTM!Standard
__main__block correctly enables direct script execution with Click handling the CLI arguments.
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Actionable comments posted: 2
♻️ Duplicate comments (1)
components/clp-mcp-server/clp_mcp_server/server/server.py (1)
49-61: Handle the empty-string edge case.If
namecontains only whitespace,name.strip()becomes an empty string, resulting in the message "Hello World, !" which is awkward. Consider falling back to a default value when the cleaned name is empty.Apply this diff to handle the edge case:
@mcp.tool() def hello_world(name: str = "clp-mcp-server user") -> dict[str, Any]: """ Provides a simple hello world greeting. - :param name: + :param name: The name to greet (defaults to "clp-mcp-server user"). :return: A greeting message to the given `name`. """ + clean_name = name.strip() or "clp-mcp-server user" return { - "message": f"Hello World, {name.strip()}!", + "message": f"Hello World, {clean_name}!", "server": ProtocolConstant.SERVER_NAME, "status": "running", }Alternatively, as suggested in past reviews, consider using a simpler default like
"there"for a more natural greeting.
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🔇 Additional comments (2)
components/clp-mcp-server/clp_mcp_server/server/server.py (2)
26-34: LGTM!The factory function signature is clean, and the implementation correctly initializes the FastMCP instance using the constants from
ProtocolConstant.
36-47: LGTM!The
get_server_infotool correctly returns the server's metadata, including the name, capabilities list, and status.
…0ycx/clp into clp-mcp-server-component
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🧠 Learnings (1)
📚 Learning: 2025-07-08T17:20:02.560Z
Learnt from: junhaoliao
PR: y-scope/clp#1078
File: components/webui/server/src/plugins/MongoSocketIoServer/index.ts:105-108
Timestamp: 2025-07-08T17:20:02.560Z
Learning: The y-scope/clp codebase has a 100-character line length limit that takes precedence over other style preferences like template literals when they conflict.
Applied to files:
components/clp-mcp-server/README.md
🪛 markdownlint-cli2 (0.18.1)
components/clp-mcp-server/README.md
42-42: Bare URL used
(MD034, no-bare-urls)
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| > **Warning:** 🚧 This section is still under construction. |
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I gave up polishing the previous writing. I don't think it makes too much sense to document the APIs in this markdown. Let's defer it until we properly set up a doc site for available APIs.
@kirkrodrigues Are you ok with that?
@20001020ycx Also, that said, please communicate with the team to write docstrings that comply with Sphinx-based documentation. As Jack said, the quality of docstirng matters and we should set them up in a maintainable way with automation enabled. Let's take it seriously.
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Sure, in fact, current API are served as the placeholder, we already have a version that writes the docstring in great detail for AI to understand. The team will iterate on those docstring as they are crucial for AI to be effective!
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Sure, I think the goal is:
- Make it clear so AI can use it in a super clear way.
- Follow Sphinx rule to make sure it can be auto-generated.
- Ensure we have a workflow that auto-generates and updates the doc whenever a new commit is made.
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I will create issue tracker for the AI team to follow up on addressing the goal, I think they do make sense.
… into clp-mcp-server-component
LinZhihao-723
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The last comment about the task file. We're almost there to merge.
| uv-component: | ||
| internal: true | ||
| label: "{{.COMPONENT}}" | ||
| vars: | ||
| VENV_DIR: "{{.G_BUILD_DIR}}/{{.COMPONENT}}/venv" | ||
| requires: | ||
| vars: ["COMPONENT"] | ||
| sources: | ||
| - "{{.G_BUILD_DIR}}/{{.COMPONENT}}-venv.md5" | ||
| - "{{.ROOT_DIR}}/requirements.txt" | ||
| - "{{.TASKFILE}}" | ||
| - "/etc/os-release" | ||
| - "**/*" | ||
| - exclude: "dist/**/*" | ||
| dir: "components/{{.COMPONENT}}" | ||
| generates: | ||
| - "dist/*.whl" | ||
| deps: | ||
| - task: "component-venv" | ||
| vars: | ||
| COMPONENT: "{{.COMPONENT}}" | ||
| OUTPUT_DIR: "{{.VENV_DIR}}" | ||
| cmds: | ||
| - task: "clean-python-component" | ||
| vars: | ||
| COMPONENT: "{{.COMPONENT}}" | ||
| - |- | ||
| . "{{.VENV_DIR}}/bin/activate" | ||
| UV_CACHE_DIR="{{.G_BUILD_DIR}}/uv-cache" uv build --wheel |
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| uv-component: | |
| internal: true | |
| label: "{{.COMPONENT}}" | |
| vars: | |
| VENV_DIR: "{{.G_BUILD_DIR}}/{{.COMPONENT}}/venv" | |
| requires: | |
| vars: ["COMPONENT"] | |
| sources: | |
| - "{{.G_BUILD_DIR}}/{{.COMPONENT}}-venv.md5" | |
| - "{{.ROOT_DIR}}/requirements.txt" | |
| - "{{.TASKFILE}}" | |
| - "/etc/os-release" | |
| - "**/*" | |
| - exclude: "dist/**/*" | |
| dir: "components/{{.COMPONENT}}" | |
| generates: | |
| - "dist/*.whl" | |
| deps: | |
| - task: "component-venv" | |
| vars: | |
| COMPONENT: "{{.COMPONENT}}" | |
| OUTPUT_DIR: "{{.VENV_DIR}}" | |
| cmds: | |
| - task: "clean-python-component" | |
| vars: | |
| COMPONENT: "{{.COMPONENT}}" | |
| - |- | |
| . "{{.VENV_DIR}}/bin/activate" | |
| UV_CACHE_DIR="{{.G_BUILD_DIR}}/uv-cache" uv build --wheel | |
| uv-component: | |
| internal: true | |
| label: "{{.COMPONENT}}" | |
| requires: | |
| vars: ["COMPONENT"] | |
| sources: | |
| - "{{.TASKFILE}}" | |
| - "/etc/os-release" | |
| - "**/*" | |
| - exclude: "dist/**/*" | |
| dir: "components/{{.COMPONENT}}" | |
| generates: | |
| - "dist/*.whl" | |
| cmds: | |
| - task: "clean-python-component" | |
| vars: | |
| COMPONENT: "{{.COMPONENT}}" | |
| - "uv build --wheel -o dist" |
I don't think u need to enter a virtual environment to build the project when using uv (which is good since it provides a better isolation).
I updated this task to remove any virtual environment related setup.
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This is a good catch, I copied the implementation of uv-component task from python-component task. Here is the code for python-component task:
python-component:
internal: true
label: "{{.COMPONENT}}"
vars:
VENV_DIR: "{{.G_BUILD_DIR}}/{{.COMPONENT}}/venv"
requires:
vars: ["COMPONENT"]
sources:
- "{{.G_BUILD_DIR}}/{{.COMPONENT}}-venv.md5"
- "{{.ROOT_DIR}}/requirements.txt"
- "{{.TASKFILE}}"
- "/etc/os-release"
- "**/*"
- exclude: "dist/**/*"
dir: "components/{{.COMPONENT}}"
generates:
- "dist/*.whl"
deps:
- task: "component-venv"
vars:
COMPONENT: "{{.COMPONENT}}"
OUTPUT_DIR: "{{.VENV_DIR}}"
cmds:
- task: "clean-python-component"
vars:
COMPONENT: "{{.COMPONENT}}"
- |-
. "{{.VENV_DIR}}/bin/activate"
poetry build --format wheel
Following your logic, then we don't need to enter a virtual environment to build with poetry build as well. Therefore, my question is should we also update python-component as well? and should we do it at this pr?
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Without UV_CACHE_DIR, you would haveerror: failed to create directory/.cache/uv: Permission denied (os error 13) during the package build in gh workflow.
The new commits adds UV_CACHE_DIR as an environmental variable.
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- Let me check about the uv cache thing.
- If we want to update python-component, we should do it in a separate PR. It's always a good practice to keep the PR clean.
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I suspect we might have the same issue in the integration test (as it's also using uv).
According to the official doc: https://docs.astral.sh/uv/concepts/cache/#cache-directory, we should probably specify the cache using --cache-dir, which is more explicit and thus more readable.
However, I think we should defer this to another PR. I need to investigate more about this cache management and side effect, as it might be reused by all uv components. For now, how about using --no-cache to disable caching?
@coderabbitai can u create a feature request for configuring uv cache properly in our taskfile?
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🧩 Analysis chain
🏁 Script executed:
#!/bin/bash
# Create a GitHub issue for configuring uv cache properly in taskfile
gh issue create \
--repo y-scope/clp \
--title "Configure uv cache properly in taskfile" \
--body "## Context
Currently, the \`uv-component\` task in \`taskfile.yaml\` uses the \`UV_CACHE_DIR\` environment variable to specify the cache directory. However, according to the [uv documentation on cache directory](https://docs.astral.sh/uv/concepts/cache/#cache-directory), using the \`--cache-dir\` flag would be more explicit and readable.
## Current Implementation
The current implementation sets \`UV_CACHE_DIR\` as an environment variable:
\`\`\`yaml
env:
UV_CACHE_DIR: \"{{.G_BUILD_DIR}}/uv-cache\"
\`\`\`
## Proposed Enhancement
- Use \`--cache-dir\` flag instead of environment variable for better explicitness
- Investigate whether the cache should be shared across all uv components or isolated
- Check if integration tests have similar cache configuration issues
- Ensure proper cache management to avoid permission errors in CI/CD workflows
## Related
- PR: #1368
- Discussion: https://github.com/y-scope/clp/pull/1368#discussion_r2403668580
- Requested by: @LinZhihao-723" \
--assignee LinZhihao-723
Length of output: 42
@LinZhihao-723, I've created a feature request issue for configuring uv cache properly in the taskfile: #1382
The issue includes:
- Context about the current
UV_CACHE_DIRenvironment variable approach - Reference to the uv documentation on cache directory
- Proposed enhancements including using
--cache-dirflag for better explicitness - Notes about investigating cache sharing across components and integration test impacts
- Backlinks to this PR and discussion
The issue has been assigned to you as requested. Using --no-cache for now sounds like a reasonable temporary workaround to avoid the permission issues until the proper cache configuration can be investigated and implemented.
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In the latest two commits I did:
- Upgrade back to Python 3.10 since our dependencies need Python version >= 3.10.
- Upgrade
fastmcpto the latest release.
@20001020ycx notice that u need to runuv lockevery time u change the pyproject file.
@coderabbitai Can u create two issues to:
- The first one to ask upgrading package's min Python version upgrading to Python 3.10, to align with mcp's requirement.
- The second one is to add a task for checking/upgrading UV.lock files for all UV components.
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🧩 Analysis chain
🏁 Script executed:
#!/bin/bash
# Create first issue: Upgrade package's minimum Python version to 3.10
gh issue create \
--repo y-scope/clp \
--title "Upgrade package's minimum Python version to Python 3.10" \
--body "## Description
The CLP MCP server component requires Python >= 3.10 to satisfy its dependencies (particularly fastmcp). The package's minimum Python version should be upgraded to align with this requirement.
## Context
This issue was identified during the review of PR #1368, where the MCP server component was introduced.
## References
- PR: https://github.com/y-scope/clp/pull/1368
- Comment: https://github.com/y-scope/clp/pull/1368#discussion_r2403677337
- Requested by: @LinZhihao-723" \
--assignee LinZhihao-723
# Create second issue: Add task for checking/upgrading UV.lock files
gh issue create \
--repo y-scope/clp \
--title "Add task for checking/upgrading uv.lock files for all UV components" \
--body "## Description
A task should be added to the build system to check and upgrade uv.lock files for all UV-based components in the repository. This will help ensure that lock files are kept up to date when pyproject.toml files are modified.
## Context
This issue was identified during the review of PR #1368, where the CLP MCP server component (which uses UV for dependency management) was introduced. Currently, developers need to manually remember to run \`uv lock\` after modifying pyproject.toml files.
## References
- PR: https://github.com/y-scope/clp/pull/1368
- Comment: https://github.com/y-scope/clp/pull/1368#discussion_r2403677337
- Requested by: @LinZhihao-723" \
--assignee LinZhihao-723
echo "Issues created successfully"
Length of output: 113
@LinZhihao-723, I've created both issues as requested:
-
Issue Upgrade package's minimum Python version to Python 3.10 #1380: Upgrade package's minimum Python version to Python 3.10 - To align the package's minimum Python version with the MCP server component's requirements.
-
Issue Add task for checking/upgrading uv.lock files for all UV components #1381: Add task for checking/upgrading uv.lock files for all UV components - To add a build task that helps ensure uv.lock files are kept up to date when pyproject.toml files are modified.
Both issues have been assigned to you and include references back to this PR and comment.
Co-authored-by: Lin Zhihao <59785146+LinZhihao-723@users.noreply.github.com>
Co-authored-by: Lin Zhihao <59785146+LinZhihao-723@users.noreply.github.com>
Co-authored-by: Lin Zhihao <59785146+LinZhihao-723@users.noreply.github.com>
Co-authored-by: Lin Zhihao <59785146+LinZhihao-723@users.noreply.github.com>
Co-authored-by: Lin Zhihao <59785146+LinZhihao-723@users.noreply.github.com>
LinZhihao-723
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Directly modified the PR title.
…ope#1368) * Add clp-mcp-server Python project. * Add tasks to build and package clp-mcp-server as a part of the CLP package. Co-authored-by: LinZhihao-723 <zh.lin@mail.utoronto.ca>
clp-mcp-serverPython project.clp-mcp-serveras a part of the CLP package.Description
1. MCP Server Source Code Setup
Introduces the MCP server as a new component under the CLP project, with the following directory structure:
clp/components/clp-mcp-server/
├── pyproject.toml & uv.lock
├── README.md
└── clp_mcp_server/
├── server
└── server.py (implementation of MCP API tool calls)
└── clp_mcp_server.py (main)
2. Taskfile Integration
Adds infrastructure for building and packaging the MCP server.
Checklist
breaking change.
Validation performed
task packageto build the package.cd build/clp-package/lib/python3/site-packages && python3 -m clp_mcp_server.clp_mcp_server --host 127.0.0.1 --port 8000Summary by CodeRabbit
New Features
Documentation
Chores