Instead of having to log into 5 different websites to answer a customer's question, a support agent can ask this AI one question. The AI talks to all 5 systems at once and gives back a single, simple answer.

• A skeleton for a Model Context Protocol (MCP) server.
• Exposes toy tools like crm, tickets, legacy_db.
• Lets an LLM-powered client call these tools to answer questions.

This repo focuses on the shape of an MCP server, not any provider-specific details.

• No global governance gateway or policy engine.
• No special token-limit or routing logic.
• All data sources are toy, local mocks.

• src/server.py -- entrypoint for MCP server.
• src/tools/crm.py -- simple in-memory fake CRM.
• src/tools/tickets.py -- fake ticket store.
• src/tools/legacy_db.py -- toy SQLite or in-memory table.

This skeleton does not include a concrete MCP library to keep it generic. You can:

• Pick an MCP implementation you like.
• Wire src/server.py into that runtime.
• Map functions in src/tools/* to MCP tools.