Summary

Implement a Model Context Protocol (MCP) server in Go that provides document conversion capabilities using Pandoc.

Description

Create a new MCP server implementation in Go that wraps Pandoc functionality, allowing clients to convert documents between various formats through the MCP protocol.

Proposed Implementation

Core Features

• Document conversion: Convert between multiple document formats (Markdown, HTML, PDF, DOCX, LaTeX, etc.)
• Format detection: Automatically detect input format when possible
• Conversion options: Support common Pandoc options and filters
• Batch processing: Handle multiple document conversions efficiently

MCP Tools to Implement

1. pandoc_convert - Convert documents between formats

   • Parameters: input_text, from_format, to_format, options
   • Returns: converted document content

2. pandoc_list_formats - List supported input/output formats

   • Returns: available formats and their descriptions

3. pandoc_validate - Validate document syntax for a given format

   • Parameters: input_text, format
   • Returns: validation result and any errors

Technical Requirements

• Go 1.21+
• MCP SDK for Go
• System Pandoc installation (or bundled binary)
• Proper error handling and validation
• Concurrent request handling

Directory Structure

mcp-servers/go/pandoc-server/
├── cmd/
│   └── pandoc-server/
│       └── main.go
├── internal/
│   ├── server/
│   │   └── server.go
│   ├── pandoc/
│   │   └── wrapper.go
│   └── tools/
│       ├── convert.go
│       ├── formats.go
│       └── validate.go
├── go.mod
├── go.sum
├── README.md
└── Dockerfile

Testing Requirements

• Unit tests for all tools
• Integration tests with actual Pandoc binary
• Test various format conversions
• Error handling scenarios
• Performance benchmarks for large documents

Documentation

• Comprehensive README with installation and usage instructions
• API documentation for each tool
• Examples of common conversion scenarios
• Configuration options

Security Considerations

• Input sanitization to prevent command injection
• Resource limits for large documents
• Timeout handling for long conversions
• Safe handling of temporary files

Benefits

• Native Go performance
• Easy integration with Go-based MCP clients
• Cross-platform support
• Efficient resource utilization

Related Issues

• Similar to other language implementations of MCP servers for document processing tools

Acceptance Criteria

• All three MCP tools implemented and functional
• Comprehensive test coverage (>80%)
• Documentation complete
• Docker image available
• CI/CD pipeline configured
• Performance benchmarks documented