DevDocs MCP Implementation

A Model Context Protocol (MCP) implementation for documentation management and integration.

Project Structure

src/ ├── resources/ │ ├── templates/ # Resource template system │ └── managers/ # Resource management ├── documentation/ │ ├── processors/ # Documentation processing │ └── integrators/ # Integration handlers ├── tasks/ │ ├── issues/ # Issue tracking │ └── reviews/ # Review management └── tests/ ├── property/ # Property-based tests └── integration/ # Integration tests

Related MCP server: MCP Documentation Service

Core Components

Resource Template System

The resource template system provides URI-based access to documentation resources with:

Type-safe parameter handling through Pydantic
Flexible URI template matching
Comprehensive error handling
State management for resource lifecycle

Example usage:

from src.resources.templates.base import ResourceTemplate # Create a template with parameter typing template = ResourceTemplate( uri_template='docs://api/{version}/endpoint', parameter_types={'version': str} ) # Extract and validate parameters params = template.extract_parameters('docs://api/v1/endpoint') template.validate_parameters(params)

Testing Strategy

The project uses property-based testing with Hypothesis to ensure:

URI template validation
Parameter extraction correctness
Error handling robustness
Type safety enforcement

Run tests:

pytest tests/property/test_templates.py

Implementation Progress

Completed

Basic project structure
Resource template system
Property-based testing infrastructure
URI validation and parameter extraction
Error handling foundation

In Progress

Documentation processor integration
Caching layer implementation
Task management system
Performance optimization

Planned

Search implementation
Branch mapping system
State tracking
Monitoring system

Development Guidelines

Follow TDD approach:
- Write property-based tests first
- Implement minimal passing code
- Refactor for clarity and efficiency
Error Handling:
- Use structured error types
- Implement recovery strategies
- Maintain system stability
Documentation:
- Keep README updated
- Document new features
- Include usage examples

Branch Management

The project uses a branch-based development approach for:

Feature tracking
Documentation integration
Task management
Progress monitoring

Contributing

Create feature branch
Add property tests
Implement feature
Update documentation
Submit pull request

Next Steps

Implement documentation processor integration
Add caching layer with proper lifecycle management
Develop task management system
Create monitoring and performance metrics

Support Resources

MCP Concepts: mcp-docs/docs/concepts/
Python SDK: python-sdk/src/mcp/
Example Servers: python-sdk/examples/servers/

This server cannot be installed

-

security - not tested

A

license - permissive license

-

quality - not tested

How are these scores calculated?

Resources

GitHub Repository

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Related Servers

DevDocs MCP