DevDocs MCP Implementation
@llmian-space
About DevDocs MCP Implementation
An MCP server inspired by devocs.io
Config
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Overview
What is DevDocs MCP Implementation?
DevDocs MCP Implementation is a Model Context Protocol (MCP) server for documentation management and integration. It provides a resource template system for URI‑based access to documentation resources, with type‑safe parameter handling and comprehensive error handling. This server is intended for developers who need to manage, integrate, and test documentation within an MCP ecosystem.
How to use DevDocs MCP Implementation?
Use the resource template system by creating ResourceTemplate objects with URI templates and parameter types, then extracting and validating parameters from URIs. Run property‑based tests with pytest tests/property/test_templates.py to verify template validation, parameter extraction, and error handling.
Key features of DevDocs MCP Implementation
- Resource template system with URI‑based access
- Type‑safe parameter handling via Pydantic
- Property‑based testing with Hypothesis
- Structured error handling and recovery strategies
- URI validation and parameter extraction
- Comprehensive error handling foundation
Use cases of DevDocs MCP Implementation
- Manage and version documentation resources through URI templates
- Integrate documentation with code using structured parameter validation
- Track issues and reviews via the task management system (planned)
- Automate documentation testing with property‑based tests
- Build custom documentation workflows on top of the MCP server
FAQ from DevDocs MCP Implementation
What is the current development status?
Basic project structure, the resource template system, property‑based testing infrastructure, URI validation, parameter extraction, and error handling are completed. Documentation processor integration, caching, task management, performance optimization, search, branch mapping, state tracking, and monitoring are planned or in progress.
How do I run the tests?
Run the property‑based tests with pytest tests/property/test_templates.py. Integration tests can be run from the tests/integration/ directory.
What is the project structure?
The project has four main source directories: resources/ (templates and managers), documentation/ (processors and integrators), tasks/ (issues and reviews), and tests/ (property and integration tests).
What are the core components?
The core component is the resource template system, which provides URI template matching, parameter extraction and validation using Pydantic, state management, and error handling. The server also includes documentation processors, integrators, and a task management system (in progress).
How can I contribute?
Create a feature branch, add property tests, implement the feature, update documentation, and submit a pull request. Follow the TDD approach: write property‑based tests first, implement minimal passing code, then refactor.
Frequently asked questions
What is the current development status?
Basic project structure, the resource template system, property‑based testing infrastructure, URI validation, parameter extraction, and error handling are completed. Documentation processor integration, caching, task management, performance optimization, search, branch mapping, state tracking, and monitoring are planned or in progress.
How do I run the tests?
Run the property‑based tests with `pytest tests/property/test_templates.py`. Integration tests can be run from the `tests/integration/` directory.
What is the project structure?
The project has four main source directories: `resources/` (templates and managers), `documentation/` (processors and integrators), `tasks/` (issues and reviews), and `tests/` (property and integration tests).
What are the core components?
The core component is the resource template system, which provides URI template matching, parameter extraction and validation using Pydantic, state management, and error handling. The server also includes documentation processors, integrators, and a task management system (in progress).
How can I contribute?
Create a feature branch, add property tests, implement the feature, update documentation, and submit a pull request. Follow the TDD approach: write property‑based tests first, implement minimal passing code, then refactor.
Basic information
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