Agentdocs
Enables AI models to access and retrieve technical documentation from various agent frameworks.
About
Agentdocs implements a Model Context Protocol (MCP) server, providing a standardized interface for AI models to access external data sources, specifically technical documentation for popular agent frameworks. It supports both Stdio and SSE transport protocols and allows querying documentation for frameworks like Langchain, LlamaIndex, Autogen, and others, enhancing the ability of AI agents to utilize up-to-date and relevant information.
Key Features
- Supports Stdio and SSE transport protocols
- Enables searching and retrieving documentation from multiple agent frameworks
- Includes example client implementations for Cursor and Cline
- Provides a standardized MCP interface for AI models
- Uses web scraping to extract text from documentation websites
Use Cases
- Enhancing AI agents with access to relevant technical documentation
- Integrating up-to-date documentation into AI model workflows
- Providing a unified interface for accessing documentation across different agent frameworks
Sponsored