docs-mcp-server and mcp-server-mattermost
These are ecosystem siblings—one provides a general documentation indexing and retrieval infrastructure that could theoretically index Mattermost content, while the other provides direct MCP integration with a specific communication platform, each solving different access patterns within the broader MCP ecosystem.
About docs-mcp-server
arabold/docs-mcp-server
Grounded Docs MCP Server: Open-Source Alternative to Context7, Nia, and Ref.Tools
Fetches documentation from websites, GitHub, npm, PyPI, and local files, then indexes it with optional semantic vector search for AI-grounded queries—eliminating hallucinations by providing version-specific context. Implements MCP (Model Context Protocol) with SSE transport for long-running server mode or standalone CLI/Agent Skills, supporting 90+ file formats including PDFs, code repositories, and Jupyter notebooks. Runs entirely local with optional embedding models (OpenAI, Ollama, Gemini) for enhanced search quality.
About mcp-server-mattermost
cloud-ru-tech/mcp-server-mattermost
MCP server for Mattermost — let Claude, Cursor, and other AI assistants work with channels, messages, and files
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