An MCP server that provides AI assistants with contextual access to your project's dependency documentation, enabling more accurate responses about
An MCP server that provides AI assistants with contextual access to your project's dependency documentation, enabling more accurate responses about libraries and
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| Variable | Description | Required |
|---|---|---|
| GITHUB_TOKEN | Credential the server authenticates with. | Yes |
| MODEL_NAME | Configuration value read at startup. | Optional |
| DEBUG | Configuration value read at startup. | Optional |
| MIN_CHUNK_SIZE | Configuration value read at startup. | Optional |
| MAX_CHUNK_SIZE | Configuration value read at startup. | Optional |
| CHUNKS_RETURNED | Configuration value read at startup. | Optional |
Store entities, relations and observations in a local knowledge graph with the reference Memory MCP server.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
Persistent memory for AI agents — history, context, semantic search, queues. 17 tools, stdio/SSE.
USDA Nutrition MCP Server - Model Context Protocol server for USDA FoodData Central API integration
Elite Obsidian RAG System - Second Brain with Claude Code Integration
Python library for interacting with local installed MindManager(tm) on Windows and MacOS platform.