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by POC-2025 • NLP & LLM
A curated collection of reference Model Context Protocol (MCP) server implementations and community integrations to give LLMs secure, controlled access to tools and data sources.
Ready-to-run reference implementations to connect LLMs to common services (filesystems, databases, Git, cloud providers) via MCP tools.
A searchable registry of community MCP servers to extend capabilities (search, QA, automation, vector stores, analytics).
Examples and quick-start commands (npx, uvx, pip) to install and configure MCP servers for local or hosted use.
This repository aggregates official reference MCP servers (TypeScript and Python) and links to many third-party/community servers, demonstrating how MCP can be used to expose tools, data, and workflows to LLM agents. It includes usage examples (npx, uvx, pip) and configuration samples for clients like Claude Desktop, plus guidance for building your own MCP servers. Managed by Anthropic and licensed under MIT, it serves both as a learning resource and as a registry of available MCP integrations.
Create multiple new entities in the knowledge graph
Create multiple new relations between entities in the knowledge graph. Relations should be in active voice
Add new observations to existing entities in the knowledge graph
Delete multiple entities and their associated relations from the knowledge graph
Delete specific observations from entities in the knowledge graph
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