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by adisuryanathan • Security & Privacy
A curated collection of reference Model Context Protocol (MCP) server implementations, examples, and links to community and official integrations for giving LLM agents controlled access to tools and data.
Secure, standardized access to external tools and data sources (databases, file systems, cloud storage, search, and APIs) via MCP servers.
Ready-made reference implementations in TypeScript and Python to integrate or extend MCP servers for custom tool access.
Discover and connect to community and official MCP integrations (GitHub, Slack, Redis, Pinecone, etc.) and frameworks for rapid deployment.
This repository collects reference MCP servers implemented in TypeScript and Python, plus a large registry of third-party and community-built servers, frameworks, and resources. It demonstrates how MCP can securely expose tools and data (databases, cloud services, file systems, search, etc.) to LLMs and provides examples, usage instructions, and starter tooling. Managed by Anthropic and licensed under MIT, it is intended as a central hub for discoverability and development of MCP servers and 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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