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by orlando2019 • APIs & Integration
A curated collection of reference Model Context Protocol (MCP) server implementations that let LLMs securely access tools and data sources.
Secure, toolified access to local files, Git repositories, or cloud storage via standardized MCP tools.
Query and analyze databases or vector stores (Postgres, BigQuery, Pinecone, etc.) using MCP-enabled SQL or search tools.
Perform web automation, scraping, or interact with third‑party APIs (browser automation, search, Slack, GitHub, etc.) through reference MCP servers.
This repository collects reference MCP servers implemented with the TypeScript and Python MCP SDKs and documents many third‑party and community servers and frameworks. It demonstrates how MCP can give LLMs controlled access to services like filesystems, databases, web search, cloud APIs, browser automation, and more. The README includes usage examples (npx, uvx, pip), client configuration snippets (e.g., Claude Desktop), and links to official docs and community resources to help you run or build MCP servers. Managed by Anthropic and maintained with community contributions, it is intended as a hub for discovering, running, and contributing MCP servers.
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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