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by tonykonst • Search & Retrieval
A curated collection of reference Model Context Protocol (MCP) server implementations and integrations that give LLMs secure, controlled access to tools and data sources.
Access and manipulate repositories, files, and version control (e.g., Git, GitHub, Filesystem servers).
Query and analyze structured data sources like PostgreSQL, BigQuery, Snowflake, and other databases.
Web retrieval, search, scraping, and RAG-style document access (e.g., Brave Search, Fetch, Puppeteer, web RAG servers).
This repository contains reference implementations (TypeScript and Python) of MCP servers and a large catalog of official and community-built servers demonstrating how MCP can connect LLMs to tools, databases, file systems, web search, and more. It includes examples, frameworks, and getting-started instructions (npx, uvx, pip) plus configuration examples for clients like Claude Desktop. The collection is intended as both a learning resource and a registry of servers you can run locally or integrate into agent workflows. Managed by Anthropic and licensed under MIT, it links to additional resources and third-party 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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