"Searching for 'Lightrag' MCP Server" matching MCP servers:

Enables AI assistants to interact with LightRAG knowledge graphs, supporting smart upsert for Obsidian vaults, semantic queries, and document/graph management.

MCP server for integrating LightRAG with AI tools. Provides a unified interface for interacting with LightRAG API through the MCP protocol.

Enables AI agents to query a persistent LightRAG knowledge base through any MCP client, offering both ready-made answers with source links and raw context retrieval for custom response generation.

Enables AI clients to interact with a LightRAG knowledge graph server via MCP, providing 30 tools for queries, document management, and graph operations.

Exposes a FastMCP server that proxies to an existing LightRAG Server API, enabling querying, document insertion, and management of a LightRAG knowledge base through MCP tools.

Bridges AI assistants with LightRAG's knowledge graph capabilities, enabling document management and multi-mode queries through the Model Context Protocol.

A comprehensive MCP server that provides full integration with LightRAG API, offering 22 tools across document management, querying, knowledge graph operations, and system management.

Provides a durable memory layer for coding agents like Claude Code and Codex by indexing codebases and enabling RAG queries, reducing rediscovery tokens and providing senior-engineer orientation.

Enables AI assistants to manage documents, query knowledge graphs, and perform retrieval-augmented generation using LightRAG with 30 tools and multiple query modes.

Enables querying an internal LightRAG knowledge base to retrieve technical documentation and structured information using hybrid search modes. It facilitates the integration of raw text or HTML results from a LightRAG server into LLM workflows.

An Operit-compatible adapter of the Exa MCP server, enabling web search, code search, and company research capabilities in AI assistants. It fixes MCP handshake compatibility issues, allowing tools like web_search_exa and web_fetch_exa to load and run reliably.

A proof of concept MCP server for Apache OFBiz

Enables asking questions and performing semantic searches against an Inkeep knowledge base. Deployable to Vercel with Next.js.

A TypeScript-based server to interact with ArangoDB using the Model Context Protocol, enabling database operations and integration with tools like Claude and VSCode extensions for streamlined data management.

MCP for Azure DevOps Boards is a MCP server that lets your favourite AI browse, query and update Azure DevOps work items as if it were a project manager. Written in Rust and optimized for tokens usagem, It runs via stdio or HTTP mode and uses standard Azure authentication with az login.

Turns any static website into an MCP-searchable knowledge base by deploying a Cloudflare Worker that provides full-text search tools, enabling AI assistants to search and retrieve content from your site.

An integration server implementing the Model Context Protocol that enables LLM applications to interact with Milvus vector database functionality, allowing vector search, collection management, and data operations through natural language.

An MCP server that retrieves and cleans official documentation for popular AI/Python libraries via web search and LLM processing, exposing a get_docs tool.

A Python server implementing the Model Context Protocol to provide customizable prompt templates, resources, and tools that enhance LLM interactions in the continue.dev environment.

Enables AI agents to query Microsoft Entra data using natural language, converting requests into Microsoft Graph API calls for read-only enterprise IT scenarios.