
Claude Desktop
Desktop · Freemium · Proprietary
Anthropic's official Claude AI desktop application. Supports MCP servers to extend functionality.
Knowledge Management · Search Tools

adiom-data/lance-mcp
A Model Context Protocol (MCP) server that enables LLMs to interact directly the documents that they have on-disk through agentic RAG and hybrid search in LanceDB. Ask LLMs questions about the dataset as a whole or about specific documents.
npx lance-mcp PATH_TO_LOCAL_INDEX_DIR{
"mcpServers": {
"lancedb": {
"command": "npx",
"args": [
"lance-mcp",
"PATH_TO_LOCAL_INDEX_DIR"
]
}
}
}LanceDB-powered serverless vector index and document summary catalog.
Efficient use of LLM tokens. The LLM itself looks up what it needs when it needs.
Security. The index is stored locally so no data is transferred to the Cloud when using a local LLM.
catalog_search
Search for relevant documents in the catalog
chunks_search
Find relevant chunks based on a specific document from the catalog
all_chunks_search
Find relevant chunks from all known documents
Details on this page are taken from the project's README. Open README
Clients mentioned in this server's README:

1Panel-dev/MaxKB
MaxKB = Max Knowledge Brain, it is an open-source platform for building enterprise-grade agents. MaxKB integrates Retrieval-Augmented Generation (RAG) pipelines, supports robust workflows, and provides advanced MCP tool-use capabilities.

bytedance/UI-TARS-desktop
TARS is ByteDance's multimodal AI agent stack, shipping two projects: Agent TARS (a CLI and Web UI agent built on MCP) and UI-TARS-desktop (a desktop GUI agent).

supermemoryai/supermemory
State-of-the-art memory and context engine for AI.

topoteretes/cognee
Cognee - The Free Open-Source AI Memory Platform for Agents.

makenotion/notion-mcp-server
For the best experience, use Remote Notion MCP, our official hosted MCP server. This repository is a separate, self-hosted MCP server implementation that is no longer actively maintained or supported. Please use Remote Notion MCP instead.

cyberagiinc/devdocs
[!WARNING] DevDocs Status: Not publicly maintained. Enhanced internal version at CyberAGI — public release coming soon. If you have any questions please reach out to info@cyberagi.ai.