Cowork Semantic Search

v1.0.0Search & Data Extractionstable

Local offline semantic search over documents (txt, md, pdf, docx, pptx, csv). Indexes folders into a LanceDB vector database with multilingual embeddings and supports hybrid vector + keyword search via Reciprocal Rank Fusion. No API keys, no cloud, n

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What is Cowork Semantic Search?

Cowork Semantic Search is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to local offline semantic search over documents (txt, md, pdf, docx, pptx, csv). indexes folders into a lancedb vector database with multilingual embeddings and supports hybrid vector + keyword search vi...

Local offline semantic search over documents (txt, md, pdf, docx, pptx, csv). Indexes folders into a LanceDB vector database with multilingual embeddings and supports hybrid vector + keyword search via Reciprocal Rank Fusion. No API keys, no cloud, n

This server falls under the Search & Data Extraction category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • Local offline semantic search over documents (txt, md, pdf,

Use Cases

Perform offline semantic search over documents locally.
Index txt, md, pdf, docx, pptx, csv files with LanceDB.
ZhuBit

Maintainer

LicenseAGPL 3.0
Languagetypescript
Versionv1.0.0
UpdatedN/A
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx cowork-semantic-search

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

Frequently Asked Questions about Cowork Semantic Search

What is Cowork Semantic Search?

Cowork Semantic Search is a Model Context Protocol (MCP) server that local offline semantic search over documents (txt, md, pdf, docx, pptx, csv). indexes folders into a lancedb vector database with multilingual embeddings and supports hybrid vector + keyword search via reciprocal rank fusion. no api keys, no cloud, n It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Cowork Semantic Search?

Follow the installation instructions on the Cowork Semantic Search GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with Cowork Semantic Search?

Cowork Semantic Search works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is Cowork Semantic Search free to use?

Yes, Cowork Semantic Search is open source and available under the AGPL 3.0 license. You can use it freely in both personal and commercial projects.

Browse More Search & Data Extraction MCP Servers

Explore all search & data extraction servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "cowork-semantic-search": { "command": "npx", "args": ["-y", "cowork-semantic-search"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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