Cowork History
Hybrid search for Cowork history: FTS, Spotlight, and semantic vectors
What is Cowork History?
Cowork History is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to hybrid search for cowork history: fts, spotlight, and semantic vectors
Hybrid search for Cowork history: FTS, Spotlight, and semantic vectors
This server falls under the Search & Data Extraction category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Hybrid search for Cowork history: FTS, Spotlight, and semant
Use Cases
Maintainer
Works with
Installation
PIP
pip install cowork-historyManual Installation
pip install cowork-historyConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Cowork History
What is Cowork History?
Cowork History is a Model Context Protocol (MCP) server that hybrid search for cowork history: fts, spotlight, and semantic vectors It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Cowork History?
Install via pip with: pip install cowork-history. Then configure your AI client to connect to this MCP server.
Which AI clients work with Cowork History?
Cowork History works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Cowork History free to use?
Yes, Cowork History is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Browse More Search & Data Extraction MCP Servers
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Set Up Cowork History in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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