claude mcp add egoughnour-cowork-history -- uvx cowork-history
{
"mcpServers": {
"egoughnour-cowork-history": {
"command": "uvx",
"args": ["cowork-history"]
}
}
}
{
"mcpServers": {
"egoughnour-cowork-history": {
"command": "uvx",
"args": ["cowork-history"]
}
}
}
{
"mcpServers": {
"egoughnour-cowork-history": {
"command": "uvx",
"args": ["cowork-history"]
}
}
}
About This MCP Server
The io.github.egoughnour/cowork-history server is a search tool that enables hybrid search capabilities for Cowork history, combining full-text search, Spotlight, and semantic vectors. It connects to the Model Context Protocol and is accessible via standard input/output, with its package available on PyPI. Developers would use this tool when they need to implement advanced search functionality in their applications, particularly those leveraging the Cowork platform and its history features.
Hybrid search for Cowork history: FTS, Spotlight, and semantic vectors. This is a Model Context Protocol (MCP) server that extends AI assistants like Claude with search & web scraping capabilities via the stdio transport.
Package
cowork-history on pypi
HOW TO USE
Select your AI client above to get the install command. This MCP server uses the stdio transport and is available on pypi.
What tools does it provide?
The cowork-history server extends your AI assistant with search & web scraping capabilities. Once installed, your AI can use its tools automatically.
