Using Model Context Protocol (MCP) to build a local Slack thread searcher with Claude Desktop and a lightweight Python server.
Overview
What is Slack-Search?
Slack-Search is a local AI-powered search interface designed to enhance the experience of searching through Slack export logs using the Model Context Protocol (MCP) and Claude Desktop.
How to use Slack-Search?
To use Slack-Search, clone the repository, set up a virtual environment, and configure Claude Desktop to connect to the local MCP server. You can then query your Slack data using natural language directly in Claude Desktop.
Key features of Slack-Search?
- Local and private search of Slack logs without uploading data to the cloud.
- Integration with Claude Desktop for natural language queries.
- Custom MCP server that parses and indexes Slack export logs.
Use cases of Slack-Search?
- Searching for specific discussions or topics in Slack channels.
- Retrieving historical context from Slack threads for decision-making.
- Analyzing Slack conversations for insights and trends.
FAQ from Slack-Search?
- Can I use Slack-Search with any Slack export?
Yes! As long as you have the Slack export logs in JSON format, you can use this tool.
- Is my data safe with Slack-Search?
Yes! Slack-Search operates locally, ensuring your data remains private and secure.
- What is the Model Context Protocol (MCP)?
MCP is a protocol that allows for intelligent search and resource management, enhancing the capabilities of applications like Claude Desktop.