From Slack Logs to Smart Search — Powered by MCP and Claude Desktop
About
Using Model Context Protocol (MCP) to build a local Slack thread searcher with Claude Desktop and a lightweight Python server.
Details
- Author
- AdilFayyaz
- GitHub stars
- 2
- Downloads
- 329
- Categories
- Communication, Search
Jump to
- Local, private search of Slack export logs
- AI-powered natural language querying via Claude Desktop
- Registers MCP resources: search://{query} and summary://{channel}
- No cloud upload – data stays on your machine
- Simple setup with Python virtual environment and Claude Desktop config
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
From Slack Logs to Smart Search — Powered by MCP and Claude DesktopCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Clone the repository, set up a Python virtual environment, install dependencies, and update the Claude Desktop config file (claude_desktop_config.json) with the correct paths to the virtual environment and mcp_server.py. Then open Claude Desktop and ask queries like “Search for onboarding discussions from February” or “Find mentions of ‘launch’ in random.”
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"from slack logs to smart search \u2014 powered by mcp and claude desktop": {
"Slack-Search": {
"command": "python3",
"args": [
"-m",
"venv",
".venv"
]
}
}
}
}
McpServers
{
"Slack-Search": {
"command": "python3",
"args": [
"-m",
"venv",
".venv"
]
}
}
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