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From Slack Logs to Smart Search — Powered by MCP and Claude Desk…

@AdilFayyaz

Repository

Basic information

Category

Communication

License

MIT

Transports

stdio

Author

AdilFayyaz

About From Slack Logs to Smart Search — Powered by MCP and Claude Desktop

Using Model Context Protocol (MCP) to build a local Slack thread searcher with Claude Desktop and a lightweight Python server.

#slack#search#mcp#claude-desktop

From Slack Logs to Smart Search — Powered by MCP and Claude Desktop config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "Slack-Search": {
      "command": "python3",
      "args": [
        "-m",
        "venv",
        ".venv"
      ]
    }
  }
}

From Slack Logs to Smart Search — Powered by MCP and Claude Desktop tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is From Slack Logs to Smart Search — Powered by MCP and Claude Desktop?

A local MCP server that parses Slack export logs and registers custom MCP resources for intelligent search, integrating with Claude Desktop to allow natural language queries of Slack data privately and locally.

How to use From Slack Logs to Smart Search — Powered by MCP and Claude Desktop?

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.”

Key features of From Slack Logs to Smart Search — Powered by MCP and Claude Desktop

  • 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

Use cases of From Slack Logs to Smart Search — Powered by MCP and Claude Desktop

  • Search for specific discussions (e.g., “onboarding discussions from February”)
  • Query for decisions or mentions in a channel (e.g., “pricing model in #general”)
  • Find all mentions of a keyword across Slack exports (e.g., “launch” in random)
  • Resurface important context from old threads without leaving Claude Desktop

Frequently asked questions

1

What does this project do?

It sets up a local MCP server that parses Slack export logs and registers custom resources (`search://` and `summary://`) so that Claude Desktop can search Slack data using natural language.

2

What data does it use?

The project expects a “Slack-dataset” folder containing Slack export JSON files. A sample dataset is available at https://github.com/preethac/Software-related-Slack-Chats-with-Disentangled-Conversations.

3

How does it integrate with Claude Desktop?

You add the MCP server configuration to Claude Desktop’s config file (`claude_desktop_config.json`), pointing to the local `mcp_server.py` script. Claude Desktop then makes MCP calls to fetch and return contextual results.

4

Is my data kept private?

Yes. The server runs entirely locally, and no data is uploaded to the cloud. The README emphasizes “all locally and privately” and “without uploading your data to the cloud.”

5

What are the runtime requirements?

Python 3, a virtual environment, and the `requirements.txt` packages. The server is started via a command in the Claude Desktop config (e.g., using `/bin/zsh` to activate the venv and run `mcp_server.py`).

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