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A Model Context Protocol (MCP) server for Stash issue analysis and task management

Project description

Stash MCP Server

PyPI version Python versions License: MIT

A Model Context Protocol (MCP) server for Stash issue analysis. This server enables AI assistants to interact with your Stash instance to analyze issues, find similar content, and identify subject matter experts.

Features

  • Issue Analysis: Get detailed analysis for specific issues including similar content discovery
  • Task Management: List and manage tasks assigned to the authenticated user
  • Secure Authentication: Uses MCP tokens for secure API access

Configuration

The server requires the following environment variables:

  • STASH_API_BASE: Base URL for your Stash API
  • STASH_MCP_TOKEN: Your Stash MCP authentication token

You can get these environment variables from your Stash account.

With Copilot, Cursor, or Claude Code

Add this to your IDE MCP configuration file:

{
  "mcpServers": {
    "stash": {
      "command": "uvx",
      "args": ["stash-mcp"],
      "env": {
        "STASH_API_BASE": "stash-api-base-url",
        "STASH_MCP_TOKEN": "your-mcp-token-here"
      }
    }
  }
}

Available Tools

list_my_tasks

Lists all tasks assigned to the authenticated user, grouped by categories.

get_issue_analysis

Get detailed analysis for a specific issue including:

  • Similar issues
  • Related documents
  • Relevant code files
  • Subject matter experts

Requirements

  • Python 3.10 or higher
  • Valid Stash account with MCP access
  • Network access to your Stash instance

License

This project is licensed under the MIT License - see the LICENSE file for details.

Support

For support and questions, See Stash Documentation.

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