copado_mcp

gauravkheterpal/copado_mcp

3.2

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The Copado MCP Server is designed to expose Copado DevOps capabilities to Language Learning Models (LLMs) using the Google Antigravity platform.

Tools
4
Resources
0
Prompts
0

Copado MCP Server Walkthrough

I have built a Copado MCP Server using Google Antigravity that exposes Copado DevOps capabilities to LLMs.

Features

  • List User Stories: Retrieve user stories with optional status filtering.
  • List Promotions: View existing promotions.
  • Create Promotion: Create a new promotion between environments.
  • Deploy Promotion: Deploy a promotion.

Implementation Details

  • Server: Implements MCP protocol over stdio using a custom MCPServer class (due to Python version constraints).
  • Client: CopadoClient with mock data support.
  • Mock Data: Pre-populated user stories and promotions for testing.

Verification

I ran a verification script verify_server.py that connects to the server process and executes the tools.

Results

  • initialize: Successful handshake.
  • tools/list: Correctly lists all 4 tools.
  • tools/call: Successfully called list_user_stories.

How to Run

To run the server and verify functionality:

  1. Set Environment Variables (Optional - for Real API):

    export SALESFORCE_INSTANCE_URL="https://your-instance.salesforce.com"
export SALESFORCE_ACCESS_TOKEN="your_access_token"

    Note: If these are not set or if the API call fails, the server will automatically fallback to Mock Mode.

  2. Run the Verification Script:

    python3 verify_server.py

    This script starts the server and acts as a client to call the tools.

  3. Run Standalone Server: To run the server for use with an MCP client (like Claude Desktop):

    python3 -m copado_mcp.server

    This will start the server on stdio. Configure your MCP client to run this command.