Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@harness-mcp-server show the status of my latest Harness pipeline"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
A Model Context Protocol (MCP) server for integrating Harness with GenAI applications.
Continuous delivery and cloud cost management
Related MCP server: Azure MCP Server
Comprehensive Harness API coverage
Multiple authentication methods
Enterprise-ready with rate limiting
Full error handling and retry logic
Async support for better performance
pip install harness-mcp-serverOr install from source:
git clone https://github.com/asklokesh/harness-mcp-server.git
cd harness-mcp-server
pip install -e .Create a .env file or set environment variables according to Harness API requirements.
from harness_mcp import HarnessMCPServer
# Initialize the server
server = HarnessMCPServer()
# Start the server
server.start()MIT License - see LICENSE file for details
This server cannot be deployed
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