Click on "Install 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 me recent deployments"
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: mcp-devops-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 installed
Unclaimed servers have limited discoverability.
If you are the server author, to access and configure the admin panel.
Enterprise AI Control Plane: governance, guardrails, spend tracking, compliance & smart routing.
Build, validate, and deploy multi-agent AI solutions from any AI environment.
SaaS intelligence for AI agents. 5 unified tools cover 1,000+ services with 91-96% token savings.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/LokiMCPUniverse/harness-mcp-server'
If you have feedback or need assistance with the MCP directory API, please join our Discord server