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Harness MCP Server

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Python
Remote

Harness MCP Server

Harness Mcp Server

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Python MCP

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A Model Context Protocol (MCP) server for integrating Harness with GenAI applications.

Overview

Continuous delivery and cloud cost management

Related MCP server: ForLoop MCP

Features

  • Comprehensive Harness API coverage

  • Multiple authentication methods

  • Enterprise-ready with rate limiting

  • Full error handling and retry logic

  • Async support for better performance

Installation

pip install harness-mcp-server

Or install from source:

git clone https://github.com/asklokesh/harness-mcp-server.git
cd harness-mcp-server
pip install -e .

Configuration

Create a .env file or set environment variables according to Harness API requirements.

Quick Start

from harness_mcp import HarnessMCPServer

# Initialize the server
server = HarnessMCPServer()

# Start the server
server.start()

License

MIT License - see LICENSE file for details

This server cannot be deployed

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Maintenance

ActivityInactive
ResponsivenessNo issues

Resources

Related MCP Connectors

Related MCP Servers

  • ForLoop MCP

    Master0fFate
    A
    license
    Not graded
    quality
    D
    maintenance
    Enables AI harnesses to run iterative loops on code repositories with built-in quality evaluations, security gates, and approval workflows for tasks like fixing tests or implementing features.
    3 npm
    MIT

  • harness-mcp-server

    asklokesh
    F
    license
    Not graded
    quality
    D
    maintenance
    Integrates Harness with GenAI applications via the Model Context Protocol, enabling continuous delivery and cloud cost management through natural language.
    -