Harness Mcp Server
What is Harness Mcp Server
Harness MCP Server is a Model Context Protocol (MCP) server designed to integrate Harness with GenAI applications, focusing on continuous delivery and cloud cost management.
Use cases
Use cases for harness-mcp-server include automating deployment processes, managing cloud costs efficiently, integrating with GenAI applications, and providing a robust API for enterprise-level applications.
How to use
To use harness-mcp-server, install it via pip with ‘pip install harness-mcp-server’ or clone the repository and install from source. Configure the server by creating a ‘.env’ file or setting environment variables as per Harness API requirements. Initialize and start the server using Python code.
Key features
Key features include comprehensive Harness API coverage, multiple authentication methods, enterprise readiness with rate limiting, full error handling and retry logic, and asynchronous support for improved performance.
Where to use
Harness MCP Server can be used in software development environments, particularly in continuous integration and delivery pipelines, as well as in cloud cost management applications.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Harness Mcp Server
Harness MCP Server is a Model Context Protocol (MCP) server designed to integrate Harness with GenAI applications, focusing on continuous delivery and cloud cost management.
Use cases
Use cases for harness-mcp-server include automating deployment processes, managing cloud costs efficiently, integrating with GenAI applications, and providing a robust API for enterprise-level applications.
How to use
To use harness-mcp-server, install it via pip with ‘pip install harness-mcp-server’ or clone the repository and install from source. Configure the server by creating a ‘.env’ file or setting environment variables as per Harness API requirements. Initialize and start the server using Python code.
Key features
Key features include comprehensive Harness API coverage, multiple authentication methods, enterprise readiness with rate limiting, full error handling and retry logic, and asynchronous support for improved performance.
Where to use
Harness MCP Server can be used in software development environments, particularly in continuous integration and delivery pipelines, as well as in cloud cost management applications.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
Harness MCP Server
Harness Mcp Server
A Model Context Protocol (MCP) server for integrating Harness with GenAI applications.
Overview
Continuous delivery and cloud cost management
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
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
