This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
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
Integrate Connext AI into agentic workflows, enabling Connext product-aware assistance.
Query your team's drift, vulnerability, and upgrade data from any AI assistant. OAuth 2.1, 51 tools.
Connect AI agents to CloudBees Unify: feature flags, CI/CD, release orchestration, and security
Enable secure connectivity between Sentry issues and debugging data, and LLM clients, using a Model Context Protocol (MCP) server.
