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Expose internal agent tools as a standard MCP server for unified access.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "harness_to_mcp" yet — see the docs or source repo.
I want to expose internal tools from Claude Code and Codex as one MCP service. Explain the integration approach, core components, and the minimum viable deployment steps with harness_to_mcp.
A practical architecture overview, call flow, and step-by-step deployment checklist.
harness_to_mcp is not exposing tools correctly when intercepting LLM API calls. List likely causes, a debugging sequence, and the logs and configuration items to inspect.
A structured troubleshooting guide with causes, checkpoints, and fix recommendations.
Evaluate using harness_to_mcp to expose internal agent tools from the perspectives of security, maintainability, compatibility, and scalability, then provide implementation recommendations.
An integration assessment with risks identified and recommended best practices.
Forward MCP tools to coding agents for session-based development tasks.
Enable Claude Code to perform coding tasks through the OpenAI Codex CLI.
Wrap Claude Code CLI as MCP tools for headless coding sessions and automation.
Delegate coding tasks to Codex via MCP with security and result checks.
Convert REST APIs into MCP tools for direct AI client access.
Give AI agents unified access to Harness for deployment and DevOps workflows.