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Jcodeharness

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A paid remote MCP for OpenAI Codex harness MCP, built to return verdicts, receipts, usage logs, and

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About

A paid remote MCP for OpenAI Codex harness MCP, built to return verdicts, receipts, usage logs, and

README

Hosted MCP for OpenAI Codex harness MCP.

JCode Harness Cloud is a paid remote MCP endpoint for OpenAI Codex harness MCP. It exposes structured JSON tools, a public server card, token-based access, usage receipts, and audit-ready workflow evidence for AI agents and coding teams.

Public Endpoints

Access

This is a paid hosted remote MCP. Production calls require a bearer token issued from the product website.

Authorization: Bearer <token>

Unauthenticated browser visits to /mcp return a clear JSON error instead of internal details.

Tools

  • plan_coding_task
  • suggest_safe_command
  • record_test_verdict
  • read_run_history

Quick Start

  1. Open the website and choose a plan.
  2. Create or request an API token.
  3. Add the endpoint to an MCP client that supports Streamable HTTP remote servers.
  4. Send JSON-RPC requests with the bearer token.

Useful Links

Status

This repository is a public documentation and directory-submission reference for the hosted service. It does not contain the private production source code.

from github.com/clauxel/jcode-harness-cloud-mcp

Installing Jcodeharness

This server has no published package — it is built from source. Open the repository and follow its README.

▸ github.com/clauxel/jcode-harness-cloud-mcp

FAQ

Is Jcodeharness MCP free?

Yes, Jcodeharness MCP is free — one-click install via Unyly at no cost.

Does Jcodeharness need an API key?

No, Jcodeharness runs without API keys or environment variables.

Is Jcodeharness hosted or self-hosted?

A hosted option is available: Unyly runs the server in the cloud, no local setup required.

How do I install Jcodeharness in Claude Desktop, Claude Code or Cursor?

Open Jcodeharness on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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