# com.clauxel.jcodeharness/jcodeharness-mcp

> Use this tool when you need to integrate OpenAI Codex with a remote Model Control Plane (MCP) for managing and tracking AI model usage. It solves problems related to model deployment, usage monitoring, and verdict management by providing outputs such as verdicts, receipts, and usage logs. Ideal for use cases requiring secure and controlled AI model interactions, this tool accepts input requests and returns structured output for further processing and analysis.

Canonical page: https://skillsregistry.net/skills/com-clauxel-jcodeharness-jcodeharness-mcp  
JSON: https://api.skillsregistry.net/v1/skills/com-clauxel-jcodeharness-jcodeharness-mcp

## Description

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

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.clauxel.jcodeharness%2Fjcodeharness-mcp)
- **Repository:** <https://github.com/clauxel/jcode-harness-cloud-mcp>

## Use it

MCP endpoint published by the skill: `https://jcodeharness.clauxel.com/mcp`

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "com-clauxel-jcodeharness-jcodeharness-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/com-clauxel-jcodeharness-jcodeharness-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/com-clauxel-jcodeharness-jcodeharness-mcp/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt