regenrek

Farcall MCP — Development skill for Claude Code

Development community

Let Claude Code call Codex, or Codex call Claude Code, through one pending MCP call.

How to install Farcall MCP

This entry records only its repository, not the path inside it, so there is no exact command to give. Open regenrek/farcall-mcp and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Farcall MCP does

Let Claude Code call Codex, or Codex call Claude Code, through one pending MCP call.

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README

Farcall MCP

![Farcall. Codex and Claude Code mascots talking on connected telephones.](docs/images/farcall-banner.png)

Let Claude Code call Codex, or Codex call Claude Code, through one pending MCP call.

The worker builds or reviews. The parent waits for the result, then resumes the same session for corrections. No status polling needed.

Install

**In Claude Code**, install the Codex worker.

/plugin marketplace add regenrek/farcall-mcp
/plugin install codex-worker@farcall

Start the parent with automatic MCP backgrounding disabled.

CLAUDE_CODE_MCP_AUTO_BACKGROUND_MS=0 MCP_TOOL_TIMEOUT=7200000 claude

**In Codex**, install the Claude worker.

codex plugin marketplace add regenrek/farcall-mcp
codex plugin add claude-worker@farcall

Start a new session after installation. In Codex 0.147.0 or newer, the plugin keeps the worker tool outside Code Mode without extra configuration. Follow the [host setup guide](docs/installation.md) for persistent settings, manual installation & a check that your host waits without polling.

Use it

Ask Claude Code to use `/codex-worker:codex-worker`, or Codex to use `$claude-worker`, with your task. For example,

Use Claude worker with this task: "Add CSV export to the reports page and run the tests."
Give me the changes and test results back.

The `run` tool accepts the task directly.

{
  "cwd": "/absolute/path/project",
  "delegation_id": "review-001",
  "prompt": "Review the current changes. Do not edit files. Return concrete findings.",
  "model": "claude-opus-5-5",
  "effort": "high"
}

For 1–5 parallel workers in separate checkouts, use one `run_batch` call. [Batch usage, corrections & recovery](docs/batches.md).

Change `model` to an identifier supported by the worker CLI. [Models, permissions & session resume](docs/usage.md).

Full logs are opt-in with `trace: true`. Normal runs keep only the state needed for retries & resume, plus the full answer if the returne