Code Worker MCP
Enables Codex to offload expensive code reading, editing, and checking to a worker agent via Claude Code, supporting async jobs and long-running tasks.
README
Code Worker MCP
Code Worker MCP for Codex.
The host agent defines task boundaries and reviews results; the worker does the expensive code reading, editing, and checking through Claude Code plus a configured provider.
Repository:
- GitHub: HuangYuan360/code-worker-mcp
- GitLab: pk-skills/lab/code-worker-mcp
Why This Exists
This project is built to solve a specific Codex workflow problem:
- the main thread should not spend most of its budget reading code
- long coding tasks should be able to run quietly in the background
- the host should see compact facts, not large logs by default
- execution should support clear
fast / thinktiers
The goal is to save Codex main-thread tokens, not provider tokens.
What It Does
- runs real code work through Claude Code
- supports async worker jobs
- supports sync tiny patches
- returns compact status, checks, policy, and change summaries
- supports long-running quiet jobs with heartbeat and liveness signals
- supports
execution_tier,task_label, andmodel_label
flowchart LR
A["Codex host"] -->|"task / tier / boundary"| B["Code Worker MCP"]
B -->|"start"| C["Claude Code worker"]
C -->|"read / edit / check"| D["real workspace"]
C -->|"compact status"| B
B -->|"task_label / execution_tier / model_label / files_changed / checks_run"| A
Recommended Deployment
Recommended mode: source deployment.
git clone https://github.com/HuangYuan360/code-worker-mcp.git
cd code-worker-mcp
npm install
npm run mcp:doctor
Add this MCP to ~/.codex/config.toml:
[mcp_servers.code-worker]
command = "node"
args = ["/absolute/path/to/code-worker-mcp/src/code-worker-mcp.mjs"]
[mcp_servers.code-worker.env]
CODE_WORKER_API_KEY_FILE = "/Users/you/.codex/secrets/code_worker_api_key"
CODE_WORKER_BASE_URL = "https://your-provider-compatible-endpoint/v1"
CODE_WORKER_FAST_MODEL = "<provider-fast-model>"
CODE_WORKER_THINK_MODEL = "<provider-think-model>"
CODE_WORKER_PERMISSION_PRESET = "open"
Restart Codex after configuration.
Required Deployment Inputs
Do not guess these values:
- provider key source
CODE_WORKER_FAST_MODELCODE_WORKER_THINK_MODELCODE_WORKER_PERMISSION_PRESET
Provide these when needed:
CODE_WORKER_BASE_URLCLAUDE_BIN
Validation
Recommended checks:
npm run mcp:doctor
npm run mcp:smoke:tools
Usage
Example async task:
{
"name": "code_worker_start_implementation",
"arguments": {
"cwd": "/absolute/project/path",
"task": "Make the requested code change.",
"task_label": "orders-import-fix",
"execution_tier": "fast"
}
}
Execution tiers:
fastthinkautofor host orchestration only
Compact result shape:
{
"task_label": "orders-import-fix",
"execution_tier": "fast",
"model_label": "flash"
}
Long-Running Jobs
- start long tasks with
code_worker_start_implementation - do not use
code_worker_wait_for_jobas the main loop - prefer sparse
code_worker_get_job - trust heartbeat and liveness fields
- do not cancel only because the worker is quiet
Cancellation requires an explicit reason:
user_requestedobsoleteunsafe
Installation Guide For Other AI Tools
Installing only the MCP is not enough.
Also install the companion skill into local Codex at:
~/.codex/skills/code-worker-governance/SKILL.md
See:
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.