Codex
  -> MCP tool: delegate_to_local_coder(task, workspace, max_steps)
    -> mcp_servers.local_coder.server
      -> workers.coding.worker.CodingWorker
        -> OpenAI-compatible local model server
        -> restricted file/test/git tools inside the requested workspace

git clone <your-repo-url>
cd local-coder-mcp-agent
python -m venv .venv
source .venv/bin/activate
python -m pip install -U pip
python -m pip install -e ".[dev,mlx]"
cp .env.example .env

MODEL_DIR=${HOME}/models/Qwen3-Coder-30B-A3B-Instruct-4bit
ALLOWED_WORKSPACE_ROOT=${HOME}/AI/projects
LOCAL_CODER_BASE_URL=http://127.0.0.1:8080/v1
LOCAL_CODER_MODEL=default_model
LOCAL_CODER_API_KEY=local

source .venv/bin/activate
./scripts/start_qwen3_coder_server.sh

python -m mlx_lm.server \
  --model "${MODEL_DIR}" \
  --host 127.0.0.1 \
  --port 8080 \
  --max-tokens 4096 \
  --temp 0

source .venv/bin/activate
./scripts/start_local_coder_mcp.sh

[mcp_servers.local-coder]
enabled = true
command = "${PROJECT_ROOT}/.venv/bin/python"
args = ["-m", "mcp_servers.local_coder.server"]
cwd = "${PROJECT_ROOT}"

[mcp_servers.local-coder.env]
LOCAL_CODER_BASE_URL = "http://127.0.0.1:8080/v1"
LOCAL_CODER_MODEL = "default_model"
LOCAL_CODER_API_KEY = "local"
ALLOWED_WORKSPACE_ROOT = "${ALLOWED_WORKSPACE_ROOT}"

Use the local-coder MCP server and specifically call delegate_to_local_coder.

Workspace:
${ALLOWED_WORKSPACE_ROOT}/sandbox

Task:
Add multiply(a: int, b: int) -> int to calculator.py.

Requirements:
- Do not change add(), subtract(), or divide().
- Add pytest coverage for multiply().
- Run all tests.
- Inspect git diff before finishing.

After the local worker completes the task, review its changes yourself.
Do not implement the change yourself unless the local worker fails.

python -m pytest -q
python -m py_compile \
  mcp_servers/local_coder/server.py \
  workers/coding/client.py \
  workers/coding/parser.py \
  workers/coding/tools.py \
  workers/coding/worker.py