python -m venv .venv
. .venv/bin/activate
python -m pip install -r requirements.txt
mkdir -p data/input artifacts data/work
cp bioinformatics/plots/volcano/examples/minimal.csv data/input/
export BIO_MCP_EXECUTOR=local
uvicorn apps.mcp_api.main:app --host 127.0.0.1 --port 8000

curl http://127.0.0.1:8000/health
curl http://127.0.0.1:8000/api/tools

curl -X POST http://127.0.0.1:8000/api/jobs \
  -H 'content-type: application/json' \
  -d '{
    "unit": "volcano",
    "inputs": {
      "input_file": "file:///绝对路径/MCP/data/input/minimal.csv"
    },
    "parameters": {
      "feature_column": "gene_id",
      "p": 0.05,
      "drawFC": 1
    }
  }'

curl http://127.0.0.1:8000/api/jobs/<job-id>
curl http://127.0.0.1:8000/api/jobs/<job-id>/artifacts

apps/mcp_api/                        MCP API、注册表、Store、Runner
bioinformatics/plots/volcano       volcano 单元、Schema、Dockerfile、样例
check/                              通用文件检查和 check_volcano_input
data/input/                          允许提交的本地输入根目录
data/work/                           Job 临时工作目录
artifacts/                           Job 产物
deploy/                              Compose 和 API 镜像
tests/                               注册表、协议和契约测试
项目计划.md                           分阶段架构和验收计划
文件流向图.md                         输入检查、Runner、Docker 和产物流向
部署教程.md                           本地、Compose、Docker 执行部署
开发规范.md                           manifest、CLI、测试和安全规范

docker build -f bioinformatics/plots/volcano/Dockerfile \
  -t local/bio/volcano .
BIO_MCP_EXECUTOR=docker uvicorn apps.mcp_api.main:app \
  --host 127.0.0.1 --port 8000

python -m compileall -q apps
pytest -q
ruff check apps tests