mcp_argo_pipeline

mcp_argo_pipeline

MCP server to dispatch Argo WorkflowTemplates according to pipeline configurations, supporting multiple pipelines, authentication, and remote access.

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README

mcp_argo_pipeline — 按 Pipeline 调度 Argo WorkflowTemplate 的 MCP

文件 内容
pipelines.yaml pipeline、templates、instructions、kubeconfig、port、namespace
auth.yaml 各 pipeline 多 Bearer(username / unit)

入口仅 server.py(通过 MCP_PIPELINE 选择流程)。

快速开始

依赖由 uv 管理(pyproject.toml + uv.lock)。

cd mcp/mcp_argo_pipeline
cp pipelines.yaml.example pipelines.yaml
cp auth.yaml.example auth.yaml
uv sync          # 生成/更新 .venv(也可交给 start_serve.sh 自动 sync)

本地 Cursor(stdio)

{
  "mcpServers": {
    "argo-sirna": {
      "command": ".../mcp/mcp_argo_pipeline/.venv/bin/python",
      "args": [".../mcp/mcp_argo_pipeline/server.py"],
      "env": { "MCP_PIPELINE": "sirna" }
    }
  }
}

启动时校验 kubeconfig 与模板可访问性;排障可设 MCP_SKIP_STARTUP_CHECKS=1

服务器

start_serve.sh 启动前会执行 uv sync --frozen(可用 MCP_SKIP_UV_SYNC=1 跳过)。

./start_serve.sh
./start_serve.sh sirna
./start_serve.sh -f enzyme

默认端口(见 pipelines.yaml):affinity 8101、sirna 8102、enzyme 8103

远程客户端(Streamable HTTP)

服务端强制 Authorization: Bearer <token>,token 来自 auth.yaml(示例见 auth.yaml.example)。将下列片段写入 Cursor 的 mcp.json~/.cursor/mcp.json 或项目 .cursor/mcp.json),按实际主机改 url

{
  "mcpServers": {
    "argo-affinity": {
      "url": "http://127.0.0.1:8101/mcp",
      "headers": {
        "Authorization": "Bearer change-me-affinity-alice"
      }
    },
    "argo-sirna": {
      "url": "http://127.0.0.1:8102/mcp",
      "headers": {
        "Authorization": "Bearer change-me-sirna-carol"
      }
    },
    "argo-enzyme": {
      "url": "http://127.0.0.1:8103/mcp",
      "headers": {
        "Authorization": "Bearer change-me-enzyme-dave"
      }
    }
  }
}

对应示例身份:alice(结构生物学组)、carol(核酸药物组)、dave(酶工程组)。上线请改掉 change-me-*,勿把真实 token 提交仓库;也可用 "Authorization": "Bearer ${env:ARGO_SIRNA_TOKEN}" 从环境变量注入。

pipelines.yaml

pipelines:
  sirna:
    server_name: argo-sirna
    kubeconfig: "~/.kube/config"
    port: 8102
    instructions: |
      ...
    templates:
      - sirna-predict

环境变量

变量 含义
MCP_PIPELINE 当前 pipeline(必填)
MCP_PIPELINES_CONFIG pipelines.yaml 路径
MCP_AUTH_CONFIG auth.yaml 路径
MCP_TRANSPORT stdio / streamable-http
MCP_SKIP_STARTUP_CHECKS 1 跳过启动校验
MCP_SKIP_UV_SYNC 1 跳过 uv sync

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