trigger_pipeline

Instructions

Args:
    project_id: GitLab project ID
    ref: Branch/tag to run pipeline on (default: main)
    token: GitLab Personal Access Token (optional)
    ctx: MCP context (automatically injected)

Implementation Reference

• gitlab_clone_mcp_server/server.py:536-553 (handler)

  The async function that implements the trigger_pipeline tool logic. It takes project_id, ref (default 'main'), token, and ctx, then POSTs to the GitLab API endpoint /projects/{project_id}/pipeline with the ref data and returns the pipeline ID.

  @mcp.tool()
  async def trigger_pipeline(project_id: int, ref: str = "main", token: str = None, ctx=None) -> str:
      """Trigger a new pipeline.
      
      Args:
          project_id: GitLab project ID
          ref: Branch/tag to run pipeline on (default: main)
          token: GitLab Personal Access Token (optional)
          ctx: MCP context (automatically injected)
      """
      endpoint = f"/projects/{project_id}/pipeline"
      data = {"ref": ref}
      result = await make_gitlab_request(endpoint, "POST", data, ctx=ctx, token=token)
      
      if isinstance(result, dict) and "error" in result:
          return f"Error triggering pipeline: {result['error']}"
      
      return f"Pipeline triggered successfully: #{result['id']} on {ref}"

• gitlab_clone_mcp_server/server.py:536-537 (registration)

  The @mcp.tool() decorator on line 536 registers the trigger_pipeline function as an MCP tool with the FastMCP server instance.

  @mcp.tool()
  async def trigger_pipeline(project_id: int, ref: str = "main", token: str = None, ctx=None) -> str:

• gitlab_clone_mcp_server/server.py:537-548 (schema)

  The function signature defines the input schema: project_id (int, required), ref (str, default 'main'), token (optional str), ctx (auto-injected context). The return type is str.

  async def trigger_pipeline(project_id: int, ref: str = "main", token: str = None, ctx=None) -> str:
      """Trigger a new pipeline.
      
      Args:
          project_id: GitLab project ID
          ref: Branch/tag to run pipeline on (default: main)
          token: GitLab Personal Access Token (optional)
          ctx: MCP context (automatically injected)
      """
      endpoint = f"/projects/{project_id}/pipeline"
      data = {"ref": ref}
      result = await make_gitlab_request(endpoint, "POST", data, ctx=ctx, token=token)

• gitlab_clone_mcp_server/server.py:11-52 (helper)

  The helper function that trigger_pipeline calls to make the actual HTTP POST request to the GitLab API. It handles token resolution, header construction, and HTTP request execution.

  async def make_gitlab_request(endpoint: str, method: str = "GET", data: dict = None, ctx=None, token: str = None) -> dict[str, Any] | None:
      """Make a request to GitLab API with proper error handling."""
      # Priority: 1. Explicit token parameter, 2. Context headers, 3. Environment variable
      
      # If no explicit token provided, try to get from context
      if not token and ctx and hasattr(ctx, 'request_context') and ctx.request_context:
          # Try to get from request headers
          if hasattr(ctx.request_context, 'headers'):
              token = ctx.request_context.headers.get('GITLAB_TOKEN')
      
      # Fallback to environment variable
      if not token:
          token = os.getenv("GITLAB_TOKEN")
      
      if not token:
          return {"error": "GitLab token not provided. Please provide a token parameter, GITLAB_TOKEN in the request headers, or set the environment variable."}
      
      # Get GitLab URL (from context or environment)
      gitlab_url = os.getenv("GITLAB_URL", "https://gitlab.com")
      
      headers = {
          "PRIVATE-TOKEN": token,
          "Content-Type": "application/json"
      }
      
      url = f"{gitlab_url}/api/v4{endpoint}"
      
      async with httpx.AsyncClient() as client:
          try:
              if method == "GET":
                  response = await client.get(url, headers=headers, timeout=30.0)
              elif method == "POST":
                  response = await client.post(url, headers=headers, json=data, timeout=30.0)
              elif method == "PUT":
                  response = await client.put(url, headers=headers, json=data, timeout=30.0)
              elif method == "DELETE":
                  response = await client.delete(url, headers=headers, timeout=30.0)
              
              response.raise_for_status()
              return response.json() if response.content else {"success": True}
          except Exception as e:
              return {"error": str(e)}