dvmcp/smithery.yaml at main · Karanxa/dvmcp · GitHub

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# Smithery.ai configuration
startCommand:
  type: stdio
  configSchema:
    type: object
    properties:
      port:
        type: integer
        default: 5000
        description: "Port to run the server on"
      openai_api_key:
        type: string
        description: "OpenAI API Key for model access"
      debug:
        type: boolean
        default: false
        description: "Enable debug mode"
    required: ["openai_api_key"]

  commandFunction: |-
    (config) => ({
      command: "python",
      args: [
        "-m",
        "flask",
        "run",
        "--host=0.0.0.0",
        `--port=${config.port}`
      ],
      env: {
        "FLASK_APP": "dvmcp.app:app",
        "FLASK_ENV": config.debug ? "development" : "production",
        "OPENAI_API_KEY": config.openai_api_key
      }
    })

build:
  dockerfile: Dockerfile
  dockerBuildPath: .

mcp:
  version: "1.0"
  endpoints:
    - name: tools/list
      method: POST
      path: /mcp
      requestSchema:
        type: object
        properties:
          jsonrpc: { type: string, const: "2.0" }
          method: { type: string, const: "tools_list" }
          id: { type: string }

    - name: tools/call
      method: POST
      path: /mcp
      requestSchema:
        type: object
        properties:
          jsonrpc: { type: string, const: "2.0" }
          method: { type: string, const: "tools_call" }
          params: {
            type: object,
            properties: {
              tool_name: { type: string }
              parameters: { type: object }
            }
          }
          id: { type: string }

    - name: resources/list
      method: POST
      path: /mcp
      requestSchema:
        type: object
        properties:
          jsonrpc: { type: string, const: "2.0" }
          method: { type: string, const: "resources_list" }
          id: { type: string }

    - name: resources/get
      method: POST
      path: /mcp
      requestSchema:
        type: object
        properties:
          jsonrpc: { type: string, const: "2.0" }
          method: { type: string, const: "resources_get" }
          params: {
            type: object,
            properties: {
              resource_id: { type: string }
            }
          }
          id: { type: string }

    - name: prompts/generate
      method: POST
      path: /mcp
      requestSchema:
        type: object
        properties:
          jsonrpc: { type: string, const: "2.0" }
          method: { type: string, const: "prompts_generate" }
          params: {
            type: object,
            properties: {
              prompt: { type: string }
              model: { type: string }
            }
          }
          id: { type: string }