dvmcp

# 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 }