The Meta API MCP Server is a gateway that connects various APIs to language models via the Model Context Protocol (MCP), enabling AI assistants to access real-world data sources.
From the registry: You can connect any API to LLMs. This enables AI to interact directly with APIs
$ npm install -g meta-api-mcp-serverPlease install the `meta-api-mcp-server` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Install globally** — Install from npm Run: `npm install -g meta-api-mcp-server`
- **Create API config** — JSON config file for the API you want to connect
Canonical MCP server config (stdio transport):
- command: `meta-api-mcp-server`
- args: []
- required environment variables:
- `MCP_CONFIG_SOURCE`: Path to API config JSON file (example: `api-configs/my-api.json`)
- optional environment variables:
- `API_KEY`: API key for the configured API (name varies by config) (example: `<your-api-key>`)
Note: Generic API gateway MCP. Configure via JSON. Supports Postman Collection conversion.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.API_KEYrequiredYour API key for authentication.LEMON_SQUEEZY_API_KEYrequiredAPI key for LemonSqueezy integration.MCP_CONFIG_SOURCErequiredPath to the configuration source file.MCP server that exposes GraphQL operations as tools for AI models.