Apiany Mcp

What is APIAny MCP?

APIAny MCP is an official MCP server that gives AI agents structured access to APIAny’s platform for discovering 100+ AI models, retrieving pricing and documentation context, and generating OpenAI-compatible integration examples. It is built for developers and agents who need to programmatically search, compare, and interact with models across chat, image, video, and multimodal workflows.

How to use APIAny MCP?

Run the server directly with npx -y @apiany-ai/mcp or clone the repository, install dependencies, and start with npm start. Configure your MCP client (e.g., Claude Code, Cursor, VS Code) with the JSON configuration shown in the README, optionally setting APIANY_API_KEY for paid generation tools. Then ask your agent to use APIAny by referencing tools like list_models, search_models, or estimate_cost.

Key features of APIAny MCP

• List public models with pricing and capability metadata.
• Search models by text, provider, modality, or capability.
• Get a single model’s details by ID or display name.
• Estimate credit costs from public pricing metadata.
• Return cURL, Python, JavaScript, Go, Java, or PHP examples.
• Fetch compact documentation context from APIAny’s llms.txt.
• Create paid async image or video tasks (with explicit confirmation).
• Poll async media task status.

Use cases of APIAny MCP

• Discover and compare image models for product photography, then generate JavaScript integration code.
• Estimate credits for 20 chat requests with specific input/output token counts before choosing a model.
• Show multi-language usage examples (e.g., JavaScript for one model, Python for another) in a single agent session.
• Bundle APIAny integration as a reusable agent skill for supported clients.

FAQ from APIAny MCP

What are the runtime dependencies?

Node.js version 20 or higher is required. The server is published as an npm package and runs as a standard MCP server.

Does APIAny MCP require an API key?

Read-only tools (list, search, estimate, documentation) work without an API key. Paid generation tools (create_image_task, create_video_task, get_task_status) require both APIANY_API_KEY and explicit user confirmation via confirm_paid_request=true.

Where does the data come from and live?

All model, pricing, and documentation data is fetched live from the APIAny platform (default base URL https://apiany.ai). The server does not persist any data; it only reads from the current process environment.

What transport and authentication does the server use?

The server uses the standard MCP stdio transport. Authentication is handled via environment variables (APIANY_BASE_URL and optionally APIANY_API_KEY). API keys are not stored by the server.

Are there any known limits?

The README does not specify rate limits or model count caps. The server connects to 100+ AI models hosted on APIAny, and paid task creation is gated by explicit confirmation and a valid API key.