APIAny MCP Server

APIAny MCP Server

Provides tools for discovering AI models, checking pricing, retrieving API documentation context, and generating integration examples; also supports paid async image/video tasks.

Category
Visit Server

README

APIAny MCP

Official APIAny MCP server and agent skill package for model discovery, pricing lookup, documentation context, and OpenAI-compatible integration examples.

Official website: https://apiany.ai

What Is Included

  • src/server.js: MCP server for APIAny public model discovery, docs context, usage examples, and confirmed paid media tasks.
  • skills/apiany-integration: Agent skill for choosing APIAny models, estimating credits, and generating safe integration code.
  • examples/mcp.json: MCP client configuration example.
  • docs/distribution.md: Release checklist for npm, MCP registries, and skill marketplaces.

Links

Install MCP

npx @apiany/mcp

During local development from this repository:

npm install
npm start

Configuration

Environment variables:

  • APIANY_BASE_URL: APIAny site/API base URL. Defaults to https://apiany.ai.
  • APIANY_API_KEY: optional APIAny API key. Read-only public tools work without it.

Claude Code / Cursor / VS Code Config Example

{
  "mcpServers": {
    "apiany": {
      "command": "npx",
      "args": ["-y", "@apiany/mcp"],
      "env": {
        "APIANY_BASE_URL": "https://apiany.ai"
      }
    }
  }
}

Tools

  • list_models: list public APIAny models with pricing and capability metadata.
  • search_models: search models by text, provider, modality, or capability.
  • get_model: get one public model by model id or display name.
  • estimate_cost: estimate credits from public pricing metadata.
  • get_integration_examples: return cURL, Python, JavaScript, Go, Java, or PHP examples for chat, image, or video models.
  • get_model_usage: return endpoint, payload, async behavior, and language example for one or more models.
  • get_docs_context: return compact APIAny documentation context from /llms.txt.
  • create_image_task: create a paid async image task. Requires APIANY_API_KEY and confirm_paid_request=true.
  • create_video_task: create a paid async video task. Requires APIANY_API_KEY and confirm_paid_request=true.
  • get_task_status: read async task status. Requires APIANY_API_KEY.

Agent Skill

The APIAny Integration skill lives in skills/apiany-integration.

It helps agents:

  • Choose APIAny models by modality, provider, pricing, and capability.
  • Generate examples for chat, image, video, and media workflows.
  • Explain async task creation and polling.
  • Require explicit confirmation before paid generation tasks.

Prompt Examples

Ask an agent:

Use the APIAny MCP server to find an image model for product photos, compare pricing, and show a JavaScript integration example.
Use APIAny MCP to estimate the credits for 20 requests to gpt-5.5 with 10k input tokens and 5k output tokens.
Use APIAny MCP to show JavaScript usage for nano-banana-pro and Python usage for veo3-1-fast.
Use APIAny MCP to create an image task with nano-banana-pro after I confirm the paid request, then poll the task status.

Safety

Read-only tools work without an API key. Paid generation tools require APIANY_API_KEY and confirm_paid_request=true; the server does not persist API keys.

Development

npm install
npm run check

License

MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured