<h1 align="center">APIAny MCP</h1>
<p align="center"> <strong>Official MCP server for APIAny model discovery, pricing context, documentation lookup, and OpenAI-compatible integration examples.</strong> </p>
<p align="center"> <a href="https://apiany.ai">APIAny</a> connects agents and developers to 100+ AI models for chat, image, video, and multimodal workflows. </p>
<p align="center"> <a href="https://www.npmjs.com/package/@apiany-ai/mcp"><img alt="npm version" src="https://img.shields.io/npm/v/@apiany-ai/mcp?style=flat-square&color=174CFF"></a> <a href="https://www.npmjs.com/package/@apiany-ai/mcp"><img alt="npm package" src="https://img.shields.io/badge/npm-%40apiany--ai%2Fmcp-CB3837?style=flat-square"></a> <a href="https://github.com/ailingqu/ApiAny.AI-MCP/releases"><img alt="release" src="https://img.shields.io/github/v/release/ailingqu/ApiAny.AI-MCP?style=flat-square&color=12B76A"></a> <a href="LICENSE"><img alt="license" src="https://img.shields.io/badge/license-MIT-344054?style=flat-square"></a> <img alt="Node.js" src="https://img.shields.io/badge/node-%3E%3D20-339933?style=flat-square"> <img alt="MCP server" src="https://img.shields.io/badge/type-MCP%20Server-7C3AED?style=flat-square"> </p>
<p align="center"> <a href="#quick-start">Quick Start</a> · <a href="#visual-setup">Visual Setup</a> · <a href="#mcp-tools">MCP Tools</a> · <a href="#agent-skill">Agent Skill</a> · <a href="#development">Development</a> </p>
<p align="center"> <strong>English</strong> | <a href="README.zh-CN.md">中文</a> </p>
<p align="center"> <img src="assets/readme/overview.svg" alt="APIAny MCP overview" width="920"> </p>
What This Repository Provides
APIAny MCP gives AI agents a structured way to understand and use APIAny:
- Discover public APIAny models by provider, modality, capability, and pricing metadata.
- Estimate APIAny credits before choosing a model or running a workflow.
- Fetch compact documentation context from APIAny docs and
llms.txt. - Generate OpenAI-compatible cURL, Python, JavaScript, Go, Java, and PHP examples.
- Create image or video generation tasks only when an API key is configured and the user explicitly confirms paid usage.
- Package an agent skill at
skills/apiany-integrationso supported agents can learn the APIAny workflow.
Quick Start
Run the server directly with npm:
npx -y @apiany-ai/mcp
Or install and run it from this repository:
git clone git@github.com:ailingqu/ApiAny.AI-MCP.git
cd ApiAny.AI-MCP
npm install
npm start
Visual Setup
1. Install and Start the MCP Server
<p align="center"> <img src="assets/readme/install.svg" alt="Install APIAny MCP with npx" width="900"> </p>
2. Add APIAny MCP to Your Agent Client
Use this configuration in Claude Code, Cursor, VS Code, or another MCP-compatible client:
<p align="center"> <img src="assets/readme/config.svg" alt="APIAny MCP client configuration" width="900"> </p>
{
"mcpServers": {
"apiany": {
"command": "npx",
"args": ["-y", "@apiany-ai/mcp"],
"env": {
"APIANY_BASE_URL": "https://apiany.ai"
}
}
}
}
For paid image or video task tools, also set APIANY_API_KEY:
{
"APIANY_BASE_URL": "https://apiany.ai",
"APIANY_API_KEY": "your_apiany_api_key"
}
3. Ask Your Agent to Use APIAny
<p align="center"> <img src="assets/readme/tools.svg" alt="APIAny MCP tool usage in an agent conversation" width="900"> </p>
Example prompts:
Use APIAny MCP to find an image model for product photos, compare pricing, and show JavaScript integration code.
Use APIAny MCP to estimate credits for 20 gpt-style chat requests 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.
MCP Tools
| Tool | Purpose | API key | | --- | --- | --- | | list_models | List public APIAny models with pricing and capability metadata. | No | | search_models | Search models by text, provider, modality, or capability. | No | | get_model | Get one public model by model id or display name. | No | | estimate_cost | Estimate credits from public pricing metadata. | No | | get_model_usage | Return endpoint, payload, async behavior, and language examples for models. | No | | get_integration_examples | Return cURL, Python, JavaScript, Go, Java, or PHP examples. | No | | get_docs_context | Return compact APIAny documentation context from /llms.txt. | No | | create_image_task | Create a paid async image task after explicit confirmation. | Yes | | create_video_task | Create a paid async video task after explicit confirmation. | Yes | | get_task_status | Read async media task status. | Yes |
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.
Environment Variables
| Variable | Required | Description | | --- | --- | --- | | APIANY_BASE_URL | No | APIAny base URL. Defaults to https://apiany.ai. | | APIANY_API_KEY | Only for paid tools | API key used for paid image/video task creation and task polling. |
Safety Model
Read-only tools work without an API key. Paid generation tools require both:
APIANY_API_KEYconfirm_paid_request=true
The server does not persist API keys. It only reads them from the current process environment.
Development
npm install
npm run check
npx -y @modelcontextprotocol/inspector node src/server.js
Useful files:
src/server.js: MCP server implementation.examples/mcp.json: client configuration example.docs/distribution.md: release checklist for npm, MCP directories, and skill marketplaces.CHANGELOG.md: release history.
Links
- Website: https://apiany.ai
- GitHub: https://github.com/ailingqu/ApiAny.AI-MCP
- npm: https://www.npmjs.com/package/@apiany-ai/mcp
- Models: https://apiany.ai/models
- Docs context: https://apiany.ai/llms.txt
License
MIT











