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  1. Home
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  4. README

Apiany MCP README

The full upstream README, mirrored here for reference. Install config, tool schemas, adoption signals, and an original overview live on the Apiany MCP listing page.

Back to Apiany MCP View source on GitHub

APIAny MCP

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

APIAny connects agents and developers to 100+ AI models for chat, image, video, and multimodal workflows.

npm version npm package release license Node.js MCP server

Quick Start · Visual Setup · MCP Tools · Agent Skill · Development

English | 中文

APIAny MCP overview

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-integration so supported agents can learn the APIAny workflow.

Quick Start

Run the server directly with npm:

Terminal
npx -y @apiany-ai/mcp

Or install and run it from this repository:

bash
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

Install APIAny MCP with npx

2. Add APIAny MCP to Your Agent Client

Use this configuration in Claude Code, Cursor, VS Code, or another MCP-compatible client:

APIAny MCP client configuration

config.json
{
  "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:

config.json
{
  "APIANY_BASE_URL": "https://apiany.ai",
  "APIANY_API_KEY": "your_apiany_api_key"
}

3. Ask Your Agent to Use APIAny

APIAny MCP tool usage in an agent conversation

Example prompts:

text
Use APIAny MCP to find an image model for product photos, compare pricing, and show JavaScript integration code.
text
Use APIAny MCP to estimate credits for 20 gpt-style chat requests with 10k input tokens and 5k output tokens.
text
Use APIAny MCP to show JavaScript usage for nano-banana-pro and Python usage for veo3-1-fast.

MCP Tools

ToolPurposeAPI key
list_modelsList public APIAny models with pricing and capability metadata.No
search_modelsSearch models by text, provider, modality, or capability.No
get_modelGet one public model by model id or display name.No
estimate_costEstimate credits from public pricing metadata.No
get_model_usageReturn endpoint, payload, async behavior, and language examples for models.No
get_integration_examplesReturn cURL, Python, JavaScript, Go, Java, or PHP examples.No
get_docs_contextReturn compact APIAny documentation context from /llms.txt.No
create_image_taskCreate a paid async image task after explicit confirmation.Yes
create_video_taskCreate a paid async video task after explicit confirmation.Yes
get_task_statusRead 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

VariableRequiredDescription
APIANY_BASE_URLNoAPIAny base URL. Defaults to https://apiany.ai.
APIANY_API_KEYOnly for paid toolsAPI 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_KEY
  • confirm_paid_request=true

The server does not persist API keys. It only reads them from the current process environment.

Development

Terminal
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