io.github.ailingqu/apiany-mcp

APIAny MCP server for model discovery, pricing, docs, and integration examples.

Installation

Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).

NPM package @apiany-ai/mcp

Claude Code

claude mcp add apiany-mcp -e 'APIANY_BASE_URL=<APIANY_BASE_URL>' -e 'APIANY_API_KEY=<your apiany_api_key>' -- npx -y @apiany-ai/mcp@0.1.2

Configuration JSON (Claude Desktop, Cursor, VS Code)

{
    "mcpServers": {
        "apiany-mcp": {
            "command": "npx",
            "args": [
                "-y",
                "@apiany-ai/mcp@0.1.2"
            ],
            "env": {
                "APIANY_BASE_URL": "<APIANY_BASE_URL>",
                "APIANY_API_KEY": "<your apiany_api_key>"
            }
        }
    }
}

Variables d'environnement

APIANY_BASE_URL APIAny base URL. Defaults to https://apiany.ai.
APIANY_API_KEY secret Optional APIAny API key for paid image/video task tools and task polling.

Documentation

Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.

Sommaire

APIAny MCP
What This Repository Provides
Quick Start
Visual Setup
MCP Tools
Agent Skill
Environment Variables
Safety Model
Development
Links
License

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.

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

English | 中文

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:

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

2. Add APIAny MCP to Your Agent Client

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

{
  "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

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_KEY
confirm_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.

License

MIT

Questions fréquentes

Qu'est-ce que io.github.ailingqu/apiany-mcp ?

APIAny MCP server for model discovery, pricing, docs, and integration examples.

Comment installer io.github.ailingqu/apiany-mcp ?

Il s'exécute sur votre machine. Dans Claude Code : claude mcp add apiany-mcp -e 'APIANY_BASE_URL=<APIANY_BASE_URL>' -e 'APIANY_API_KEY=<your apiany_api_key>' -- npx -y @apiany-ai/mcp@0.1.2. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.

Faut-il une clé API pour io.github.ailingqu/apiany-mcp ?

Oui. Il attend APIANY_API_KEY, à renseigner dans sa configuration.

io.github.ailingqu/apiany-mcp est-il open source ?

Oui. Son code est sur GitHub sous licence MIT.

Qui maintient io.github.ailingqu/apiany-mcp ?

Il est publié par ailingqu. AI.tn le référence sans le maintenir ni le recommander.

Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.

Détails du serveur

Référencé dans: Registre MCP officiel
Éditeur: ailingqu
Catégorie: Productivité
Exécution: Local
Étoiles GitHub: ★ 0
Licence: MIT
Langage: JavaScript
Dernier commit: 24 juin 2026
Tickets ouverts: 0
Version: 0.1.2
Publié le: 24 juin 2026

io.github.ailingqu/apiany-mcp

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