Apiany Mcp

io.github.ailingquPublished by GitHub account ailingquv0.1.2Updated Oct 24, 2026

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

VerifiedSTDIODesktop onlyDeveloper Tools AI & ML

Server details

Identifier: io.github.ailingqu/apiany-mcp
Transport: STDIO
Runtime: Desktop only
Trust: Verified
Published: Sep 16, 2026

Security note

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Overview

AI-generated overview

Official APIAny MCP server that lets an assistant explore AI models, estimate credit costs, look up docs and generate integration examples.

What you can do: Browse, search and look up public APIAny models by provider, modality, capability and pricing metadata. Estimate credit costs from public pricing data. Fetch compact APIAny documentation context. Generate OpenAI-compatible cURL, Python, JavaScript, Go, Java and PHP examples. Create paid image or video tasks after a key is set and paid usage is explicitly confirmed, and read async task status.
When to use it: Use it when you want to pick an APIAny model, compare credit costs, or get integration code before writing your own calls; the paid task tools are for actually generating images or videos after configuring a key.
Requirements: Runs locally as an npm package, so it needs Node.js and network access. The optional APIANY_BASE_URL variable sets the service address and defaults to the official site. The paid image and video task tools additionally need the APIANY_API_KEY environment variable.

Before you install

The paid task tools spend credits and only run when APIANY_API_KEY is set and paid usage is explicitly confirmed. The server reads the key from the current process environment, so protect it. Model and documentation lookups send requests to the APIAny service.

Installation

In SourceWeft

Open Apiany Mcp in the dashboard and add it to a workspace.
Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

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:

Or install and run it from this repository:

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]

json

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

{  "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:

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.

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.

Use APIAny MCP to estimate credits for 20 gpt-style chat requests with 10k input tokens and 5k output tokens.

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

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

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

Source: README.md at commit 0fc4e24

Tools

SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

v0.1.2LatestSep 16, 2026

Score

50% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

Reached in the last 30 days25 pts
Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.
Auth declared10 pts
Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.
Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
DescriptionRequired15 pts
Logo10 pts
Documentation15 pts
License10 pts

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.