Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
APIAny MCP server for model discovery, pricing, docs, and integration examples.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
APIANY_BASE_URL, APIANY_API_KEYValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"apiany": {
"command": "npx",
"args": [
"-y",
"@apiany-ai/mcp"
],
"env": {
"APIANY_BASE_URL": "your-value",
"APIANY_API_KEY": "your-value"
}
}
}
}Run this in your terminal
claude mcp add apiany --env APIANY_BASE_URL=your-value --env APIANY_API_KEY=your-value -- npx -y @apiany-ai/mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"apiany": {
"command": "npx",
"args": [
"-y",
"@apiany-ai/mcp"
],
"env": {
"APIANY_BASE_URL": "your-value",
"APIANY_API_KEY": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"apiany": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@apiany-ai/mcp"
],
"env": {
"APIANY_BASE_URL": "your-value",
"APIANY_API_KEY": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
APIANY_BASE_URL envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026
The registry name was verified with the GitHub account ailingqu, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
You need to fill in: APIANY_API_KEY
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.1.2) reached the registry 5 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, alalanet — check before you pay
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Check packages, MCP servers and x402 endpoints before agents install or pay. Signed.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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
APIAny MCP gives AI agents a structured way to understand and use APIAny:
llms.txt.skills/apiany-integration so supported agents can learn the APIAny workflow.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
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" }
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.
| 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 |
The APIAny Integration skill lives in skills/apiany-integration.
It helps agents:
| 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. |
Read-only tools work without an API key. Paid generation tools require both:
APIANY_API_KEYconfirm_paid_request=trueThe server does not persist API keys. It only reads them from the current process environment.
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.MIT