# CNAPS.ai MCP Server

> CNAPS Studio — ai-cnaps-studio. Use this tool when you need to run multiple AI models with a single command, simplifying complex tasks and workflows. CNAPS Studio solves problems of model management and integration, allowing users to access over 100 AI models through a natural-language interface. It takes in natural-language requests and outputs results from various AI models, making it ideal for applications requiring diverse AI capabilities.

Canonical page: https://skillsregistry.net/skills/ai-cnaps-studio  
JSON: https://api.skillsregistry.net/v1/skills/ai-cnaps-studio

## Description

Run 70+ AI models and 50+ tools on CNAPS Studio from a natural-language request — Claude or n8n.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.cnaps%2Fstudio)

## Use it

MCP endpoint published by the skill: `https://mcp.cnaps.ai/mcp`

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ai-cnaps-studio"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-cnaps-studio` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-cnaps-studio/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt