# ai-sdk-tool-to-mcp

> ai-sdk-tool-to-mcp — tengis617-ai-sdk-tool-to-mcp. Use this tool when you need to convert AI SDK tools to MCP server compatible tools, solving integration and compatibility issues between AI development environments and MCP servers. It takes AI SDK tools as input and outputs MCP server compatible tools, supporting Node FastMCP for seamless integration. Ideal for use cases where AI tools need to be deployed on MCP servers, such as large-scale AI model training and deployment.

Canonical page: https://skillsregistry.net/skills/tengis617-ai-sdk-tool-to-mcp  
JSON: https://api.skillsregistry.net/v1/skills/tengis617-ai-sdk-tool-to-mcp

## Description

converts ai sdk tools to mcp server compatible tools. supports node fastmcp

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/tengis617/ai-sdk-tool-to-mcp)

## Use it

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": "tengis617-ai-sdk-tool-to-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tengis617-ai-sdk-tool-to-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tengis617-ai-sdk-tool-to-mcp/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