# TianGong-AI-MCP

> Use this tool when you need to interact with AI models using standardized protocols, such as STDIO, SSE, and Streamable HTTP, to enable efficient and flexible model serving. The TianGong-AI-MCP server solves problems related to model deployment, inference, and management by providing a unified interface for AI model interactions. It accepts input requests through various protocols and outputs model responses, making it suitable for applications that require scalable and reliable AI model integration.

Canonical page: https://skillsregistry.net/skills/linancn-tiangong-ai-mcp-local  
JSON: https://api.skillsregistry.net/v1/skills/linancn-tiangong-ai-mcp-local

## Description

A Model Context Protocol (MCP) server that supports STDIO, SSE and Streamable HTTP protocols for AI model interactions.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jf52g15v9o)
- **Repository:** <https://github.com/linancn/tiangong-ai-mcp-local>

## 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": "linancn-tiangong-ai-mcp-local"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/linancn-tiangong-ai-mcp-local` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/linancn-tiangong-ai-mcp-local/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