# xingtu-mcps

> xingtu-mcps — xingtu1996-xingtu-mcps. Use this tool when you need to leverage production-grade MCP servers for AI agent development, providing a compatible interface with DeepSeek Harness and integrating with git for seamless version control and collaboration. It solves problems related to AI agent tooling and deployment, offering a reliable and scalable solution. Ideal for use cases requiring robust MCP services, such as large-scale AI model training and deployment.

Canonical page: https://skillsregistry.net/skills/xingtu1996-xingtu-mcps  
JSON: https://api.skillsregistry.net/v1/skills/xingtu1996-xingtu-mcps

## Description

生产级 MCP 服务集合，供 AI Agent 工具调用（DSH 兼容）｜Production-grade MCP servers for agent tool use, DeepSeek Harness compatible

## Trust

- **Trust score (0–1):** 0.93
- **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/xingtu1996/xingtu-mcps)

## 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": "xingtu1996-xingtu-mcps"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/xingtu1996-xingtu-mcps` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/xingtu1996-xingtu-mcps/pull`

---
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