# MCP Server

> Use this tool when you need to enhance large language models (LLMs) with external tool capabilities, such as weather lookup and calculations, via natural language interfaces. The MCP Server implements Model Context Protocol, allowing for seamless integration of tools into the model's text output. It receives natural language inputs and returns enhanced text outputs with invoked tool results.

Canonical page: https://skillsregistry.net/skills/yisu201506-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/yisu201506-mcp-server

## Description

A Flask-based server that implements Model Context Protocol to enhance LLMs with external tool capabilities via natural language, allowing tools like weather lookup and calculations to be invoked directly in the model's text output.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-21

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/np0gzeg9av)
- **Repository:** <https://github.com/yisu201506/mcp_server>

## 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": "yisu201506-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/yisu201506-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/yisu201506-mcp-server/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