# MCPLEARNING

> MCPLEARNING — reyansh1996-mcplearning. Use this tool when you need to integrate multiple servers with a large language model (LLM) agent for tool-based interactions. It solves problems of connecting disparate services, such as math and weather servers, to a single AI interface, enabling standardized communication via the MCP protocol. This tool is ideal for demo projects or beginner-friendly applications that require seamless interactions between LLM agents and external services.

Canonical page: https://skillsregistry.net/skills/reyansh1996-mcplearning  
JSON: https://api.skillsregistry.net/v1/skills/reyansh1996-mcplearning

## Description

A beginner-friendly demo project that builds and connects multiple MCP servers (Math and Weather) to a LangChain LLM agent, enabling tool-based interactions via standardized MCP protocol.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ng8se62m9e)
- **Repository:** <https://github.com/Reyansh1996/MCPLEARNING>

## 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": "reyansh1996-mcplearning"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/reyansh1996-mcplearning` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/reyansh1996-mcplearning/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