# LangChain-MCP

> LangChain-MCP — marcosalmeron-langchain-mcp. Use this tool when you need to implement Model Context Protocol (MCP) in Python for creating AI agents with LangChain and FastMCP, solving issues related to local and external model integration. It provides a framework for building AI agents, accepting model inputs and generating contextual outputs. Ideal for use cases requiring MCP implementation in AI agent development, with interfaces to git for version control.

Canonical page: https://skillsregistry.net/skills/marcosalmeron-langchain-mcp  
JSON: https://api.skillsregistry.net/v1/skills/marcosalmeron-langchain-mcp

## Description

Practicas sobre implementaciones del Model Context Protocol LOCAL / EXTERNO en lenguaje python para la creacion de Agentes de IA con LangChain y FastMCP

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/MarcoSalmeron/LangChain-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": "marcosalmeron-langchain-mcp"
    }
  }
}
```

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

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