# LangChain Agent MCP Server

> Use this tool when you need to enable multi-step reasoning tasks and execute ReAct patterns with LangChain agents. It solves problems requiring complex, sequential decision-making by providing a production-ready interface through the Model Context Protocol. Ideal for deploying AI models on Google Cloud Run, it accepts input requests and returns output responses via a FastAPI service.

Canonical page: https://skillsregistry.net/skills/mcpmessenger-langchainmcp  
JSON: https://api.skillsregistry.net/v1/skills/mcpmessenger-langchainmcp

## Description

Exposes LangChain agent capabilities through the Model Context Protocol, enabling multi-step reasoning tasks with ReAct pattern execution via a production-ready FastAPI service deployed on Google Cloud Run.

## 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:** devops-ci
- **Updated:** 2026-05-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wdjulqpjx9)
- **Repository:** <https://github.com/mcpmessenger/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": "mcpmessenger-langchainmcp"
    }
  }
}
```

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

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