# LangChain Documentation MCP Server

> Use this tool when you need to access up-to-date LangChain documentation, API references, and code examples for development purposes. It solves problems related to finding accurate and current information on LangChain development, providing real-time search functionality for tutorials, version info, and class specifications. It takes in search queries as input and outputs relevant documentation and code examples, making it ideal for use cases where LLMs require instant access to reliable LangChain resources.

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

## Description

Provides real-time access to official LangChain documentation, API references, and GitHub code examples to assist in LangChain-based development. It enables LLMs to search for tutorials, version info, and detailed class specifications directly from live sources.

## Trust

- **Trust score (0–1):** 0.89
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vy4kd0bksj)
- **Repository:** <https://github.com/LiteObject/langchain-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": "liteobject-langchain-mcp-server"
    }
  }
}
```

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