# MCP LLMS-TXT Documentation Server

> Use this tool when you need to manage and retrieve documentation for Large Language Models (LLMs) in integrated development environments (IDEs) and applications. It solves the problem of context retrieval by providing full control over loading and fetching documentation from llms.txt sources. The tool accepts llms.txt files as input and outputs relevant documentation, making it ideal for use cases that require efficient and customizable documentation management.

Canonical page: https://skillsregistry.net/skills/langchain-ai-mcpdoc  
JSON: https://api.skillsregistry.net/v1/skills/langchain-ai-mcpdoc

## Description

An MCP server that provides tools to load and fetch documentation from any llms.txt source, giving users full control over context retrieval for LLMs in IDE agents and applications.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/g55da7rcrv)
- **Repository:** <https://github.com/langchain-ai/mcpdoc>

## 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": "langchain-ai-mcpdoc"
    }
  }
}
```

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