LLMS.txt Documentation
About
Provides AI systems with access to documentation from llms.txt files by fetching and parsing content from specified URLs, enabling seamless documentation lookup during coding sessions.
Details
- Author
- langchain-ai
- Repository
- langchain-ai/mcpdoc
- GitHub stars
- 307
- Downloads
- 23,046
- License
- MIT License
- Categories
- Developer Tools, Design, Workplace, File Management, AI, Search, Frontend
- Tags
- #visualization, #integration
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Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
LLMS.txt DocumentationCommand (node, npx, python, etc.)uvxArguments-
Argument 1
--from -
Argument 2
mcpdoc -
Argument 3
mcpdoc -
Argument 4
--urls -
Argument 5
LangGraph:https://langchain-ai.github.io/langgraph/llms.txt LangChain:https://python.langchain.com/llms.txt -
Argument 6
--transport -
Argument 7
stdio
Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
-
Argument 1
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
- Please see official uv docs for other ways to install
uv.
curl -LsSf https://astral.sh/uv/install.sh | sh
Both YAML and JSON configuration files should contain a list of documentation sources.
Each source must include an llms_txt URL and can optionally include a name:
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"llms.txt documentation": {
"env": {},
"args": [
"--from",
"mcpdoc",
"mcpdoc",
"--urls",
"LangGraph:https://langchain-ai.github.io/langgraph/llms.txt LangChain:https://python.langchain.com/llms.txt",
"--transport",
"stdio"
],
"shell": false,
"command": "uvx"
}
}
}Linux
{
"env": [],
"args": [
"--from",
"mcpdoc",
"mcpdoc",
"--urls",
"LangGraph:https://langchain-ai.github.io/langgraph/llms.txt LangChain:https://python.langchain.com/llms.txt",
"--transport",
"stdio"
],
"shell": false,
"command": "uvx"
}Macos
{
"env": [],
"args": [
"--from",
"mcpdoc",
"mcpdoc",
"--urls",
"LangGraph:https://langchain-ai.github.io/langgraph/llms.txt LangChain:https://python.langchain.com/llms.txt",
"--transport",
"stdio"
],
"shell": false,
"command": "uvx"
}Windows
{
"env": [],
"args": [
"--from",
"mcpdoc",
"mcpdoc",
"--urls",
"LangGraph:https://langchain-ai.github.io/langgraph/llms.txt LangChain:https://python.langchain.com/llms.txt",
"--transport",
"stdio"
],
"shell": false,
"command": "uvx"
}llms-txt
You can find llms.txt files for langgraph and langchain here:
| Library | llms.txt |
|------------------|------------------------------------------------------------------------------------------------------------|
| LangGraph Python | https://langchain-ai.github.io/langgraph/llms.txt |
| LangGraph JS | https://langchain-ai.github.io/langgraphjs/llms.txt |
| LangChain Python | https://python.langchain.com/llms.txt |
| LangChain JS | https://js.langchain.com/llms.txt |
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