[Proposal] add gitmcp badge for simple LLM-accessible documentation (#4502)

[gitmcp.io](https://gitmcp.io/) provides easy access to the latest
langgraph docs through a remote, free, open-source MCP. It's supported
by all major clients (including the new claude.ai web client). It
enables two access points -
- Empower AI agents (e.g., Cursor) with live documentation context to
prevent hallucinations.
- Chat with the documentation in the browser via the embedded chat

This PR proposes adding a new badge to help users make the most of
Langgraph's documentation with GitMCP. The badge is
[customizable](https://github.com/idosal/git-mcp?tab=readme-ov-file#-gitmcp-badge).
The count is a live count of users accessing Langgraph's documentation
through GitMCP.

Example:

[![GitMCP](https://img.shields.io/endpoint?url=https://gitmcp.io/badge/langchain-ai/langgraph)](https://gitmcp.io/langchain-ai/langgraph)

You can see a demo with Langgraph's GitHub pages at gitmcp.io.

Please let us know what you think :)
This commit is contained in:
Ido Salomon
2025-05-12 17:08:47 -04:00
committed by GitHub
parent ae5b4e834e
commit 9fce01f884
2 changed files with 4 additions and 2 deletions
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@@ -12,6 +12,7 @@
[![Downloads](https://static.pepy.tech/badge/langgraph/month)](https://pepy.tech/project/langgraph)
[![Open Issues](https://img.shields.io/github/issues-raw/langchain-ai/langgraph)](https://github.com/langchain-ai/langgraph/issues)
[![Docs](https://img.shields.io/badge/docs-latest-blue)](https://langchain-ai.github.io/langgraph/)
[![GitMCP](https://img.shields.io/endpoint?url=https://gitmcp.io/badge/langchain-ai/langgraph)](https://gitmcp.io/langchain-ai/langgraph)
Trusted by companies shaping the future of agents including Klarna, Replit, Elastic, and more LangGraph is a powerful low-level orchestration framework for building, managing, and deploying long-running, stateful agents.
@@ -80,4 +81,4 @@ While LangGraph can be used standalone, it also integrates seamlessly with any L
## Acknowledgements
LangGraph is inspired by [Pregel](https://research.google/pubs/pub37252/) and [Apache Beam](https://beam.apache.org/). The public interface draws inspiration from [NetworkX](https://networkx.org/documentation/latest/). LangGraph is built by LangChain Inc, the creators of LangChain, but can be used without LangChain.
LangGraph is inspired by [Pregel](https://research.google/pubs/pub37252/) and [Apache Beam](https://beam.apache.org/). The public interface draws inspiration from [NetworkX](https://networkx.org/documentation/latest/). LangGraph is built by LangChain Inc, the creators of LangChain, but can be used without LangChain.
+2 -1
View File
@@ -12,6 +12,7 @@
[![Downloads](https://static.pepy.tech/badge/langgraph/month)](https://pepy.tech/project/langgraph)
[![Open Issues](https://img.shields.io/github/issues-raw/langchain-ai/langgraph)](https://github.com/langchain-ai/langgraph/issues)
[![Docs](https://img.shields.io/badge/docs-latest-blue)](https://langchain-ai.github.io/langgraph/)
[![GitMCP](https://img.shields.io/endpoint?url=https://gitmcp.io/badge/langchain-ai/langgraph)](https://gitmcp.io/langchain-ai/langgraph)
Trusted by companies shaping the future of agents including Klarna, Replit, Elastic, and more LangGraph is a powerful low-level orchestration framework for building, managing, and deploying long-running, stateful agents.
@@ -80,4 +81,4 @@ While LangGraph can be used standalone, it also integrates seamlessly with any L
## Acknowledgements
LangGraph is inspired by [Pregel](https://research.google/pubs/pub37252/) and [Apache Beam](https://beam.apache.org/). The public interface draws inspiration from [NetworkX](https://networkx.org/documentation/latest/). LangGraph is built by LangChain Inc, the creators of LangChain, but can be used without LangChain.
LangGraph is inspired by [Pregel](https://research.google/pubs/pub37252/) and [Apache Beam](https://beam.apache.org/). The public interface draws inspiration from [NetworkX](https://networkx.org/documentation/latest/). LangGraph is built by LangChain Inc, the creators of LangChain, but can be used without LangChain.