# langchain-mcp

> langchain-mcp — baixianger-langchain-mcp. Use this tool when you need to find specific information or answers across the LangChain ecosystem, including documentation and source code for various LangChain projects. It solves problems of information discovery and retrieval, providing relevant results through semantic search. The tool takes in search queries as input and returns relevant outputs, making it ideal for use cases where quick access to ecosystem knowledge is required.

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

## Description

Provides semantic search across the entire LangChain ecosystem, including documentation and source code for LangChain, LangGraph, LangSmith, and DeepAgents.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/yo3fjm3sz7)
- **Repository:** <https://github.com/baixianger/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": "baixianger-langchain-mcp"
    }
  }
}
```

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