# LangChain Knowledge

> Use this tool when you need to search documentation and source code across the LangChain ecosystem, solving problems of information discovery and retrieval. It provides a query-based interface with language filtering for Python and JavaScript, and is accessible as an npm package via stdio transport. Ideal for developers working within the LangChain ecosystem who require efficient searching and retrieval of relevant code and documentation.

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

## Description

LangChain Knowledge provides four MCP tools for searching documentation and source code across the LangChain ecosystem, including LangChain, LangGraph, LangSmith, and DeepAgents. Each tool supports query strings and language filtering (Python or JavaScript). The server is available as an npm package via stdio transport.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-24

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/baixianger-langchain-knowledge)
- **Repository:** <https://github.com/baixianger/langchain-mcp/tree/HEAD/packages/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": "baixianger-langchain-knowledge"
    }
  }
}
```

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