# LangChain Agent RAG MCP

> Use this tool when you need to retrieve knowledge or invoke tools using natural language, and it solves problems of information retrieval and task automation by providing a conversational interface that takes in user queries and outputs relevant information or tool outputs. It integrates LangChain, RAG, and Agent capabilities to enable seamless interactions. Ideal for use cases where users need to access knowledge or perform tasks through conversational inputs.

Canonical page: https://skillsregistry.net/skills/ql1009-langchain-agent-rag-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ql1009-langchain-agent-rag-mcp

## Description

An MCP server integrating LangChain, RAG, and Agent to provide knowledge retrieval and tool invocation through natural language.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pntrwxudx9)
- **Repository:** <https://github.com/QL1009/langchain-agent-rag-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": "ql1009-langchain-agent-rag-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ql1009-langchain-agent-rag-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ql1009-langchain-agent-rag-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