# RAG Query MCP Server

> RAG Query MCP Server — akashbakshi99-rag-using-langchain-mcp. Use this tool when you need to retrieve relevant information from large collections of PDF documents and generate answers based on the content. It solves problems related to information retrieval, question answering, and document analysis by providing a hybrid approach that combines dense and BM25 retrieval methods. The tool takes in queries as input and returns generated answers as output, making it ideal for applications that require efficient and accurate document-based question answering.

Canonical page: https://skillsregistry.net/skills/akashbakshi99-rag-using-langchain-mcp  
JSON: https://api.skillsregistry.net/v1/skills/akashbakshi99-rag-using-langchain-mcp

## Description

Enables querying a hybrid-retrieval RAG pipeline (dense + BM25) over ingested PDF documents, returning answers generated by Gemini.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fokey2ckby)
- **Repository:** <https://github.com/Akashbakshi99/RAG-Using-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": "akashbakshi99-rag-using-langchain-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/akashbakshi99-rag-using-langchain-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/akashbakshi99-rag-using-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