# Langflow Document Q&A Server

> Use this tool when you need to extract information from documents using natural language queries, solving problems such as knowledge retrieval and document analysis. It takes in documents and natural language questions as inputs and outputs relevant answers, providing an interface to interact with document Q&A flows. Ideal for use cases where you need to quickly retrieve specific information from large documents or datasets.

Canonical page: https://skillsregistry.net/skills/gongrzhe-langflow-doc-qa-server  
JSON: https://api.skillsregistry.net/v1/skills/gongrzhe-langflow-doc-qa-server

## Description

Enables querying documents through a Langflow backend using natural language questions, providing an interface to interact with Langflow document Q\&A flows.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-04-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/trl2y8nuig)
- **Repository:** <https://github.com/GongRzhe/Langflow-DOC-QA-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": "gongrzhe-langflow-doc-qa-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gongrzhe-langflow-doc-qa-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gongrzhe-langflow-doc-qa-server/pull`

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