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Query Documents with Langflow

Langflow Document Q&A Server MCP: Query documents using Langflow backend.

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GongRzhe
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91
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Updated Apr 2025
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Version 1.0.0
Models
claudeuniversal
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Why it matters

Integrate Langflow's document question-answering capabilities into your applications. This MCP server provides a streamlined interface to query your documents and retrieve answers via the Langflow backend.

Outcomes

What it gets done

01

Connect to Langflow backend for document Q&A.

02

Execute queries against document datasets.

03

Retrieve answers from the Langflow system.

04

Debug the Q&A process using MCP Inspector.

Install

Add it to your toolbox

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/vb-langflow-doc-qa-server | bash

Capabilities

Tools your agent gets

query_docs

Executes a query against the document question-answering system and returns answers from the Langflow backend

Overview

Langflow-DOC-QA-SERVER MCP Server

This is a Model Context Protocol (MCP) server for document question answering, powered by Langflow. It allows querying documents through a Langflow backend. Use this server to enable document Q&A capabilities by connecting a Langflow document Q&A flow as an MCP server.

What it does

This is a TypeScript-based MCP server that implements a document Q&A system. It demonstrates core MCP concepts by providing a simple interface to query documents through a Langflow backend.

To install this server for Claude Desktop, you can use Smithery:

npx -y @smithery/cli install @GongRzhe/Langflow-DOC-QA-SERVER --client claude

Alternatively, you can manually configure it by adding the following to your claude_desktop_config.json:

{
  "mcpServers": {
    "langflow-doc-qa-server": {
      "command": "node",
      "args": [
        "/path/to/doc-qa-server/build/index.js"
      ],
      "env": {
        "API_ENDPOINT": "http://127.0.0.1:7860/api/v1/run/480ec7b3-29d2-4caa-b03b-e74118f35fac"
      }
    }
  }
}
Source README

Langflow-DOC-QA-SERVER


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Langflow Document Q&A Server MCP server

A Model Context Protocol server for document Q&A powered by Langflow

This is a TypeScript-based MCP server that implements a document Q&A system. It demonstrates core MCP concepts by providing a simple interface to query documents through a Langflow backend.

Prerequisites

1. Create Langflow Document Q&A Flow

  1. Open Langflow and create a new flow from the "Document Q&A" template
  2. Configure your flow with necessary components (ChatInput, File Upload, LLM, etc.)
  3. Save your flow

image

2. Get Flow API Endpoint

  1. Click the "API" button in the top right corner of Langflow
  2. Copy the API endpoint URL from the cURL command
    Example: http://127.0.0.1:7860/api/v1/run/<flow-id>?stream=false
  3. Save this URL as it will be needed for the API_ENDPOINT configuration

image

Features

Tools

  • query_docs - Query the document Q&A system
    • Takes a query string as input
    • Returns responses from the Langflow backend

Development

Install dependencies:

npm install

Build the server:

npm run build

For development with auto-rebuild:

npm run watch

Installation

To use with Claude Desktop, add the server config:

On MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "langflow-doc-qa-server": {
      "command": "node",
      "args": [
        "/path/to/doc-qa-server/build/index.js"
      ],
      "env": {
        "API_ENDPOINT": "http://127.0.0.1:7860/api/v1/run/480ec7b3-29d2-4caa-b03b-e74118f35fac"
      }
    }
  }
}

image

Installing via Smithery

To install Document Q&A Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @GongRzhe/Langflow-DOC-QA-SERVER --client claude

Environment Variables

The server supports the following environment variables for configuration:

  • API_ENDPOINT: The endpoint URL for the Langflow API service. Defaults to http://127.0.0.1:7860/api/v1/run/480ec7b3-29d2-4caa-b03b-e74118f35fac if not specified.

Debugging

Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector, which is available as a package script:

npm run inspector

The Inspector will provide a URL to access debugging tools in your browser.

📜 License

This project is licensed under the MIT License.

FAQ

Common questions

Discussion

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