What is Langflow Document Q&A

Langflow-DOC-QA-SERVER is a Model Context Protocol (MCP) server designed for document Question and Answer (Q&A) capabilities using Langflow. It provides an interface to query documents through a backend system powered by Langflow, implementing essential MCP concepts in a TypeScript environment.

Use cases

This server is ideal for applications that require automated document Q&A functionalities, such as customer support systems, educational tools, and research environments where users need quick access to information contained within documents or files.

How to use

To utilize the server, first create a document Q&A flow using the Langflow platform and obtain the API endpoint. Install the server dependencies, configure the server settings with the API endpoint, and then run the server. Integrations can be made with applications like Claude Desktop by adding the server configuration to the appropriate settings file.

Key features

The key features include the ability to query documents via the query_docs tool, which accepts a query string and retrieves responses from the Langflow backend. It also supports easy installation via Smithery, development capabilities with auto-rebuild, and debugging tools via the MCP Inspector.

Where to use

Langflow-DOC-QA-SERVER can be deployed in various environments including desktop applications like Claude Desktop, web applications, and as part of larger systems requiring document processing capabilities. Its flexibility makes it suitable for you to incorporate document-based queries in a range of software solutions.

Langflow-DOC-QA-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

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

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"
      }
    }
  }
}

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.