What is Langflow Doc Qa Server

Langflow-DOC-QA-SERVER is a Model Context Protocol server designed for document question and answer (Q&A) systems, powered by Langflow. It provides a straightforward interface to query documents through a Langflow backend, demonstrating core MCP concepts.

Use cases

Use cases for Langflow-DOC-QA-SERVER include creating interactive educational tools that answer student queries, developing customer support chatbots that provide information from product manuals, and enabling researchers to quickly find answers in extensive academic papers.

How to use

To use Langflow-DOC-QA-SERVER, first create a Document Q&A flow in Langflow, configure it with necessary components, and save it. Then, obtain the API endpoint URL from Langflow and configure it in the server settings. Finally, run the server and use the query_docs tool to interact with the document Q&A system.

Key features

Key features of Langflow-DOC-QA-SERVER include the ability to query documents using a simple interface, integration with Langflow for backend processing, and support for environment variable configuration to customize the API endpoint.

Where to use

Langflow-DOC-QA-SERVER can be utilized in various fields such as education for automated Q&A systems, customer support for document inquiries, and research for accessing information from large document repositories.

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.