Langflow-DOC-QA-SERVER

By GongRzhe GitHub

A Model Context Protocol server for document Q&A powered by Langflow . It demonstrates core MCP concepts by providing a simple interface to query documents through a Langflow backend.

Overview

what is Langflow-DOC-QA-SERVER?

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

how to use Langflow-DOC-QA-SERVER?

To use the server, create a Langflow Document Q&A flow, configure it with necessary components, and obtain the API endpoint for querying. You can then send queries to the server using the provided API.

key features of Langflow-DOC-QA-SERVER?

Implements a document Q&A system using MCP concepts.
Provides a query_docs tool to query documents.
Supports configuration through environment variables.
Easy integration with Claude Desktop.

use cases of Langflow-DOC-QA-SERVER?

Answering questions based on specific documents.
Integrating document Q&A capabilities into applications.
Assisting users in retrieving information from large document sets.

FAQ from Langflow-DOC-QA-SERVER?

What is the purpose of this server?

It serves as a backend for querying documents using a structured protocol.

How do I configure the server?

You can configure it using environment variables and by setting up the API endpoint.

Is there any support for debugging?

Yes, you can use the MCP Inspector for debugging purposes.

Content

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

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

2. Get Flow API Endpoint

Click the "API" button in the top right corner of Langflow
Copy the API endpoint URL from the cURL command Example: http://127.0.0.1:7860/api/v1/run/<flow-id>?stream=false
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.

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