Langflow-DOC-QA-SERVER: Sleek Interface & Effortless Document Q&A

Langflow-DOC-QA-SERVER: Simplify document Q&A with MCP, offering a sleek interface to query docs effortlessly through Langflow’s robust backend.

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About Langflow-DOC-QA-SERVER

What is Langflow-DOC-QA-SERVER: Sleek Interface & Effortless Document Q&A?

Langflow-DOC-QA-SERVER is a streamlined TypeScript-powered Model Context Protocol (MCP) server designed to simplify document-centric question-answering workflows. Its minimalist interface and intuitive architecture allow developers to rapidly deploy AI-driven document analysis systems, leveraging Langflow's backend capabilities without sacrificing customization. The tool strikes a rare balance between technical robustness and approachable usability.

How to Use Langflow-DOC-QA-SERVER: A Practical Workflow

Flow Configuration: Begin with Langflow's pre-built Document Q&A template, configuring components like file uploaders and LLM integrations through a visually guided interface.
API Integration: Extract the flow's dedicated API endpoint via Langflow's dashboard, which becomes the cornerstone for server communication.
Server Deployment: Configure environment variables and launch the server using npm commands, with optional watch mode for iterative development.

Langflow-DOC-QA-SERVER Features

Key Features of Langflow-DOC-QA-SERVER

This solution excels through:

Context-Aware Querying: The query_docs tool delivers precise document insights using natural language inputs.
Adaptive Configuration: Environment variables like API_ENDPOINT enable seamless adaptation to evolving infrastructure needs.
Debugging Ecosystem: The MCP Inspector provides browser-based diagnostic tools to unravel stdio communication complexities.

Use Cases for Langflow-DOC-QA-SERVER

Prove particularly effective in scenarios requiring:

Legal document analysis where precise clause identification is critical
Customer support systems needing instant policy lookup
Market research platforms aggregating competitive intelligence from unstructured reports

Langflow-DOC-QA-SERVER FAQ

Frequently Asked Questions

Does it integrate with Claude Desktop? Yes, through its MCP compatibility and endpoint-based architecture.
How does debugging work? The MCP Inspector visualizes data flows, demystifying what raw stdio logs often obscure.
Can I customize query parameters? Absolutely, via the server's modular configuration system and API endpoint flexibility.
What if my API endpoint isn't working? Verify flow configuration integrity and ensure CORS policies align with deployment environment constraints.

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"
      }
    }
  }
}

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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