remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

Integrations

Enables document question-answering capabilities by connecting to a Langflow backend, allowing users to upload documents and query them using natural language through a Langflow Document Q&A Flow.

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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security – no known vulnerabilities

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license - permissive license

A

quality - confirmed to work

Enables querying documents through a Langflow backend using natural language questions, providing an interface to interact with Langflow document Q&A flows.

Langflow Document Q&A Server