Langflow Document Q&A Server
A document question-and-answer server powered by Langflow.
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_ENDPOINTconfiguration
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 tohttp://127.0.0.1:7860/api/v1/run/480ec7b3-29d2-4caa-b03b-e74118f35facif 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.
Related Servers
302AI Web Search
A web search server powered by the 302.AI API.
Hermes Search
Provides full-text and semantic search over structured and unstructured data using Azure Cognitive Search.
Needle
Production-ready RAG out of the box to search and retrieve data from your own documents.
Stack Overflow
Access Stack Overflow's trusted and verified technical questions and answers.
Spryker Search Tool
Search Spryker packages, documentation, and code within Spryker GitHub repositories using natural language.
JinaAI
Light JINA AI MCP
SelfMemory
Let your memories live forever by passing your knowledge to the next generation with SelfMemory.
Google Research
Perform advanced web research using Google Search, with intelligent content extraction and multi-source synthesis.
Agentset
RAG MCP for your Agentset data.
Korea Tourism API MCP Server
Search for South Korean tourism information, including festivals, temples, and restaurants, using the official Korea Tourism Organization API.