Langflow Document QA
FreeNot checkedConnects Claude Desktop to a Langflow-powered document question-answering system through a query_docs tool that processes document-based questions using a Mistr
About
Connects Claude Desktop to a Langflow-powered document question-answering system through a query_docs tool that processes document-based questions using a Mistral model.
README
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.
Installing Langflow Document QA
This server has no published package — it is built from source. Open the repository and follow its README.
▸ github.com/gongrzhe/langflow-doc-qa-serverFAQ
Is Langflow Document QA MCP free?
Yes, Langflow Document QA MCP is free — one-click install via Unyly at no cost.
Does Langflow Document QA need an API key?
No, Langflow Document QA runs without API keys or environment variables.
Is Langflow Document QA hosted or self-hosted?
Self-hosted: the server runs locally on your machine via the install command above.
How do I install Langflow Document QA in Claude Desktop, Claude Code or Cursor?
Open Langflow Document QA on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
Related MCPs
Fetch
Web content fetching and conversion for efficient LLM usage.
AWS KB Retrieval
Retrieval from AWS Knowledge Base using Bedrock Agent Runtime.
by modelcontextprotocolSpring AI MCP Server
Provides auto-configuration for setting up an MCP server in Spring Boot applications.
llm-analysis-assistant
A very streamlined mcp client that supports calling and monitoring stdio/sse/streamableHttp, and can also view request responses through the /logs page. It also
by xuzexin-hzCompare Langflow Document QA with
Not sure what to pick?
Find your stack in 60 seconds
Author?
Embed badge for your README
Browse similar
All ai MCPs
