About Langflow-DOC-QA-SERVER
Langflow-DOC-QA-SERVER is an MCP server published by GongRzhe in the Developer Tools category: 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.
The repository has 15 stars and 8 forks, with the last commit a year ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.
Install
git clone https://github.com/GongRzhe/Langflow-DOC-QA-SERVERThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
Tools (1)
query_docsQuery the document Q&A system
Parameters not published.
Ask AI
Ask AI about Langflow-DOC-QA-SERVER
Powered by Claude · Grounded in docs
Security checks
Static checks derived from the repository 7 days ago. Heuristics on the source, not an audit.
- ✓README presentThe repository ships documentation.
- ✓License declaredUsable under a stated license.
- !Tests presentNo tests found. Behaviour changes may go unnoticed between versions.
- ✓Dependencies pinnedA lockfile pins dependency versions.
- ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.
- !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.
README
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.
README fetched from the repository 7 days ago. The original is authoritative.