Langflow Document QA
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.
Details
- Author
- gongrzhe
- Repository
- GongRzhe/Langflow-DOC-QA-SERVER
- GitHub stars
- 9
- License
- MIT License
- Categories
- Productivity, Design, Workplace, File Management, AI, Search, Infrastructure, Frontend, Knowledge Base, Other
- Tags
- #integration, #document
Jump to
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Langflow Document QACommand (node, npx, python, etc.)nodeArguments-
Argument 1
/path/to/doc-qa-server/build/index.js
Environment-
API_ENDPOINT
http://127.0.0.1:7860/api/v1/run/480ec7b3-29d2-4caa-b03b-e74118f35fac
Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
-
Argument 1
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
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"
}
}
}
}
To install Document Q&A Server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @GongRzhe/Langflow-DOC-QA-SERVER --client claude
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.
query_docs
Query the document Q&A system. Takes a query string as input and returns responses from the Langflow backend.
- query_docs - Query the document Q&A system
- Takes a query string as input
- Returns responses from the Langflow backend
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"langflow document qa": {
"env": {
"API_ENDPOINT": "http://127.0.0.1:7860/api/v1/run/480ec7b3-29d2-4caa-b03b-e74118f35fac"
},
"args": [
"/path/to/doc-qa-server/build/index.js"
],
"command": "node"
}
}
}Linux
{
"env": {
"API_ENDPOINT": "http://127.0.0.1:7860/api/v1/run/480ec7b3-29d2-4caa-b03b-e74118f35fac"
},
"args": [
"/path/to/doc-qa-server/build/index.js"
],
"command": "node"
}Macos
{
"env": {
"API_ENDPOINT": "http://127.0.0.1:7860/api/v1/run/480ec7b3-29d2-4caa-b03b-e74118f35fac"
},
"args": [
"/path/to/doc-qa-server/build/index.js"
],
"command": "node"
}Windows
{
"env": {
"API_ENDPOINT": "http://127.0.0.1:7860/api/v1/run/480ec7b3-29d2-4caa-b03b-e74118f35fac"
},
"args": [
"/path/to/doc-qa-server/build/index.js"
],
"command": "node"
}A document question-and-answer server powered by Langflow.
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.
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 - 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 theAPI_ENDPOINTconfiguration
- query_docs- Query the document Q&A system
- Takes a query string as input
- Returns responses from the Langflow backend
To use with Claude Desktop, add the server config:
On MacOS:~/Library/Application Support/Claude/claude_desktop_config.jsonOn 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" } } } }
To install Document Q&A Server for Claude Desktop automatically viaSmithery:
npx -y @smithery/cli install @GongRzhe/Langflow-DOC-QA-SERVER --client claude
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.
Since MCP servers communicate over stdio, debugging can be challenging. We recommend using theMCP Inspector, which is available as a package script:
The Inspector will provide a URL to access debugging tools in your browser.
This project is licensed under the MIT License.
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