README.md•3.26 kB
# Langflow-DOC-QA-SERVER
[](https://smithery.ai/server/@GongRzhe/Langflow-DOC-QA-SERVER)
<a href="https://glama.ai/mcp/servers/@GongRzhe/Langflow-DOC-QA-SERVER">
<img width="380" height="200" src="https://glama.ai/mcp/servers/@GongRzhe/Langflow-DOC-QA-SERVER/badge" alt="Langflow Document Q&A Server MCP server" />
</a>
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
1. Open Langflow and create a new flow from the "Document Q&A" template
2. Configure your flow with necessary components (ChatInput, File Upload, LLM, etc.)
3. Save your flow
### 2. Get Flow API Endpoint
1. Click the "API" button in the top right corner of Langflow
2. Copy the API endpoint URL from the cURL command
Example: `http://127.0.0.1:7860/api/v1/run/<flow-id>?stream=false`
3. 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:
```bash
npm install
```
Build the server:
```bash
npm run build
```
For development with auto-rebuild:
```bash
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`
```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](https://smithery.ai/server/@GongRzhe/Langflow-DOC-QA-SERVER):
```bash
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](https://github.com/modelcontextprotocol/inspector), which is available as a package script:
```bash
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.