I craft unique cereal names, stories, and ridiculously cute Cereal Baby images.

Langflow-doc-q-server
Un servidor de protocolo de contexto de modelo para preguntas y respuestas de documentos propulsados por Langflow. Demuestra conceptos Core MCP al proporcionar una interfaz simple para consultar documentos a través de un backend de Langflow.
1
Github Watches
3
Github Forks
5
Github Stars
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_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:
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"
}
}
}
}
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-e74118f35fac
if 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.
相关推荐
Evaluator for marketplace product descriptions, checks for relevancy and keyword stuffing.
I find academic articles and books for research and literature reviews.
Confidential guide on numerology and astrology, based of GG33 Public information
Emulating Dr. Jordan B. Peterson's style in providing life advice and insights.
Your go-to expert in the Rust ecosystem, specializing in precise code interpretation, up-to-date crate version checking, and in-depth source code analysis. I offer accurate, context-aware insights for all your Rust programming questions.
Advanced software engineer GPT that excels through nailing the basics.
Converts Figma frames into front-end code for various mobile frameworks.
Descubra la colección más completa y actualizada de servidores MCP en el mercado. Este repositorio sirve como un centro centralizado, que ofrece un extenso catálogo de servidores MCP de código abierto y propietarios, completos con características, enlaces de documentación y colaboradores.
Manipulación basada en Micrypthon I2C del expansor GPIO de la serie MCP, derivada de AdaFruit_MCP230xx
La aplicación AI de escritorio todo en uno y Docker con trapo incorporado, agentes de IA, creador de agentes sin código, compatibilidad de MCP y más.
Espejo dehttps: //github.com/agentience/practices_mcp_server
Una puerta de enlace de API unificada para integrar múltiples API de explorador de blockchain similar a Esterscan con soporte de protocolo de contexto modelo (MCP) para asistentes de IA.
Reviews

user_1fw6EPAx
Langflow-DOC-QA-SERVER by GongRzhe is an outstanding tool for document-based question answering. Its intuitive interface and robust functionality make it easy to extract precise information from any text. Highly recommend it for professionals and academics looking for a reliable QA solution! Check it out at https://github.com/GongRzhe/Langflow-DOC-QA-SERVER.