RAGFlow MCP
by oraichain
ragflow-mcp
MCP de RAGFlow simple. Solo útil hasta que el equipo de RAGFlow lance el servidor oficial de MCP.
Instalación
Ofrecemos dos métodos de instalación. Se recomienda el método 2 (con uv) para una instalación más rápida y una mejor gestión de dependencias.
Método 1: Uso de conda
Crear un nuevo entorno conda:
conda create -n ragflow_mcp python=3.12
conda activate ragflow_mcpClonar el repositorio:
git clone https://github.com/oraichain/ragflow-mcp.git
cd ragflow-mcpInstalar dependencias:
pip install -r requirements.txtMétodo 2: Uso de luz ultravioleta (recomendado)
Instalar uv (un instalador y solucionador rápido de paquetes de Python):
curl -LsSf https://astral.sh/uv/install.sh | shClonar el repositorio:
git clone https://github.com/oraichain/ragflow-mcp.git
cd ragflow-mcpCrea un nuevo entorno virtual y actívalo:
uv venv --python 3.12
source .venv/bin/activate # On Unix/macOS
# Or on Windows:
# .venv\Scripts\activateInstalar dependencias:
uv pip install -r pyproject.tomlEjecute MCP Server Inspector para depurar
Iniciar el servidor MCP
Inicie el inspector utilizando el siguiente comando:
# you can choose a different server
SERVER_PORT=9000 npx @modelcontextprotocol/inspectorThis server cannot be deployed
Maintenance
ActivityInactive
ResponsivenessNo issues
Related MCP Connectors
MCP server for AI dialogue using various LLM models via AceDataCloud
MCP server for OpenAI API (chat completions, image generation, embeddings) via AceDataCloud
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