MCP Server for Dify AI
servidor mcp-dify
Servidor de Protocolo de Contexto de Modelo para Dify AI. Este servidor permite a los LLM interactuar con las funciones de finalización de chat de Dify AI mediante un protocolo estandarizado.
Características
Integración con la API de finalización de chat de Dify AI
Herramienta de recomendación de restaurantes (meshi-doko)
Soporte para contexto de conversación
Soporte de respuesta en streaming
Implementación de TypeScript
Related MCP server: Dify MCP Server
Instalación
Usando Docker
# Build the Docker image
make docker
# Run with Docker
docker run -i --rm mcp/dify https://your-dify-api-endpoint your-dify-api-keyUso
Con Claude Desktop
Agregue la siguiente configuración a su claude_desktop_config.json :
{
"mcpServers": {
"dify": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-dify",
"https://your-dify-api-endpoint",
"your-dify-api-key"
]
}
}
}Reemplace your-dify-api-endpoint y your-dify-api-key con sus credenciales de API de Dify reales.
Herramientas
malla-doko
Herramienta de recomendación de restaurantes que interactúa con Dify AI:
Parámetros:
LOCATION(cadena): Ubicación del restauranteBUDGET(cadena): Restricciones presupuestariasquery(cadena): Consulta para enviar a Dify AIconversation_id(cadena, opcional): para mantener el contexto del chat
Desarrollo
# Initial setup
make setup
# Build the project
make build
# Format code
make format
# Run linter
make lintLicencia
Este proyecto se publica bajo la licencia MIT .
Seguridad
Este servidor interactúa con Dify AI usando la clave API que proporcionaste. Asegúrate de:
Mantenga sus credenciales de API seguras
Utilice HTTPS para el punto final de la API
Nunca envíe claves API al control de versiones
Contribuyendo
¡Agradecemos sus contribuciones! No dude en enviar una solicitud de incorporación de cambios.
This server cannot be installed
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Related MCP Connectors
Real-time web search, reasoning, and research through Perplexity's API
Memory for deep conversational context across any platform
Scraps Kitchen gives any AI agent a persistent, household-aware kitchen memory. Unlike generic chatbot recall, Scraps maintains structured cooking data: what's in your fridge (with freshness tracking), who you cook for (with allergens, dietary restrictions, and preferences), your recipe collection (with cook notes and per-diner ratings), your shopping list, and your kitchen equipment. 27 tools across 6 domains let agents read kitchen context, suggest meals that respect dietary safety, update the pantry after cooking, and build a history of what works for your household. Every interaction makes the data richer. Cooking history, preference signals, kitchen awareness = better suggestions next time. All tools work via oAuth and a free scraps.kitchen account.
Carbon Voice MCP serves as a bridge that connects AI assistants like ChatGPT, Claude, and Cursor to a user's Carbon Voice account, turning voice messages and conversations into a private, on-demand knowledge base. It provides 28 specialized tools for comprehensive voice messaging management, including creating and sending messages, accessing conversation history with instant transcription, running AI actions (summarization, TLDR generation, meeting notes), and managing workspace collaboration through folders, contacts, and team communications.
Related MCP Servers
- FlicenseNot gradedqualityFmaintenanceServer for using Dify. It achieves the invocation of the Dify workflow by calling the tools of MCP.280
- FlicenseNot gradedqualityDmaintenanceEnables the conversion of Dify applications into Model Context Protocol tools, supporting streaming responses and configured via YAML.5
- FlicenseNot gradedqualityDmaintenanceA Dify endpoint plugin that transforms a Dify application into a Model Control Protocol server, allowing tools like Cursor to connect to and utilize your custom Dify workflows.67
- AlicenseNot gradedqualityDmaintenanceEnables seamless integration between Claude AI and Dify Workflow through the Model Context Protocol, allowing Claude to dynamically access and execute Dify Workflow operations via natural language.338ISC
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/yuru-sha/mcp-server-dify'
If you have feedback or need assistance with the MCP directory API, please join our Discord server