MCP 服务工具

What is MCP 服务工具?

MCP 服务工具 is a Model Context Protocol server that provides tool integrations for AI service APIs. It currently supports Hugging Face (text, image, speech, zero‑shot tasks) and Dify (conversational and text generation apps) services. It is aimed at developers who want to use MCP to access these AI models through a unified interface.

How to use MCP 服务工具?

Install dependencies with npm install, create a .env file with the required API keys (HUGGINGFACE_API_KEY, DIFY_API_KEY, DIFY_BASE_URL), then start the Dify MCP service using npm run start:dify. For Hugging Face, import and call the tool functions directly in TypeScript, providing the API key and model parameters.

Key features of MCP 服务工具

• Hugging Face: text generation, classification, QA, summarization, translation, fill‑mask
• Hugging Face: image classification, segmentation, image‑to‑text, zero‑shot image/text classification
• Hugging Face: automatic speech recognition
• Dify: chat with conversation history support
• Dify: text generation via completion endpoint
• Dify: conversation listing and renaming

Use cases of MCP 服务工具

• Build an MCP‑compliant chat interface that routes user messages to a Dify‑powered AI assistant.
• Perform on‑the‑fly text or image classification using Hugging Face models without managing separate endpoints.
• Integrate speech recognition into an MCP agent to transcribe audio blobs.
• Generate summaries or translations of long documents through MCP tool calls.
• Manage multiple Dify conversations (list, rename, fetch history) programmatically.