Dify向けに構築された31個のMCPを発見。
Develop LLM applications quickly using an open-source platform that combines AI workflow, RAG pipeline, agent capabilities, model management, and observability features.
Provides a collection of official plugins for the Dify platform, including models, tools, agent strategies, and extensions.
Manages the lifecycle of plugins for the Dify API server, supporting local, debug, and serverless runtimes.
Enables the invocation of Dify workflows by calling tools using the Model Context Protocol (MCP).
Simplifies the process of integrating Anthropic's Model Context Protocol (MCP) into Claude Desktop and Cursor for enhanced functionality.
Connects Dify to external MCP servers, enabling LLMs to use their tools and resources within Dify workflows.
Enables Dify 1.0 to utilize MCP SSE for discovering and calling tools through agent strategies.
Transforms a Dify application into an MCP server endpoint.
Enables query and invocation of Dify workflows within an MCP server environment.
Integrates the Dify AI API to serve as a Model Context Protocol server.
Exposes Dify workflows as a Model Context Protocol (MCP) server for integration with AI clients.
Connects to the Dify API to send queries to chat applications and retrieve results.
Create and manage advanced chatbot applications through a web interface and integrate with backend Model Context Protocol (MCP) servers.
Provides resources and tutorials related to Dify AI and general Python development.
Converts Dify tools' APIs to be compatible with the MCP (Multi-Cloud Platform) API standard.
Exposes Dify workflows as tools via a Model Context Protocol (MCP) server.
Integrates MCP tool calls and common function calls into a Dify agent strategy.
Retrieves information from a Dify knowledge base.
Enables seamless integration between Dify Workflow and large language models via the Model Context Protocol (MCP).
Exposes Dify workflows as tools by implementing a Model Context Protocol (MCP) server.
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