Integrates Dify's AI application development platform with MCP-compatible tools and services, enabling seamless extension of Dify applications while maintaining MCP server compatibility.
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A Model Context Protocol (MCP) server that exposes Dify workflows as tools for AI systems, enabling dynamic tool discovery and execution across multiple Dify AI applications.
Aggregates multiple MCP servers into a single unified interface, reducing system resource usage and simplifying configuration management with dynamic reloading and tag-based filtering capabilities. Highly relevant as a tool for managing and orchestrating MCP servers.
A comprehensive MCP server offering unified AI search across platforms (GitLab, Jira, Confluence, YouTube), a built-in RAG pipeline, and real-time collaboration API—ideal for enterprise AI development and cross-platform integration.
A Dify endpoint plugin that transforms a Dify application into a Model Control Protocol (MCP) server, allowing tools like Cursor to connect to and utilize custom Dify workflows. Directly focused on MCP server functionality.
Ectors is an actor-based MCP (Model Context Protocol) server that manages multiple routers with unique IDs. It supports various transport protocols for modular and composable MCP service delivery, making it a flexible solution for building and scaling MCP server infrastructures.
Foxy Contexts enables declarative MCP server development in Golang, with built-in functional testing to ensure reliable Model Context Protocol implementation.
Integrates Dify's AI application development platform with MCP-compatible tools and services, enabling seamless extension of Dify applications while maintaining MCP server compatibility.
No pricing information is provided.
Author: yevanchen Version: 0.0.1