Why this server?
This server installs other MCP servers for you. Install it, and you can ask Claude to install MCP servers hosted in npm or PyPi for you. It helps manage other MCPs by installing them.
AsecurityAlicense-qualityThis server is a server that installs other MCP servers for you. Install it, and you can ask Claude to install MCP servers hosted in npm or PyPi for you. Requires npx and uv to be installed for node and Python servers respectively.Last updated22341,519MITWhy this server?
Enables communication with multiple unichat-based MCP servers simultaneously, allowing users to query different language models and combine their responses for more comprehensive results, effectively managing multiple LLMs.
AsecurityFlicense-qualityA server that enables communication with multiple unichat-based MCP servers simultaneously, allowing users to query different language models and combine their responses for more comprehensive results.Last updated21Why this server?
A plugin that allows Dify to connect to multiple MCP servers using HTTP with Server-Sent Events transport, supporting custom configurations. Useful for managing multiple MCP connections within Dify.
-securityFlicense-qualityA plugin that allows Dify to connect to multiple MCP (Model Control Protocol) servers using HTTP with Server-Sent Events transport, supporting custom configurations for URLs, headers, and timeouts.Last updated183Why this server?
A central hub that aggregates multiple MCP resource servers into a single unified interface, enabling users to access tools and capabilities from multiple backend servers through one connection point. It manages access to other MCPs.
AsecurityAlicense-qualityA central hub that aggregates multiple MCP resource servers into a single unified interface, enabling users to access tools and capabilities from multiple backend servers through one connection point.Last updated27199MITWhy this server?
A middleware server that enables multiple isolated instances of the same MCP servers to coexist independently with unique namespaces and configurations, allowing management of multiple MCP instances.
-securityAlicense-qualityA middleware server that enables multiple isolated instances of the same MCP servers to coexist independently with unique namespaces and configurations.Last updated476MITWhy this server?
Exposes Dify applications (both Chatflow and Workflow) as MCP servers, allowing Claude and other MCP clients to directly interact with Dify apps through a standardized protocol. Dify manages many workflows, so exposing Dify as an MCP lets you manage many tools at once.
-securityFlicense-qualityExposes Dify applications (both Chatflow and Workflow) as MCP (Model Context Protocol) servers, allowing Claude and other MCP clients to directly interact with Dify apps through a standardized protocol.Last updated36Why this server?
An MCP (Model Context Protocol) server that integrates with the ArgoCD API, enabling AI assistants and large language models to manage ArgoCD applications and resources through natural language interactions. Manages deployments.
AsecurityAlicense-qualityAn MCP (Model Context Protocol) server that integrates with the ArgoCD API, enabling AI assistants and large language models to manage ArgoCD applications and resources through natural language interactions.Last updated1011MITWhy this server?
Enables external tool registration and execution through WebSocket-based communication, providing a unified interface for real-time tool management within SillyTavern, which could include other MCPs.
-securityFlicense-qualityEnables external tool registration and execution through WebSocket-based communication, providing a unified interface for real-time tool management within SillyTavern.Last updated23Why this server?
Facilitates interaction and context sharing between AI models using the standardized Model Context Protocol (MCP) with features like interoperability, scalability, security, and flexibility across diverse AI systems. Allows orchestration with other agents.
-security-license-qualityFacilitates interaction and context sharing between AI models using the standardized Model Context Protocol (MCP) with features like interoperability, scalability, security, and flexibility across diverse AI systems.Last updated1