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Control mihomo proxies via MCP for switching, latency tests, and monitoring.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mihomo-mcp" yet — see the docs or source repo.
Using mihomo-mcp, check latency for the current proxy group and switch to the available node with the lowest latency.
Returns latency results for nodes and confirms the proxy switch.
Use mihomo-mcp to refresh the mihomo subscription and tell me whether it succeeded.
Returns the subscription refresh result and success or failure status.
Using mihomo-mcp, show the current operating mode and active connection overview, then summarize them briefly.
Outputs the current mode, connection status, or a connection summary.
Developers or DevOps users can use an MCP-enabled AI client to switch mihomo proxy nodes directly, reducing manual panel operations. It is especially useful when rapidly switching between multiple nodes.
When proxy access becomes slow, users can ask the AI to test node latency and help choose a better route. This makes it easier to determine whether the issue is with a node or the current selection.
If you need to inspect the current operating mode, subscription refresh status, or connection overview, this tool exposes mihomo's RESTful API capabilities to AI. It fits automated operations and personal network management workflows.
It bridges the mihomo (Clash Meta) RESTful API to the Model Context Protocol, allowing AI clients to switch proxies, test latency, refresh subscriptions, set modes, and monitor connections.
Based on the name and description, you need a mihomo (Clash Meta) environment and an AI client that can use MCP tools. For exact installation and configuration requirements, see the source repository.
Its key difference is that it does not primarily act as a standalone panel; instead, it exposes mihomo management capabilities through MCP for direct AI use. The focus is AI-driven control and automation.
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