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Safely access the local Tailscale daemon for discovery, sharing, and latency insights.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "tailscale-mcp" yet — see the docs or source repo.
Use tailscale-mcp to retrieve the discoverable devices or nodes in the current tailnet, and organize them by name and available connection details.
A discovered list of tailnet devices, useful for understanding which nodes are currently reachable.
Generate an SSH configuration example for connecting to nodes in the current Tailscale environment.
An SSH config snippet or example that helps users quickly connect to tailnet machines.
Use tailscale-mcp to generate a latency matrix between current tailnet nodes and highlight higher-latency connections.
A latency matrix across nodes to help assess connectivity and network performance.
DevOps users can safely access the local Tailscale daemon to inspect tailnet discovery results and node latency, helping diagnose connectivity or performance issues.
Developers or DevOps engineers can generate SSH configuration for machines in the tailnet, reducing manual setup work.
When a local service needs to be shared through Serve or Funnel, this tool can support the related programmatic operations and management.
It is an MCP server for safe programmatic access to the local Tailscale daemon. Known capabilities include tailnet discovery, SSH config generation, port sharing via Serve/Funnel, and latency matrices.
Based on the description, it depends on a local Tailscale daemon. For installation steps, runtime details, or permission requirements, see the source repository.
The known difference is that it is built for the Tailscale environment and exposes programmatic access through MCP, with features like tailnet discovery and latency matrices. For deeper comparisons, see the source repository.
Enable AI agents to manage Tailscale devices, services, and connectivity diagnostics.
Run an identity-aware MCP server in Tailscale for personalized user-specific responses.
Manage your Tailscale tailnet, devices, and connections through AI assistants.
Manage SSH, Docker, and HTTP infrastructure targets centrally through MCP.
Expose local HTTP ports as public HTTPS URLs and manage tunnels securely.
Delegate coding and ops tasks to Claude Code on a remote Mac.