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Glama
dylantirandaz

Tailscale Compute MCP

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
TAILSCALE_COMPUTE_HOSTYesSSH user and direct Tailscale IP address or full MagicDNS name.
TAILSCALE_COMPUTE_LOCAL_ROOTNoAbsolute local project path. Defaults to MCP process directory.MCP process directory
TAILSCALE_COMPUTE_REMOTE_ROOTNoManaged remote workspace root..cache/tailscale-compute-mcp
TAILSCALE_COMPUTE_REMOTE_SHELLNoRemote shell: auto, /bin/sh, /bin/bash, or /bin/zsh.auto
TAILSCALE_COMPUTE_CONNECT_TIMEOUT_SECONDSNoSSH connection timeout from 1 through 60 seconds.10

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": true
}

Tools

Functions exposed to the LLM to take actions

NameDescription
compute_statusA

Check the configured Tailscale compute node and report its operating system, hardware, remote shell, and accelerator inventory. Use this before the first remote run or after a connection failure.

compute_runA

Sync the local project and run one non-interactive command on the configured Tailscale compute node. Use it for builds, tests, benchmarks, and other costly work. Keep file edits local. The command has the full permissions of the remote SSH user.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A4.4/5.0

Scored across 2 tools

Disambiguation5/5

compute_status and compute_run are clearly distinct: one inspects the remote node's configuration and health, while the other executes a command. There is no overlap or ambiguity between the two tools.

Naming Consistency5/5

Both tools follow the same compute_ prefix with a concise action suffix (status, run), creating a consistent and predictable naming pattern.

Tool Count4/5

With only two tools, the server is under the typical 3-15 range, but the scope is intentionally narrow—checking status and running commands on a configured remote node. Each tool is essential and earns its place.

Completeness5/5

The server covers the core workflow: verify connectivity/state with compute_status and perform remote work with compute_run, which includes automatic project syncing. No obvious gaps exist for its stated purpose.

Maintenance

ActivitySlowing
ResponsivenessNo issues