Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Beschreibung vom Entwickler (englisches Original)
Tailscale MCP server for managing your tailnet from AI assistants
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
Du brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Öffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein
{
"mcpServers": {
"tailscale": {
"command": "npx",
"args": [
"-y",
"@yawlabs/tailscale-mcp"
]
}
}
}Führe das in deinem Terminal aus
claude mcp add tailscale -- npx -y @yawlabs/tailscale-mcpIn .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"tailscale": {
"command": "npx",
"args": [
"-y",
"@yawlabs/tailscale-mcp"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"tailscale": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@yawlabs/tailscale-mcp"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
Dieser Server läuft auf deinem Computer, und ChatGPT kann sich nur mit Servern im Internet verbinden. Wähle eine andere App.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Läuft auf deinem Computer; die Tool-Liste erscheint nach der Installation in deiner KI-App.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 7. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto YawLabs bestätigt, dem das Repo gehört
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieser Server läuft auf deinem Computer; es gibt keinen Endpunkt im Internet
Läuft auf deinem Computer und nutzt stattdessen lokale Einstellungen
Läuft auf deinem Computer; Tool-Listen können wir nur von Endpunkten im Internet lesen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 1 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.
Er läuft auf deinem Computer. Deine KI-App startet ihn bei Bedarf, und die Daten laufen nicht über die Server des Entwicklers (außer der Server ruft selbst einen Onlinedienst auf).
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (0.23.1) kam vor 7 Tagen in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Node.js auf deinem Computer.
In derselben Kategorie: Spec Driven Development, Remote Desktop Commander, 御府和田玉 在售作品查询
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Live in-stock Hetian jade from Yufu, Shanghai: prices, monthly price guide, book a viewing.
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
One click adds this to your local Yaw MCP config so it's available in every Yaw Terminal session. Or install manually below.
Ask your agent questions about your tailnet and have it act on the answers. 97 admin-API tools + 6 optional local-CLI diagnostics + 1 always-on catalog tool + 4 resources spanning the Tailscale v2 API — devices, ACLs, DNS, keys and trust credentials, users, invites, webhooks, log streaming, posture, services, and organization tailnets. Backed by 1900+ unit tests and an opt-in live-tailnet integration suite.
Built and maintained by Yaw Labs.
You could curl the Tailscale API. The point isn't replacing curl — it's letting an agent compose multi-endpoint workflows in one turn without writing a script:
lastSeen (online devices carry none), filters by keyExpiryDisabled, returns a table. Three endpoints, one question.tailscale_create_key with keyType=client, returns the credentials once (save them immediately).A curl can do each step. The agent composes them. That's where the lift is, and that's what the tool surface is designed for — every read endpoint is first-class so the agent can synthesize, and every write endpoint is tagged destructiveHint or idempotentHint so your MCP client can gate mutations the way you configured it.
If all you need is one endpoint in a CI job, use curl — we even have a CLI subcommand for the common ACL-from-git case. The MCP is for the interactive, exploratory, "I don't know what I need yet" work.
tailscale CLI?Reasonable question. Both have their place. Where this MCP is better:
tailscale CLI is scoped to the node it runs on. Admin concerns — ACLs, users, invites, webhooks, log streaming, posture integrations, auth keys, OAuth clients, and federated identities — live in the v2 HTTP API. You'd be shelling out to curl anyway.tailscale status --json | jq pipelines that break when the schema evolves.npx — nobody rewrites a skill's instructions when Tailscale adds an endpoint.readOnlyHint / destructiveHint / idempotentHint so clients can skip confirmation on reads and require it on mutations. A skill that shells out to the CLI can't express that.RUN_INTEGRATION_TESTS=1 + a tailnet API key) for shape-drift detection. Most skills are short markdown prompts without their own test layer — if the vendor changes output format, nothing catches it for you.If you already have a skill that covers your 10% of Tailscale workflows, great — keep it. The MCP is for the other 90%.
What about Tailscale's own MCP endpoints and skill? As of 2026-09-19 they solve different problems, and nothing here duplicates them. Tailscale's official MCP tools are two alpha built-in connectors inside Aperture: *Tailnet*, whose Tailnet_provision_node returns a single-use auth key so an agent can join one new node after a person approves it, and *Tailscale SSH*, whose TailnetSSH_list_machines and TailnetSSH_run_command discover SSH-enabled machines and run one command on one of them. They require Aperture. tailscale/tailscale-skill is an alpha, knowledge-only skill — reference material that teaches an agent to curl the v2 API, with no server of its own. Neither exposes the admin API as typed tools, so the overlap with this server is close to nil. Nor can Aperture front this one today: this server speaks stdio, and Aperture proxies only URL-addressable Streamable-HTTP or SSE servers. Both of those products are alpha, so treat the date on this paragraph as its expiry.
Fair critique from Reddit: a new repo claiming "actively maintained" with no visible tests is worth exactly zero trust. Here's what's actually verifiable:
node --test) covering every tool's input validation, API shape, and error handling. Run npm test to see them pass locally.release.sh: lint + test + bump + tag + push + npm publish + MCP Registry publish, all from the workstation. No CI workflow to babysit.fixtures/live/ is empty on purpose), and no claim here rests on an observation against a live tailnet.Issues and PRs are triaged. File one if something is off — github.com/YawLabs/tailscale-mcp/issues.
1. Set your API key
Get an API key from Tailscale Admin Console > Settings > Keys and set it where your MCP client will see it. The .mcp.json env block in step 2 works identically on every platform and is the option to prefer; to export it from a shell profile instead (~/.bashrc, ~/.zshrc, ~/.config/fish/config.fish):
macOS / Linux / WSL (bash, zsh):
export TAILSCALE_API_KEY="tskey-api-..."
fish:
set -Ux TAILSCALE_API_KEY tskey-api-...
Windows (PowerShell 5.1 and 7) — [Environment]::SetEnvironmentVariable persists it for the user, where $env: alone lasts only for the session:
[Environment]::SetEnvironmentVariable('TAILSCALE_API_KEY', 'tskey-api-...', 'User')
2. Create `.mcp.json` in your project root
macOS / Linux / WSL:
{
"mcpServers": { "tailscale": { "command": "npx", "args": ["-y", "@yawlabs/tailscale-mcp@latest"] } } }
Windows:
{
"mcpServers": { "tailscale": { "command": "cmd", "args": ["/c", "npx", "-y", "@yawlabs/tailscale-mcp@latest"] } } }
Why the extra step on Windows? On Windows,
npxis a.cmdfile, and Node 20+ refuses to spawn.cmdfiles directly. Wrapping withcmd /cis the standard workaround.
3. Restart and approve
Restart Claude Code (or your MCP client) and approve the Tailscale MCP server when prompted.
That's it. Now ask your agent:
"List my Tailscale devices that haven't been seen in the last 7 days"
"Summarize every ACL change in the audit log from yesterday"
"Draft an ACL rule that lets
tag:cireachtag:registryon port 5000 only"
97 tools is a lot. If you've already got a dozen MCP servers and your client is feeling heavy, trim what this one exposes. Three knobs, combinable:
The
envblocks below show only the variable under discussion. Your credentials come from the environment, as set in Quick start — keep them in your shell profile rather than in the client's JSON config, which is world-readable on most systems and easy to commit by accident.
TAILSCALE_PROFILE (preset, easiest){
"env": { "TAILSCALE_PROFILE": "core" } }
status, devices, audit. Observe the tailnet, read the audit log.acl, dns, keys, users. The day-to-day admin surface.Profile names are case-insensitive and ignore surrounding whitespace (Core selects core). The group names in TAILSCALE_TOOLS and TAILSCALE_WRITE_GROUPS are case-sensitive.
TAILSCALE_TOOLS (explicit group list){
"env": { "TAILSCALE_TOOLS": "devices,acl,dns,audit" } }
Comma-separated group names. Overrides TAILSCALE_PROFILE when both are set — use this when the presets aren't quite right.
Valid group names: status, devices, acl, dns, keys, users, tailnet, org-tailnets, webhooks, posture, audit, invites, services, log-streaming. The local-cli group is also available, but only when TAILSCALE_LOCAL_CLI=1 is set — see Local CLI integration.
TAILSCALE_READONLY (drop mutations){
"env": { "TAILSCALE_PROFILE": "core", "TAILSCALE_READONLY": "1" } }
Set to 1 or true to drop every tool without readOnlyHint: true. Stacks with TAILSCALE_PROFILE or TAILSCALE_TOOLS as an intersection — combine for maximum minimalism.
The server logs the active filter to stderr on startup:
@yawlabs/tailscale-mcp v0.22.0 ready (20 tools, profile=minimal, readonly)
When both TAILSCALE_PROFILE and TAILSCALE_TOOLS are set, TAILSCALE_TOOLS wins. The banner marks the profile as overridden so the precedence is obvious at a glance — no need to guess which filter actually applied:
@yawlabs/tailscale-mcp v0.22.0 ready (22 tools, profile=core (overridden by TAILSCALE_TOOLS), groups=devices,acl)
The "(overridden)" marker only fires for substantive profiles (minimal / core); profile=full is a no-op preset, so it's shown without the marker when TAILSCALE_TOOLS is also set.
If you don't set any filter, startup prints a tip pointing you at the profiles.
Everything above is stderr -- your MCP client's log. The model never sees it, so a withheld tool and a tool that was never built look identical from the agent's side. That is how an agent ends up working around a restriction instead of reporting it.
tailscale_tool_groups closes that gap. It is always registered, whatever the filters say, and answers the question in-band:
> "Why cNur der Anfang wird gezeigt; den Rest findest du im Repo