Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Tailscale MCP server for managing your tailnet from AI assistants
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
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Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"tailscale": {
"command": "npx",
"args": [
"-y",
"@yawlabs/tailscale-mcp"
]
}
}
}Run this in your terminal
claude mcp add tailscale -- npx -y @yawlabs/tailscale-mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"tailscale": {
"command": "npx",
"args": [
"-y",
"@yawlabs/tailscale-mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"tailscale": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@yawlabs/tailscale-mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account YawLabs, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.23.1) reached the registry 8 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, Hunter Killer
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
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.
Liquidation walls, snapshot age, evidence labels and a public record. Managed OAuth.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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 cOnly the beginning is shown; read the rest in the repo