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Canary

by mindstoneversion 0.0.4i★ –iRuns on your computer
Registry nameio.github.mindstone/mcp-server-canary

Install

Overview

Description from the maker (original English)

Mindstone-internal release-pipeline test connector; not for use. Single ping tool; no auth.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

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": {
    "canary": {
      "command": "npx",
      "args": [
        "-y",
        "@mindstone/mcp-server-canary"
      ]
    }
  }
}

Run this in your terminal

claude mcp add canary -- npx -y @mindstone/mcp-server-canary

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "canary": {
      "command": "npx",
      "args": [
        "-y",
        "@mindstone/mcp-server-canary"
      ]
    }
  }
}

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.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "canary": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@mindstone/mcp-server-canary"
      ]
    }
  }
}

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.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

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

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account mindstone, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32686 servers in this category
  • Published to the registry more recently than 12% of the other 32686 servers in this category
  • Basic checks equal to or better than 100% of the other 32686 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Canary safe?

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.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

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).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.0.4) reached the registry 5 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Microsoft Exchange Online MCP

Alternatives

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

Spec Driven Development

by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
Install

Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated 2 days ago
Install

Exchange Online admin for MSPs: forwarding audits, EWS posture and offboarding, no PowerShell

Runs on your computerUpdated today
Install

README from the maker

Open the README

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.

@mindstone/mcp-server-canary

Mindstone's internal release-pipeline test connector — not for use. It exists only to validate the rebel-oss release pipeline end-to-end. Single ping tool; no external dependencies, no auth, no bridge.

One-click install

No required environment variables — the install completes without prompts.

Manual config for Claude Desktop / Claude Code / Goose / Continue.dev (Canary)

{

"mcpServers": { "Canary": { "command": "npx", "args": [ "-y", "@mindstone/mcp-server-canary" ], "env": {} } } }

Why this exists

Releasing a real connector for the first time through a brand-new pipeline (Trusted Publishing, GitHub Actions, mcp-publisher, registry sync, host-app catalog) couples two unknowns: the pipeline correctness AND the connector correctness. The canary decouples them — it exercises every step of the pipeline with a tool whose only behaviour is ping → pong v3: .

Once the pipeline has proven itself stable on the canary, real connectors can adopt the same path without piggy-backing on infrastructure debugging.

See docs/plans/260525_oss_release_automation.md (Mindstone-internal) for the full design.

Tools

ping

Echo a message back wrapped as pong v3: .

FieldTypeRequiredDescription
messagestringyesA short message to echo back. 1-200 chars.

Example:

{

"tool": "ping", "arguments": { "message": "hello" } }

Response:

pong v3: hello

Use locally

npx -y @mindstone/mcp-server-canary

This starts the server on stdio. Most MCP hosts will spawn this for you when you add @mindstone/mcp-server-canary as a stdio MCP server.

Status

Pre-1.0 — this is the canary. Versions are stamped 0.0.x deliberately. Do not depend on this connector for any real workflow; its only purpose is to exercise the release machinery.

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