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Ratatosk MCP

by basphereversion 0.10.0i★ –iRuns on your computer
Registry nameio.github.basphere/ratatosk-mcp

Install

Overview

Description from the maker (original English)

CNCF release intelligence: typed changes from release notes; check_stack compares versions locally.

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: Docs, sheets & office work

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

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": {
    "ratatosk": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/basphere/ratatosk-mcp:0.10.0"
      ]
    }
  }
}

Run this in your terminal

claude mcp add ratatosk -- docker run -i --rm ghcr.io/basphere/ratatosk-mcp:0.10.0

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "ratatosk": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/basphere/ratatosk-mcp:0.10.0"
      ]
    }
  }
}

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": {
    "ratatosk": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/basphere/ratatosk-mcp:0.10.0"
      ]
    }
  }
}

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 8, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account basphere, 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 Docs, sheets & office worki

  • More stars than 0% of the other 3543 servers in this category
  • Published to the registry more recently than 60% of the other 3543 servers in this category
  • Basic checks equal to or better than 100% of the other 3543 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 Ratatosk MCP 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 (0.10.0) reached the registry 21 days ago.

Which apps can use it?

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

What can I use instead?

In the same category: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Agent-Native Google Calendar - manage events, sync, and public booking

Runs in the cloud★ 7,620MITUpdated 2 months ago
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Excel MCP Server

by haris-musa

Lets AI create and edit Excel files itself, including formulas, charts and PivotTables, without Excel installed.

Runs on your computer★ 4,276MITUpdated 7 days ago
Install

Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.

Runs on your computer★ 847MITUpdated 4 days ago
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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.

ratatosk-mcp

Ratatosk reads CNCF release notes every hour. Your agents get the changes.

English · 한국어 · 日本語


In Norse myth, Ratatoskr is the squirrel that carries messages up and down the world tree. This one carries release intelligence. ratatosk.io watches 76 CNCF projects and turns every release note into typed, entity-level changes: security fixes, breaking changes, removals, deprecations, changed defaults — each one classified by how you should act on it now. Routine lines are recorded too, but kept out of the way.

This repository is the MCP server that hands those changes to your agent as tools. MCP (Model Context Protocol) is the open standard AI agents use to call external tools; any MCP-capable client — Claude Code, Claude Desktop, kagent, your own SDK agent — can connect. No account, no API key.

Two ways to connect

Hosted — nothing to install. Register https://ratatosk.io/mcp as a remote MCP server in any client that supports remote connectors. The hosted endpoint allows each caller 60 tool calls a minute, counted per caller rather than pooled — for polling or CI workloads, self-host. With the Claude Code CLI:

claude mcp add --transport http ratatosk https://ratatosk.io/mcp

Self-hosted — the same server, running as your own process. Run it with Docker, the Helm chart, or a source build. With Claude Code and Docker installed:

claude mcp add ratatosk -- docker run -i --rm ghcr.io/basphere/ratatosk-mcp:0.10.0

0.10.0 is the current release; use latest to follow new ones.

Either way, verify the connection:

claude mcp list

ratatosk: … - ✔ Connected

Then ask your agent a question the tools can answer:

You: "We run envoy v1.36.8 and istio 1.30.1. Anything we must do before upgrading?"

Your agent calls check_stack and answers from the record: the CVEs

fixed after your version, the APIs removed on your upgrade path, the defaults

that changed — separated into what applies to everyone and what applies only

if your configuration matches. Each change carries a verbatim quote from the

release notes as evidence.

One entry from a real check_stack answer, as the agent receives it (istio, measured 2026-08-20):

{

"severity": "high", "family": "security", "bucket": "action", "applies_if": "uses JWKS Resolver", "quote": "- CVE-2026-31837 / GHSA-v75c-crr9-733c : (CVSS score 8.7, High): JWKS Resolver Failure May Allow Authentication Bypass Using Known Default Keys.", "same_matter_also_addressed_in": ["1.28.5", "1.29.1"] }

applies_if is a condition the agent evaluates, not prose to read: a stack that runs no JWKS resolver skips this entry without asking anyone. The answer also carries its own privacy line, verbatim: *"versions were compared locally; only project slugs were sent to the server."*

Other clients (Claude Desktop, kagent, in-cluster agents) and the full setup reference: see the install guide.

Tools

Two things the tools speak in. A change is one thing a release did, taken from an official release note and tied to the exact identifiers it touches (a CVE id, a flag, a CRD, a config field), with a verbatim quote as evidence. Every change carries three axes:

  • family — security, breaking, or deprecated: what kind of thing it is.
  • bucket — action (applies to everyone), check (only if applies_if matches your setup), plan (announced for later), other (the full record).
  • applies_if — a boolean expression you can evaluate against your own manifests, not prose to read.

A matter is the issue underneath, identified by matter_key and stable across releases and branches: the same security roll-up landing on five branches shares one key. Severity lives on the cited advisories and is read from the ledger's current value, not frozen at analysis time.

ToolWhat it does
check_stackTakes the component versions you run and returns the changes on your upgrade path, split by bucket: action_required applies to everyone, check_config only if its applies_if holds. The comparison happens inside the server process — which is your own process when you self-host (how your component versions are handled)
list_changesThe incremental change feed, oldest-analyzed first. Filter by project, family, or bucket; page with the since cursor to keep a local copy in sync
changes_by_entityReverse lookup: every change touching one exact identifier — such as a CVE id, CRD, feature gate, flag, config field, or dependency
get_matterEvery release in which one matter appeared. The same roll-up lands on several branches carrying different advisories — told only the newest, you would assume you were covered
get_releaseOne release in full: its changes, a summary, and the link to the original note. A release with zero changes means it was read and found routine
list_releasesThe newest releases of one project as one-line summaries (dates, counts by bucket and family, highest advisory severity), newest first — the tool for "what changed in X lately"
list_projectsThe roster of tracked projects and their canonical slugs (the short project id every other tool takes) — look names up here instead of guessing

Full per-tool parameters, example calls, and measured responses live in the tools reference.

How your component versions are handled

Self-hosted: check_stack sends only project slugs to the server and compares versions locally, inside this process — the versions you pass it never reach ratatosk.io. The server publishes changes; your agent decides what applies. The version normalizer is bundled (internal/version), so range comparison happens client-side too. This holds for upgrade questions as well: the upstream API has a convenience endpoint (/v1/upgrade/{project}) that receives caller-supplied versions — check_stack does not call it; the comparison is in the source you can read.

One limit on that guarantee: it covers check_stack. Tools that take a version as an argument — get_release(project, version) — put that version in the upstream request path, because fetching a specific release means naming it. That named path is not kept on my side, though: before a log line is written, query strings are stripped and /v1/releases/… and /v1/upgrade/… paths are reduced to their prefix, so neither the slug nor the version lands in a log.

Hosted: your check_stack arguments (the versions you run) pass through the server's memory to produce the same answer, and are not written down. Here is what each layer on the way keeps:

  • The hosted MCP process itself logs only its startup line — a normal request adds nothing.
  • The upstream API's request log writes one line only when the caller sends a traceparent, and that line carries a normalized endpoint label and the trace id — never a path, query, or body.
  • The front-door access log strips query strings, reduces /v1/releases/… and /v1/upgrade/… paths to their prefix, masks caller IPs, and has no field for request bodies.

The hosted endpoint runs with its audit stream off, and I keep it off — not recording request content is the operating stance for that endpoint. One boundary I do not control: connection metadata on the CDN leg follows the CDN provider's own policy. If your requirements rule out that transit, self-host: then only project slugs leave your infrastructure on a check_stack call.

Self-hosting adds the opposite capability: an opt-in audit stream (MCP_AUDIT=metadata or full) that records who called which tool, emitted inside your own infrastructure into your own collectors. The hosted endpoint has none by design. Details in the install guide.

Documentation

  • [Install & usage](docs/install.en.md) — hosted endpoint · local stdio · in-cluster (Helm) · kagent (한국어 · 日本語)
  • [Helm chart](charts/ratatosk-mcp/README.md) — values, kagent toggle (한국어 · 日本語)
  • [kagent example](examples/kagent/README.md) — manifests + ratatosk-agent (한국어 · 日本語)
  • [Contributing](CONTRIBUTING.md) · [Security policy](SECURITY.md)

Upstream API

This server is a thin client over the public REST API. If you would rather call it directly, GET /v1 on ratatosk.io describes itself. No API key; rate limited at 1200 requests per minute per IP.

Data & terms

The data is served free of charge by ratatosk.io — a term that may change, with advance notice — under its terms of service. Analyses are AI-generated reference information with no warranty — check the original release notes before acting, especially when an agent acts on your behalf. Original notes belong to their respective projects; responses that carry a full note include an attribution notice (raw_notes_notice).

License

The code in this repository is licensed under Apache-2.0.

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