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Readout MCP Server

Developer ToolsLow Risk10.0MCP RegistryRemote
Free

Server data from the Official MCP Registry

Measured readings on open-source dependencies: health, end-of-life, model prices, incidents.

About

Measured readings on open-source dependencies: health, end-of-life, model prices, incidents.

Remote endpoints: streamable-http: https://readout-7pt.pages.dev/api/mcp

Security Report

10.0
Low Risk10.0Low Risk

Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry. 1 finding(s) downgraded by scanner intelligence.

7 tools verified · Open access · 1 issue found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

HTTP Network Access

Connects to external APIs or services over the internet.

file_system

Check that this permission is expected for this type of plugin.

clipboard

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How to Connect

Remote Plugin

No local installation needed. Your AI client connects to the remote endpoint directly.

Add this to your MCP configuration to connect:

{
  "mcpServers": {
    "io-github-kaitzyy-dev-readout": {
      "url": "https://readout-7pt.pages.dev/api/mcp"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

Readout

readout-7pt.pages.dev · your stack · compare · method · feed

Check your dependencies in CI

permissions:
  pull-requests: write   # only needed for the comment

steps:
  - uses: actions/checkout@v4
  - uses: kaitzyy-dev/readout@v1
    with:
      manifest: package.json
      fail-on: archived,relicensed

Fails the build when a dependency's repository has been archived or has moved to a source-available licence, and reports advisories either way. No key, no account, no service to sign up to — it reads published measurements and talks to OSV. A network problem is never a finding: if the readings cannot be fetched the step says so and passes, because a build that breaks when somebody else's site is down is a build that gets deleted.

On a pull request it also leaves a comment with the findings as a table, and rewrites that same comment on every push rather than adding another. A red build tells a reviewer that something is wrong; it does not tell them which dependency, or what changed about it, without opening the log. Set comment: false to report only in the step summary. A pull request from a fork gets a read-only token, so the comment is skipped there and the step still passes.

Also runs against requirements.txt and Cargo.toml.

Suggest something to watch

The watchlist is curated and partial, and it was chosen by hand with no method beyond judgement — its weakest point. Open an issue to argue for a repository. Every change to the list is a reviewed commit, so that issue is where the review happens.

For coding agents

An MCP server over the same readings, so an agent can answer "is this dependency healthy" from a measurement taken today rather than from training data a year old.

{ "mcpServers": { "readout": { "url": "https://readout-7pt.pages.dev/api/mcp" } } }

Seven tools: check_package, check_stack, check_eol, check_provider, compare_repositories, search_repositories, find_model. Read-only, no key, no account. Every result carries the limits of what it can support, because an agent will paste these figures into a code review and a scorecard quoted without "measures declared practices, not whether the project is safe" is a claim this project does not make.

One agent watches ~400 open-source repositories and reports five signals about them. It runs every four hours on GitHub Actions, commits what it reads to this repository, and publishes a static site. Every page and every bundle is a file; the single dynamic route is /api/ask, and no page depends on it.

The commit history of data/ is the point. It is an audit trail: every reading is timestamped, append-only, and checkable against GitHub directly.

What it reports

LensQuestion
ShipsWhat released a new version?
ForksWhat is being copied faster than its own baseline?
DemandWhat are developers asking for, across more than one project?
StackWhat dependencies are moving?
LineageWhich models say they were built on which?

Whether each detector's threshold is reachable at all is published too, on the index under Our record. A detector nothing has ever come close to is not a quiet detector, it is a misconfigured one, and the site says so about itself.

How to read it

Every comparison is against a repository's own history, not against other repositories. "27× baseline" means 27 times what that project normally does, and the baseline is drawn on the chart so you can see what normal means.

Confidence is stated, never implied.

StateMeaning
formingUnder 14 days of history. Raw counts only. No multiplier is computed and none is implied.
detectedCrossed the threshold once. Neutral treatment.
confirmedPersisted across two consecutive daily snapshots.

Only confirmed signals are treated as findings. That costs up to a day of speed and buys the thing that cannot be bought back.

Generated prose is set in a different typeface from measured values. Where a sentence explains a number, every figure in that sentence is checked against the source record before it is published; if any of them is not in the record, the sentence is discarded and a templated one is used instead.

What this does not claim

  • The watchlist is curated and partial. It is chosen by hand and is not a survey of open source. Dependency and demand findings describe the repositories being watched, not the ecosystem.
  • The data is not real-time. Four hours is the floor, and scheduled runs are routinely delayed.
  • Nothing here predicts anything, and nothing here says a repository is good, bad, safe, or unsafe.
  • Appearing on the watchlist is an observation, not a relationship. No project listed here has endorsed this.

Published findings that turn out to be wrong are superseded by a correction event carrying the same prominence. Events are never deleted and history is never rewritten.

The data

Every bundle the site reads is served as JSON, so any claim can be checked against the same file the page used.

data/
├── live/state.jsonl          Latest reading per repository. Sorted, rewritten each pulse.
├── live/window.jsonl         Timestamped fork samples, for the rolling 24h delta.
├── live/manifests.jsonl      Last-seen dependency set, diffed daily.
├── history/YYYY-MM-DD.jsonl  One immutable snapshot per day.
├── events/YYYY-MM.jsonl      Append-only. Never rewritten, never pruned.
├── summaries.jsonl           Generated prose, keyed by event id.
├── watchlist.jsonl           What is watched, and since when.
└── meta.json                 Last run status.

Files are sorted with a fixed key order so a repository that did not change produces no diff. That is what keeps a repository committed to six times a day from growing without bound.

Running it

Node 22.18+ or 24. Types are stripped natively, so there is no build step and no runtime dependencies.

npm install          # dev dependencies only: typescript, vitest, fonts
npm test
npm run typecheck

node scripts/pulse.ts --limit=20   # needs GITHUB_PAT
node scripts/daily.ts
node scripts/build.ts              # emits dist/

Watchlist maintenance

The watchlist is curated. Deriving it from a search query was tried and produced a worse list — topic search only finds repositories that tagged themselves, and sorting by stars ranks tutorials and link collections above infrastructure. derive-watchlist.ts is kept for proposing candidates a curator might have missed, and because the negative result is worth being able to reproduce.

node scripts/verify-watchlist.ts   # check every entry against the API
node scripts/retire-watchlist.ts   # mark archived and deleted ones inactive
node scripts/derive-watchlist.ts   # propose candidates, writes nothing
node scripts/derive-packages.ts    # map repositories to packages, writes nothing

derive-packages.ts fills the packages field, which is what lets the agent ask what a project's downloads are doing rather than only what its repository is doing. It never maps on a name match: a candidate is proposed, the registry's own record for that name is fetched, and the mapping is kept only when the registry points back at this repository. That rule is not decoration — the first version matched on substring and mapped angular/angular to the npm package angular, which belongs to the archived angular/angular.js, and would have credited a dead project's downloads to a live one.

Nothing is ever removed. Retired entries stay on the list with active: false, because deleting one would erase the record that it was watched at all, and the findings collected while it was still link to it.

Two scheduled workflows do the rest. pulse.yml runs every four hours for repository base and releases; daily.yml writes the canonical snapshot, classifies spikes, and collects issues and manifests. Both commit every run, including when nothing changed — scheduled workflows are disabled after 60 days of repository inactivity, and that commit is what prevents it.

Configuration

SecretPurpose
SIGNAL_GITHUB_PATFine-grained token, public repository read only. Secret names cannot begin with GITHUB_.
CLOUDFLARE_API_TOKENCloudflare Pages: Edit
CLOUDFLARE_ACCOUNT_ID
GROQ_API_KEYOptional. Without it every reading still publishes, with numbers and no prose.
X_API_KEY, X_API_SECRET, X_ACCESS_TOKEN, X_ACCESS_SECRETOptional. Without them confirmed findings still publish on the site and in the feed; they are simply not announced.

Both optional groups are genuinely optional: unset, their steps skip and say so. Nothing is marked as a failed run, because choosing not to configure something is not a fault, and a warning that is always on is a warning nobody reads.

License

MIT. See LICENSE.

Cost

Cloudflare Pages, GitHub Actions on a public repository, and Groq's free tier. Static assets and bandwidth on Pages are unlimited, so visitor traffic has no ceiling. Every remaining limit applies to the build side, which is bounded and predictable.

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