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Ottorev — Review MCP Server

by ottonicversion 0.3.0i★ –iRuns on your computer
Registry nameio.github.ottonic/review-mcp-server

Install

Overview

Description from the maker (original English)

Durable review context for CAD: entity names, notes, tags, and revision-bound decisions.

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

  • 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": {
    "review": {
      "command": "npx",
      "args": [
        "-y",
        "review-mcp-server"
      ]
    }
  }
}

Run this in your terminal

claude mcp add review -- npx -y review-mcp-server

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "review": {
      "command": "npx",
      "args": [
        "-y",
        "review-mcp-server"
      ]
    }
  }
}

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": {
    "review": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "review-mcp-server"
      ]
    }
  }
}

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 ottonic, 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 3532 servers in this category
  • Published to the registry more recently than 79% of the other 3532 servers in this category
  • Basic checks equal to or better than 100% of the other 3532 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 Ottorev — Review MCP Server 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 (0.3.0) reached the registry 8 days 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: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel

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

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

Runs in the cloud★ 7,620MITUpdated 2 months ago
Install

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
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.

Ottorev — Review MCP Server

The memory an engineering assistant needs. This local stdio MCP server records names, notes, tags, and decisions against an exact CAD revision in SQLite, so an assistant can pick up where it left off — remember that a face is the mating surface, that a tolerance callout is tight, or that a review concluded *hold* with the requirements behind it.

It never opens the CAD file: it stores the revision the caller supplies and compares it on recall, so it works on a laptop with no CAD software and no other server running.

Quick start

Requires Node.js 26+ and npm. From this repository:

npm install

npm run build REVIEW_MCP_DB_PATH=/absolute/path/to/review.db npm start

For any MCP client:

{

"mcpServers": { "review": { "command": "node", "args": ["/absolute/path/to/review-mcp-server/dist/src/index.js"], "env": { "REVIEW_MCP_DB_PATH": "/absolute/path/to/review.db" } } } }

REVIEW_MCP_DB_PATH defaults to ./review-mcp.db; parent directories are created automatically. Records persist across restarts — protect and back up the database as application data.

Tools

ToolBehavior
rememberSave a named feature (re-remember replaces) or an anonymous note (re-remember appends) against an entity set, with tags. Returns replaced so a caller can tell which happened.
recallRetrieve by artifact, entity, free text, or tags; marks each record stale against a supplied current revision. Follow pagination for complete retrieval.
remember_decisionSave the disposition reached about a revision and its basis — one row per requirement-check, naming the source, the evidence, the state, and the engineer's verdict. Re-remembering the same subject replaces it.
recall_decisionsReturn decisions newest-first, each marked stale when it belongs to another revision. An entity_id filter matches only the supplied revision.
forgetDelete a named feature, an anonymous note by entity, or a decision by subject. Idempotent.

Results provide structured content and text; tool failures set MCP isError. Writes change local records; the client controls when to request those mutations. The server also advertises engineering-review prompts that compose with a geometry server, while the core record operations run on their own.

Artifact and subject semantics

An input artifact contains revision (sha256: plus 64 lowercase hex digits), format: "step", and optional URI and units:

{

"revision": "sha256:0123456789abcdef0123456789abcdef0123456789abcdef0123456789abcdef", "uri": "file:///work/part.step", "format": "step", "units": "mm" }

Supply the actual revision from the producer; the example digest is illustrative. A URI groups records by locator; without a URI, the revision is the lookup key.

uri accepts either a URI or a plain filesystem path, because a path is what a caller usually has in hand:

{ "uri": "/work/part.step" }

Both spellings address the same records: a path is normalised to a file: URI before anything is stored or matched. A relative path resolves against the server working directory. Normalisation never opens the file, so a record can be written for an artifact this server cannot read.

An entity filter is revision-scoped; a text or tag filter is not. An entity ID denotes different geometry in a different revision, so recall and recall_decisions match an entity_id only against records written for the supplied revision, and match it exactly — face:3 does not match face:30. Names, notes, subjects, and tags are matched across revisions, which is how an earlier record is found at all, and every result says whether it is stale.

Each returned record contains one artifact reference, its entity IDs, and the ID scheme. The entity IDs are opaque outside that scheme and revision.

Decision records

A review names or annotates geometry. A decision is the other thing a review produces: a disposition about a revision, and the basis it rests on.

One basis item is one requirement-check, and it answers for itself:

fieldwhat it carries
requirementwhat has to hold, stated so it can be checked
sourcewhere the requirement came from: model-pmi, drawing, shop-spec, supplier-cert, standard, prior-decision, engineer-stated, or assistant-proposed
sourceDetailthe clause, note number, or document a reader can follow
evidencethe value as it was reported, quoted with its provenance
statesatisfied, violated, unresolved, conflicting, or not-applicable
questionrequired for unresolved and conflicting: what would settle it
facesthe geometry the item is about, in this revision; always present, empty when the item is about the part
verdictthe engineer's accepted / rejected judgement, with a reason when they gave one

unresolved and conflicting are first-class outcomes: a decision that carries them is a complete record of where the work stands, not a failure to decide. A basis item is refused when it cannot answer for itself — no source, or a state of unresolved/conflicting with no question.

Three properties matter more than the shape:

  • A decision is bound to a revision. The revision is part of its key, so the same subject at the same revision is recalled rather than reached again, and a decision made against a different revision comes back marked stale: true, still carrying the revision it belongs to.
  • Face IDs do not travel between revisions. Topological naming is unsolved in OCCT, and this API does not pretend otherwise: an entity_id filter matches only the revision that produced the ID.
  • Verdicts are what make a requirement agreed. Recording a verdict turns a line the assistant proposed into one the engineer accepted or rejected — the record of how much authority the assistant actually earned.

A stored decision is the caller's own account: the requirement as stated and the evidence as quoted. This server never measures anything, so a recalled decision is a record of what was concluded, not a measurement cache — Geometry remains the authority for numbers.

Limits

Review stores authored context: names, notes, and tags bound to an artifact revision, and decisions with the requirements they rest on. It does not store verified measurements, a complete immutable audit history, or authoritative approval records, and it does not compute geometry, run simulation, or decide manufacturability. Staleness is judged from a revision the caller supplies; Review never opens the CAD file.

There are no schema migrations: the database is a working file, and a changed table shape means deleting it. The server reports the version mismatch rather than guessing at a transformation.

Development

Requires Node.js 26+ and just. A Nix flake and .envrc provide the toolchain; run direnv allow after changing either.

RecipePurpose
just setupInstall dependencies.
just devRun TypeScript over stdio.
just buildCompile into dist/.
just testRun unit tests.
just lintRun oxlint.
just fmtRewrite formatting with Prettier.
just fmt-checkVerify formatting.
just typecheckRun tsc --noEmit.
just checkfmt-check + lint + typecheck + test.
just cleanRemove compiled output, retaining the database.

Server logs go to stderr as newline-delimited pino JSON. MCP_LOG_LEVEL (debug|info|warn|error), MCP_LOG_FORMAT=human, and MCP_TRACE_ID tune them; secret-like fields are redacted.

Packaging

npm pack builds first and includes compiled runtime code, package metadata, and this README. Tests and source maps are excluded. Install the tarball to check the review-mcp executable with a compatible MCP client. The server serves both protocol eras: the 2025-11-25 handshake that stock MCP hosts negotiate, and the 2026-07-28 envelope through server/discover.

License

MIT. Third-party notices: THIRD_PARTY_NOTICES.md.

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