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PopNx MCPMCP servers for people who use AI · explained in plain words

ReviewGuard

by eclipsesourceversion 0.3.0i★ –iRuns on your computer
Registry namecom.eclipsesource/review-guard

Install

Overview

Description from the maker (original English)

Safety boundary for agent written GitHub PR reviews: pending and invisible, submitting is opt-in

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: Developer tools
  • You need to fill in: GITHUB_TOKEN

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).
  • You fill in yourself: GITHUB_TOKEN

Values marked secret are keys to your account. Never share them or paste them into a chat.

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-guard": {
      "command": "npx",
      "args": [
        "-y",
        "@eclipsesource/review-guard-mcp",
        "--stdio"
      ],
      "env": {
        "GITHUB_TOKEN": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add review-guard --env GITHUB_TOKEN=your-value -- npx -y @eclipsesource/review-guard-mcp --stdio

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "review-guard": {
      "command": "npx",
      "args": [
        "-y",
        "@eclipsesource/review-guard-mcp",
        "--stdio"
      ],
      "env": {
        "GITHUB_TOKEN": "your-value"
      }
    }
  }
}

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-guard": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@eclipsesource/review-guard-mcp",
        "--stdio"
      ],
      "env": {
        "GITHUB_TOKEN": "your-value"
      }
    }
  }
}

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.

Values you fill in

  • GITHUB_TOKEN secret env
    GitHub token with pull request read and write access. Can be left unset if the GitHub CLI is authenticated, because the server then falls back to gh auth token.

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 against the domain eclipsesource.com (the registry checks domain ownership)

  • … 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 Developer toolsi

  • More stars than 0% of the other 1394 servers in this category
  • Published to the registry more recently than 42% of the other 1394 servers in this category
  • Basic checks equal to or better than 100% of the other 1394 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 ReviewGuard 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?

You need to fill in: GITHUB_TOKEN

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 3 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: GitHub, Desktop Commander, Cloudflare 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

GitHub

by github

GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.

Computer or cloud★ 34,245MITUpdated 3 days ago
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Desktop Commander

by wonderwhy-er

MCP server for terminal commands, file operations, and process management

Runs on your computer★ 10,225MITUpdated 16 days ago
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Cloudflare MCP

by cloudflare

Cloudflare MCP servers

Runs in the cloud★ 4,446Apache-2.0Updated 14 months 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.

ReviewGuard MCP

MCP server (review-guard-mcp) that lets AI agents work on GitHub PR reviews behind a safety boundary. The server holds the write-enabled GitHub token and exposes only review operations, so the agent never sees the token. What those operations are allowed to do is fixed at server start, not negotiable by the agent.

Why

A write-enabled GitHub token is needed to create review comments, but giving that token directly to an agent risks accidental or prompt-injected actions: submitting approvals, requesting changes, closing other people's review threads, or touching unrelated repositories. This server sits in between and narrows the token down to exactly the review capabilities you opt into.

Modes

The server supports two modes of use:

Pending mode (default)

The agent reads PR discussion context and builds a pending (draft) review. Nothing it writes is visible to anyone else until a human opens the PR, inspects the draft comments, and submits the review themselves. Submission is structurally unreachable: the submit tool is not even registered, and the underlying client refuses every submit action.

Use this when an agent assists a human reviewer, for example in IDE setups (Claude Code, Codex, Theia) where the agent drafts inline comments and the human stays the reviewer of record.

Submit mode (opt-in, --allow-submit)

Started with --allow-submit, the server additionally registers a submit tool so the agent can post the review itself. Guardrails stay in place:

  • The allowed review actions are restricted to the set you list (for example comment-only, with no approvals).
  • Every submitted review starts with a fixed, server-configured disclaimer the agent cannot change or remove.
  • Optionally, --allow-resolve lets the agent resolve its own review threads (never anyone else's), and --repo/--pr pin the server to a single pull request.

Use this for unattended, autonomous review bots, for example a watcher that reviews every PR where a review is requested from the bot account and posts a real (comment-only) review.

Installation

Requires Node.js >= 22.

Install globally (makes review-guard-mcp available in PATH):

npm install -g @eclipsesource/review-guard-mcp

Or pin to a specific version:

npm install -g @eclipsesource/review-guard-mcp@<version>

The server is also listed in the MCP Registry as com.eclipsesource/review-guard, so clients that browse the registry can find and install it from there. The entry is metadata only, there is no hosted instance to connect to: it describes the npm package above, which your client installs and runs locally in the default pending mode.

From source

Requires npm >= 12 and a Node version supported by it (see CONTRIBUTING.md):

git clone https://github.com/eclipsesource/review-guard.git

cd review-guard npm ci npm run build npm link # creates a global symlink to the binary

Tools

ToolAvailabilityDescription
get_pr_review_contextalwaysGet PR author/message, submitted review summaries, inline review threads with resolved state, reactions and permalinks, and general PR comments
list_pending_reviewalwaysList the authenticated user's pending draft review, including all current pending review comments and their permalinks
add_review_commentsalwaysAdd one or more comments to the authenticated user's pending review, creating the pending review if needed
modify_review_commentalwaysUpdate or delete one comment from the authenticated user's pending review
delete_pending_reviewalwaysDelete the authenticated user's pending review and all its comments
submit--allow-submitSubmit the pending review as a real, posted review. The action is limited to the allowed set and the review summary always starts with the fixed, server-configured disclaimer
resolve_review_thread--allow-resolveResolve one of the authenticated user's own review threads (e.g. a prior finding the latest push fixed). Refuses threads started by anyone else

Submit mode flags

By default the server cannot submit reviews. To allow it, start the server with --allow-submit listing one or more of approve, comment, reject:

review-guard-mcp --port 4000 \

--allow-submit approve,comment \ --submit-body "This is an autonomous, AI-based review and may contain mistakes."

  • --allow-submit enables the submit tool and restricts its action enum to exactly these values. approve maps to APPROVE, comment to COMMENT, and reject to REQUEST_CHANGES. Invalid actions abort startup.
  • --submit-body sets the fixed review summary prefix posted with every submission. The agent cannot change or remove it and may only append its own summary below it. If omitted while --allow-submit is set, a built-in default disclaimer is used. Its wording adapts to the allowed actions (when approve is not allowed it states the review is not an approval, rather than caveating one). Requires --allow-submit and must not be empty.
  • --allow-resolve registers the resolve_review_thread tool. The client resolves only threads whose first comment was authored by the authenticated user, so a bot can tidy up its own now-fixed findings on a re-review but never close another reviewer's conversation.

Without --allow-submit, the submit tool is not registered and the submitReview client method refuses every action, so submission is structurally unreachable.

Scoping to a single PR (opt-in)

Start the server with --repo --pr to pin it to one pull request:

review-guard-mcp --port 4000 --repo eclipsesource/some-repo --pr 123

When scoped, every tool drops its owner/repo/pull_number arguments and acts on that PR only. resolve_review_thread additionally checks that the thread belongs to it. The client (github.ts) enforces this independently of the tool schemas, so a caller cannot reach a different PR or repo the token can otherwise write to. Use this whenever the server backs an automated review of a known PR (typically together with submit mode), so a prompt-injected agent cannot post to or resolve threads on unrelated PRs. Both flags are required together. Omitting them leaves the server unscoped (the caller supplies the PR per call).

MCP Client Configuration

Stdio mode (recommended for IDEs)

The server runs as a child process managed by the IDE. No port configuration needed.

For MCP clients that use the common JSON config shape (Claude Code, VS Code, Theia):

{

"mcpServers": { "review-guard": { "command": "npx", "args": ["-y", "@eclipsesource/review-guard-mcp", "--stdio"] } } }

For Codex, add the server to ~/.codex/config.toml or a trusted project-local .codex/config.toml:

[mcp_servers.review-guard]

command = "npx" args = ["-y", "@eclipsesource/review-guard-mcp", "--stdio"]

Or pin to a specific version:

{

"mcpServers": { "review-guard": { "command": "npx", "args": ["-y", "@eclipsesource/review-guard-mcp@ ", "--stdio"] } } }

Remote HTTP mode

The server runs standalone and exposes a Streamable HTTP endpoint.

Start the server:

review-guard-mcp --port 4000                     # bind to 127.0.0.1 (localhost only)

review-guard-mcp --port 4000 --host 172.17.0.1 # bind to a specific address instead

Then point your MCP client at the printed URL (e.g. http://127.0.0.1:4000/mcp). Each POST is an independent stateless request.

Codex HTTP configuration uses the same TOML shape:

[mcp_servers.review-guard]

url = "http://127.0.0.1:4000/mcp"

--host flag

By default the HTTP server binds to 127.0.0.1, which makes it unreachable from containers and other machines. Pass --host to bind one specific address instead. Because the endpoint is unauthenticated, the unspecified addresses (0.0.0.0, ::) are rejected at startup.

The main use case is a reviewing agent that runs inside a container (e.g. a sandboxed agent runtime) and needs to reach the MCP server on the host. On Linux, bind the container network's gateway IP, e.g. for Docker's default bridge (typically 172.17.0.1):

review-guard-mcp --port 4000 \

--host "$(docker network inspect bridge --format '{{(index .IPAM.Config 0).Gateway}}')"

The host firewall must also allow traffic on the MCP port from the container subnet, e.g. with ufw:

sudo ufw allow from 172.17.0.0/16 to any port 4000 proto tcp

From inside the container you can point the client at whichever local name reaches the host: the gateway IP itself, host.docker.internal (Docker) or host.containers.internal (Podman), or a localhost/127.0.0.1 alias that your runtime maps to the host. With a non-loopback --host the server accepts the Host header for any of these while still rejecting unknown hosts, so DNS-rebinding protection stays on.

Authentication

If the GitHub CLI is installed and authenticated (gh auth login), no token configuration is needed. The server automatically retrieves the token via gh auth token.

If gh is not available, provide a token explicitly via the MCP config:

{

"mcpServers": { "review-guard": { "command": "npx", "args": ["-y", "@eclipsesource/review-guard-mcp", "--stdio"], "env": { "GITHUB_TOKEN": "ghp_..." } } } }

The full resolution order is:

  1. `GITHUB_TOKEN` environment variable
  2. `GH_TOKEN` environment variable
  3. `gh auth token`, which reads the token from the GitHub CLI

A fine-grained personal access token scoped to the repositories you review is recommended.

Security considerations

  • The agent never sees the token. The server holds it and only exposes the tool set configured at startup.
  • HTTP mode binds to `127.0.0.1` by default and validates the Host header against the bound address (DNS rebinding protection), so a malicious website cannot reach the server through a victim's browser.
  • The `/mcp` endpoint itself is unauthenticated. Anyone who can reach the port can use the configured capabilities. Keep it on localhost, or with a non-loopback --host restrict the port to the intended subnet via firewall, because every machine or container on that network can otherwise reach it. Unspecified bind addresses (0.0.0.0, ::) are refused at startup.
  • Prefer a fine-grained token scoped to only the r

Only the beginning is shown; read the rest in the repo

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