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

Batch Review

by hevangelversion 1.3.0i★ –iRuns on your computer
Registry nameio.github.hevangel/batch-review-mcp

Install

Overview

Description from the maker (original English)

Git diff and markdown review with a web UI plus MCP stdio for AI agents.

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.

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Download the maker’s .mcpb file

The link goes to the maker’s own file; we do not host or repackage it. Open the file and Claude Desktop installs it.

Run this in your terminal

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.

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 hevangel, 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 3592 servers in this category
  • Published to the registry more recently than 33% of the other 3592 servers in this category
  • Basic checks equal to or better than 100% of the other 3592 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 Batch Review 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 (1.3.0) reached the registry 2 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need MCPB 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:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Agent-Native Calendar

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

by BuilderIOWidely used★ 7.6KUpdated 2 months ago

Runs in the cloud

Excel MCP Server

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

by haris-musaWidely used↓ 49.6K/wk★ 4.3KUpdated 8 days ago

Runs on your computer

MCP Server for Excel

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

by sbroenneGrowing↓ 4.3K/wk★ 847Updated 5 days ago

Runs on your computer

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.

Batch Review

A collaborative code and markdown review tool that bridges human reviewers and AI agents. Both can browse files, inspect git diffs, leave structured comments, and save a final review report — all from the same UI, in real time.


Features

FeatureDescription
3-panel review UIFile explorer + git changes on the left, viewer in the center, comment thread on the right
Markdown rendering.md files are fully rendered, including GitHub-style math with KaTeX: inline $…$ and GitHub’s dollar-backtick inline form, display $$…$$ blocks, and fenced math code blocks; plus Mermaid fenced diagrams and WaveDrom fenced diagrams (digital timing diagrams, bit-field/register diagrams, and logic/schematic diagrams), each with a toolbar toggle between rendered and source views; highlight any paragraph to add a comment
HTML previewing.html and .htm files render in a sandboxed center-panel preview with scripts disabled; select rendered elements, text, or a visual region to add source-backed comments, including a saved PNG crop for region comments
PDF viewing.pdf files render in the center panel with page-aware text or region comments and reload support
DOCX/PPTX viewing.docx and .pptx files render locally in the browser with docx-preview and @aiden0z/pptx-renderer; select document text or a normalized page/slide region to add comments, with Office region selections saved as PNG screenshots beside the review JSON/Markdown output, without LibreOffice or Microsoft Office
Office document safetyOffice packages are fetched as binary data; git diff mode reports them as binary instead of showing misleading ZIP/XML text
Syntax highlightingAll common languages via Monaco Editor (Python, TypeScript, Go, Rust, etc.)
Inline git diffClick changed files to view inline red/green unified diffs for local changes, a previous commit/ref vs HEAD, or current checkout vs a GitHub PR head
Structured commentsEach comment captures @filename:L10-15 line references automatically, with richer rendered-view anchors where useful; Office anchors include document kind, page/slide, normalized region, selected text, and a renderer fingerprint
Outdated recoveryWhen a text comment goes stale, refresh its stored highlight from the current file directly from the right panel
AI collaborationMCP server exposes many tools so AI agents can review alongside humans — UI updates live, with on-screen notices for agent-driven comment changes. Also ships a token-efficient CLI client mode (batch-review ) for coding agents and a Claude Code plugin with a review-workflow skill
Dual outputSaves review as both JSON (machine-readable) and Markdown (human-readable)
Resume sessionOn startup, if {output-dir}/{output}.json already exists, comments are loaded automatically
Cross-platformRuns on Windows and Linux
Theme toggleSwitch the web UI between the original dark theme and a warm light theme from the left-panel top bar
GitHub-style math example

The preview uses the delimiter rules from Writing mathematical expressions: inline $…$, GitHub’s dollar-backtick inline form (rewritten to $…$ before parsing), display $$…$$, and fenced math code blocks. Rendering is KaTeX rather than GitHub’s MathJax, so a few uncommon macros can differ even when markdown syntax matches.

This app does not embed raw HTML in the markdown preview, so GitHub’s $ workaround for literal dollar signs in prose is unavailable here—inside math, escape $ as \$ per GitHub’s docs.

Examples:

Inline: $\sqrt{3x-1}+(1+x)^2$

Dollar-backtick (GitHub-compatible): $e^{i\pi} + 1 = 0$

$$ \nabla_\theta J(\theta) = \mathbb{E}_{(s, a) \sim \pi_\theta} \left[\nabla_\theta \log \pi_\theta(a \mid s)\, R(s, a)\right] $$

WaveDrom example

Fenced wavedrom ` blocks are parsed as WaveJSON (via JSON5, so unquoted/single-quoted keys are fine) and rendered inline, with the same source/rendered toolbar toggle as Mermaid. Three diagram kinds are supported, selected automatically from the JSON shape:

A digital timing diagram (signal):

{signal: [

{name: 'clk', wave: 'p.....'}, {name: 'data', wave: 'x.345x', data: ['head', 'body', 'tail']}, {name: 'req', wave: '0.1..0'}, {name: 'ack', wave: '1.....'} ]}

A bit-field / register diagram (reg):

{reg: [

{bits: 7, name: 'opcode'}, {bits: 5, name: 'rd'}, {bits: 3, name: 'funct3'}, {bits: 5, name: 'rs1'}, {bits: 12, name: 'imm[11:0]'} ], config: {bits: 32}}

A logic / schematic diagram (assign):

{assign: [["z", ["|", "a", ["&", "b", "c"]]]]}

Architecture

At runtime, Batch Review is a single Python application that serves the browser UI, exposes REST and WebSocket endpoints for that UI, and optionally exposes the same review session to MCP clients.

flowchart LR

CLI["CLI entry point uv run batch-review"] Browser["Browser UI React + Zustand"] McpHost["MCP host Cursor / Claude Desktop / VS Code / other clients"] AgentCli["Coding agent Claude Code / Cursor CLI / Codex batch-review "]

subgraph Backend["Batch Review backend process"] Server["FastAPI app static frontend / REST /api/* WebSocket /ws"] Mcp["FastMCP server stdio transport HTTP transport /mcp/"] State["Shared AppState repo root, comments, per-client MCP sessions, connected WebSocket clients"] end

Repo["Git repository under review"] Output["Saved review output review_comments.json review_comments.md"] PortFile[".batch_review/server.json discovery file"]

CLI --> Server CLI --> Mcp Server --> Browser Browser -->|"REST reads/writes"| Server Browser <-->|"live sync"| Server Server --> State Mcp --> State McpHost -->|"stdio or HTTP MCP"| Mcp AgentCli -->|"REST /api/*"| Server AgentCli -.->|"reads for discovery"| PortFile Server -.->|"writes on start"| PortFile State -->|"read files, diffs, existing review data"| Repo State -->|"save/load review reports"| Output State -.->|"broadcast UI events"| Browser

  • The browser loads the React app from the FastAPI server, fetches files/comments/config over REST, and stays synchronized through /ws.
  • MCP tools and REST routes both operate on the same in-memory AppState, so agent-created comments appear in the UI immediately. Every comment carries a userid; browser comments default to the Windows/Linux/macOS account running the server, while MCP connections and CLI profiles can change their own current userid.
  • Multiple MCP clients can connect to one server concurrently. They share the collaborative comment collection, but each client gets an isolated application session and current userid; legacy FastMCP connections map their Context.session_id to that application session, while modern stateless clients pass its private ID explicitly.
  • In --mcp mode, the HTTP server keeps the web UI available while FastMCP also runs over stdio for editor and CLI hosts.
  • In CLI client mode, coding agents invoke batch-review (e.g. add-comment, diff) which calls the same REST endpoints — no MCP tool schemas loaded into agent context. The server writes .batch_review/server.json on startup so CLI verbs can discover it.

Distribution

  • [PyPI — `batch-review-mcp`](https://pypi.org/project/batch-review-mcp/) — published wheels and sdist for pip / uv.
  • [Official MCP Registry — `io.github.hevangel/batch-review-mcp`](https://registry.modelcontextprotocol.io/v0.1/servers/io.github.hevangel%2Fbatch-review-mcp/versions/latest) — latest published server metadata (JSON API; the registry site is still preview).

Requirements

  • Python ≥ 3.13 with uv
  • Node.js ≥ 22 (for the one-time frontend build; matches GitHub Actions)

Installation

git clone https://github.com/hevangel/batch-review-mcp.git

cd batch-review-mcp uv sync

The first run will automatically build the React frontend if frontend/dist/ does not exist (requires Node.js + npm on PATH).


Usage

Standalone mode (browser opens by default)
# Review the current directory

uv run batch-review

Review a specific git repository

uv run batch-review --root /path/to/your/repo

Custom host / port

uv run batch-review --root /path/to/repo --host 0.0.0.0 --port 9100

Specify output filenames

uv run batch-review --root /path/to/repo --output review --output-dir /tmp/reviews

→ saves /tmp/reviews/review.json and /tmp/reviews/review.md

The server auto-selects a free port in the 9000–9999 range if the default port is already in use.

MCP stdio mode (Claude Desktop / Cursor / any MCP client; browser opens by default)
uv run batch-review --mcp --root /path/to/repo

The HTTP server starts in a background thread (so the browser UI remains accessible), your default browser opens to the app URL (same as standalone mode; use --no-browser to skip), and the MCP stdio transport runs in the main thread.

Claude Desktop config (claude_desktop_config.json):

{

"mcpServers": { "batch-review": { "command": "uv", "args": ["run", "batch-review", "--mcp", "--root", "/path/to/repo"] } } }

CLI client mode (token-efficient agent interface)

For coding agents (Claude Code, Cursor CLI, Codex, etc.), the CLI client mode is more token-efficient than loading 18 MCP tool schemas into context. Each verb is one process invocation that emits a single JSON document to stdout. The CLI talks to a running server over REST, so every comment and highlight also appears in the human reviewer's browser UI in real time.

# Start the server in the background (browser opens by default)

batch-review start --root .

{"web_url": "http://127.0.0.1:9000", "pid": 12345, "port": 9000}

List changed files

batch-review changes

[{"path": "main.py", "status": "M", ...}, ...]

Inspect a diff

batch-review diff main.py

Identity defaults to the OS account running the command; change it when needed

batch-review get-userid batch-review set-userid reviewer-a

Add a comment anchored to a line range (captures the current userid)

batch-review add-comment main.py 10 15 "This null check is redundant."

Save the review report (JSON + Markdown)

batch-review save

Stop the server when done

batch-review stop

Server discovery — verbs auto-discover a running server in priority order: the BATCH_REVIEW_WEB_URL env var, then /.batch_review/server.json (written by start), then probing ports 9000–9999.

CLI identity — get-userid and set-userid manage the userid attached to new CLI comments. The default is the local OS account from Python's cross-platform account lookup. Profiles are stored independently under .batch_review/users/; use --profile NAME or BATCH_REVIEW_USER_PROFILE when multiple agents share one checkout. BATCH_REVIEW_USERID or add-comment --userid ID overrides the selected profile for one process/request. Userids may contain printable international text (maximum 25

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

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