Can analysis run without sending code to a remote provider?

Yes. The README supports local analysis through Ollama.

Can it use a hosted language model?

Yes. It can connect to any OpenAI-compatible provider using an API base, model, and API key.

Does it modify files automatically?

The ocr heal command can preview fixes with --dry-run or apply fixes when run without that option.

Open Code Review

code-reviewdeveloper-toolsci-cdai-safetystatic-analysis

MCP server and CLI for finding AI-generated code defects across six programming languages.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "raye-deng-open-code-review": {
      "command": "npx",
      "args": [
        "-y",
        "@opencodereview/cli"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Overview

Open Code Review analyzes AI-generated code for hallucinated imports, stale APIs, security anti-patterns, over-engineering, and cross-file logic issues. Use it as a local or CI/CD quality gate, with analysis powered by Ollama or an OpenAI-compatible provider. It also supports AI-assisted fixes and IDE rule generation.

Use cases

Scan AI-generated code before merging

Detect hallucinated packages and imports

Check code for stale APIs and security patterns

Run deep LLM analysis in CI/CD

Preview or apply AI-generated fixes

Key features

Structural, semantic, and LLM-based code analysis

Hallucinated package detection for npm, PyPI, Maven, and Go modules

Support for TypeScript, JavaScript, Python, Java, Go, and Kotlin

A+ to F quality scoring with SLA thresholds

AI auto-fix with dry-run support

Cursor, Copilot, and Augment IDE rule generation

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Open Code Review.

Extracted Tool Capabilities

Structural, semantic, and LLM-based code analysis

Hallucinated package detection for npm, PyPI, Maven, and Go modules

Support for TypeScript, JavaScript, Python, Java, Go, and Kotlin

A+ to F quality scoring with SLA thresholds

AI auto-fix with dry-run support

Cursor, Copilot, and Augment IDE rule generation

Documentation Overview

Open Code Review

The first open-source CI/CD quality gate built specifically for AI-generated code. Detects hallucinated imports, stale APIs, over-engineering, and security anti-patterns — powered by local LLMs and any OpenAI-compatible provider. Free. Self-hostable. 6 languages.

Works With

Any AI tool that generates code — if it writes it, OCR reviews it.

What AI Linters Miss

AI coding assistants (Copilot, Cursor, Claude) generate code with defects that traditional tools miss entirely:

Defect	Example	ESLint / SonarQube
Hallucinated imports	`import { x } from 'non-existent-pkg'`	❌ Miss
Stale APIs	Using deprecated APIs from training data	❌ Miss
Context window artifacts	Logic contradictions across files	❌ Miss
Over-engineered patterns	Unnecessary abstractions, dead code	❌ Miss
Security anti-patterns	Hardcoded example secrets, `eval()`	❌ Partial

Open Code Review detects all of them — across 6 languages, for free.

Demo

L2 HTML Report Screenshot

📄 View full interactive HTML report

Quick Preview

bash

$ ocr scan src/ --sla L3

╔══════════════════════════════════════════════════════════════╗
║           Open Code Review — Deep Scan Report               ║
╚══════════════════════════════════════════════════════════════╝

  Project: packages/core/src
  SLA: L3 Deep — Structural + Embedding + LLM Analysis

  112 issues found in 110 files

  Overall Score: 67/100  D
  Threshold: 70  |  Status: FAILED
  Files Scanned: 110  |  Languages: typescript  |  Duration: 12.3s

Deep Scan (L3) — How It Works

L3 combines three analysis layers for maximum coverage:

Code

Layer 1: Structural Detection         Layer 2: Semantic Analysis        Layer 3: LLM Deep Scan
├── Hallucinated imports (npm/PyPI)   ├── Embedding similarity recall   ├── Cross-file coherence check
├── Stale API detection               ├── Risk scoring                  ├── Logic bug detection
├── Security patterns                 ├── Context window artifacts      ├── Confidence scoring
├── Over-engineering metrics          └── Enhanced severity ranking     └── AI-powered fix suggestions
└── A+ → F quality scoring

Powered by local LLMs or any OpenAI-compatible API. Run Ollama for 100% local analysis, or connect to any remote LLM provider — the interface is the same.

bash

# Local analysis (Ollama)
ocr scan src/ --sla L3 --provider ollama --model qwen3-coder

# Any OpenAI-compatible provider
ocr scan src/ --sla L3 --provider openai-compatible \
  --api-base https://your-llm-endpoint/v1 --model your-model --api-key YOUR_KEY

AI Auto-Fix — `ocr heal`

Let AI automatically fix the issues it finds. Review changes before applying.

bash

# Preview fixes without changing files
ocr heal src/ --dry-run

# Apply fixes + generate IDE rules
ocr heal src/ --provider ollama --model qwen3-coder --setup-ide

# Only generate IDE rules (Cursor, Copilot, Augment)
ocr setup src/

Multi-Language Detection

Language-specific detectors for 6 languages, plus hallucinated package databases (npm, PyPI, Maven, Go modules):

Language	Specific Detectors
TypeScript / JavaScript	Hallucinated imports (npm), stale APIs, over-engineering
Python	Bare `except`, `eval()`, mutable default args, hallucinated imports (PyPI)
Java	`System.out.println` leaks, deprecated `Date/Calendar`, hallucinated imports (Maven)
Go	Unhandled errors, deprecated `ioutil`, `panic` in library code
Kotlin	`!!` abuse, `println` leaks, null-safety anti-patterns

How It Compares

	Open Code Review	Claude Code Review	CodeRabbit	GitHub Copilot
Price	Free	$15–25/PR	$24/mo/seat	$10–39/mo
Open Source	✅	❌	❌	❌
Self-hosted	✅	❌	Enterprise	❌
AI Hallucination Detection	✅	❌	❌	❌
Stale API Detection	✅	❌	❌	❌
Deep LLM Analysis	✅	❌	❌	❌
AI Auto-Fix	✅	❌	❌	❌
Multi-Language	✅ 6 langs	❌	JS/TS	JS/TS
Registry Verification	✅ npm/PyPI/Maven	❌	❌	❌
Unicode Security Detection	✅	❌	❌	❌
SARIF Output	✅	❌	❌	❌
GitHub + GitLab	✅ Both	GitHub only	Both	GitHub only
Data Privacy	✅ 100% local	❌ Cloud	❌ Cloud	❌ Cloud

Quick Start

bash

# Install
npm install -g @opencodereview/cli

# Fast scan — no AI needed
ocr scan src/

# Deep scan — with local LLM (Ollama)
ocr scan src/ --sla L3 --provider ollama --model qwen3-coder

# Deep scan — with any OpenAI-compatible provider
ocr scan src/ --sla L3 --provider openai-compatible \
  --api-base https://your-provider/v1 --model your-model --api-key YOUR_KEY

CI/CD Integration

GitHub Actions (30 seconds)

yaml

name: Code Review
on: [pull_request]

jobs:
  review:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: raye-deng/open-code-review@v1
        with:
          sla: L1
          threshold: 60
          github-token: ${{ secrets.GITHUB_TOKEN }}

GitLab CI

yaml

code-review:
  script:
    - npx @opencodereview/cli scan src/ --sla L1 --threshold 60 --format json --output ocr-report.json
  artifacts:
    reports:
      codequality: ocr-report.json

Output Formats

bash

ocr scan src/ --format terminal    # Pretty terminal output
ocr scan src/ --format json        # JSON for CI pipelines
ocr scan src/ --format sarif       # SARIF for GitHub Code Scanning
ocr scan src/ --format html        # Interactive HTML report

Configuration

yaml

# .ocrrc.yml
sla: L3
ai:
  embedding:
    provider: ollama
    model: nomic-embed-text
    baseUrl: http://localhost:11434
  llm:
    provider: ollama
    model: qwen3-coder
    endpoint: http://localhost:11434

  # Or use any OpenAI-compatible provider:
  # provider: openai-compatible
  # apiBase: https://your-llm-endpoint/v1
  # model: your-model

MCP Server — Use in Claude Desktop, Cursor, Windsurf

Integrate Open Code Review directly into your AI IDE via the Model Context Protocol:

Terminal

npx @opencodereview/mcp-server

Claude Desktop (claude_desktop_config.json):

config.json

{
  "mcpServers": {
    "open-code-review": {
      "command": "npx",
      "args": ["-y", "@opencodereview/mcp-server"]
    }
  }
}

Cursor / Windsurf / VS Code Copilot: Add the same configuration in your MCP settings.

Available MCP Tools: ocr_scan (quality gate scan), ocr_heal (AI auto-fix), ocr_explain (issue explanation).

💡 Chrome DevTools MCP Compatible: The OCR MCP Server follows the standard Model Context Protocol. Pair it with Google's Chrome DevTools MCP Server for a complete AI-native dev workflow — one inspects your running app, the other inspects your source code.

Project Structure

Code

packages/
  core/              # Detection engine + scoring (@opencodereview/core)
  cli/               # CLI tool — ocr command (@opencodereview/cli)
  mcp-server/        # MCP Server for AI IDEs (@opencodereview/mcp-server)
  github-action/     # GitHub Action wrapper

Who Is This For?

Teams using AI coding assistants — Copilot, Cursor, Claude Code, Codex, or any LLM-based tool that generates production code
Open-source maintainers — Review AI-generated PRs for hallucinated imports, stale APIs, and security anti-patterns before merging
DevOps / Platform engineers — Add a quality gate to CI/CD pipelines without sending code to cloud services
Security-conscious teams — Run everything locally (Ollama), keep your code on your machines
Solo developers — Free, fast, and works with zero configuration (npx @opencodereview/cli scan src/)

Featured On

Read the full README →View source on GitHub →

Related MCP Servers

View all in Developer Tools View all alternatives

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars

Stargazers on the source repository.

npm downloads

118

Package downloads in the last 30 days.

Last commit

4mo ago

Most recent push to the default branch.

Directory activity

1 views

Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Open Code Review

It provides language-specific detection for TypeScript, JavaScript, Python, Java, Go, and Kotlin.

AllMCPs Directory Badge

Full Badge Customizer

Showcase your server listing on GitHub or your project documentation. Embed this dynamic SVG badge to highlight official listing status and live engagement.

Badge Style:

Live Dynamic SVG Preview

Open Code Review AllMCPs Directory Badge

Markdown (GitHub README)

[![AllMCPs](https://allmcps.com/api/badge/raye-deng-open-code-review?style=directory)](https://allmcps.com/mcp/raye-deng-open-code-review)

HTML Embed

<a href="https://allmcps.com/mcp/raye-deng-open-code-review"><img src="https://allmcps.com/api/badge/raye-deng-open-code-review?style=directory" alt="Open Code Review on AllMCPs" /></a>

Technical Specs & Signals

CategoryDeveloper Tools

PricingFree

2/6 checks healthy over the last 32d

52Quality signal: Good · 52/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools23/30

Adoption & activity6/15

Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 26d ago via OSV.dev · @opencodereview/cli (npm)

★ Spotlight Slot

Feature Your MCP Server

Get maximum visibility for your server across our directory, search results, and detail pages.

Spotlight Your Server

Own this project?

This directory is pre-filled from public sources. Claim via GitHub README, site badge, or DNS TXT to unlock edit access and the Official badge — proof is checked automatically, then reviewed by our team.

Free dofollow backlink: add your website and place the AllMCPs badge on it — no claim needed. We detect it automatically and keep it verified as long as the badge stays live.

Claim & get free dofollow

Share & Embed

Add our SVG badge (dark/light directory styles) or embeddable widget to your site.

Explore more

More in 💻 Developer Tools →Best MCP servers for Developers →Alternatives to Open Code Review →Install in Claude Desktop Install in Cursor Install in VS Code

Open Code Review

code-reviewdeveloper-toolsci-cdai-safetystatic-analysis

MCP server and CLI for finding AI-generated code defects across six programming languages.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "raye-deng-open-code-review": {
      "command": "npx",
      "args": [
        "-y",
        "@opencodereview/cli"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Overview

Use cases

Scan AI-generated code before merging

Detect hallucinated packages and imports

Check code for stale APIs and security patterns

Run deep LLM analysis in CI/CD

Preview or apply AI-generated fixes

Key features

Structural, semantic, and LLM-based code analysis

Hallucinated package detection for npm, PyPI, Maven, and Go modules

Support for TypeScript, JavaScript, Python, Java, Go, and Kotlin

A+ to F quality scoring with SLA thresholds

AI auto-fix with dry-run support

Cursor, Copilot, and Augment IDE rule generation

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Open Code Review.

Extracted Tool Capabilities

Structural, semantic, and LLM-based code analysis

Hallucinated package detection for npm, PyPI, Maven, and Go modules

Support for TypeScript, JavaScript, Python, Java, Go, and Kotlin

A+ to F quality scoring with SLA thresholds

AI auto-fix with dry-run support

Cursor, Copilot, and Augment IDE rule generation

Documentation Overview

Open Code Review

The first open-source CI/CD quality gate built specifically for AI-generated code. Detects hallucinated imports, stale APIs, over-engineering, and security anti-patterns — powered by local LLMs and any OpenAI-compatible provider. Free. Self-hostable. 6 languages.

Works With

Any AI tool that generates code — if it writes it, OCR reviews it.

What AI Linters Miss

AI coding assistants (Copilot, Cursor, Claude) generate code with defects that traditional tools miss entirely:

Defect	Example	ESLint / SonarQube
Hallucinated imports	`import { x } from 'non-existent-pkg'`	❌ Miss
Stale APIs	Using deprecated APIs from training data	❌ Miss
Context window artifacts	Logic contradictions across files	❌ Miss
Over-engineered patterns	Unnecessary abstractions, dead code	❌ Miss
Security anti-patterns	Hardcoded example secrets, `eval()`	❌ Partial

Open Code Review detects all of them — across 6 languages, for free.

Demo

L2 HTML Report Screenshot

📄 View full interactive HTML report

Quick Preview

bash

$ ocr scan src/ --sla L3

╔══════════════════════════════════════════════════════════════╗
║           Open Code Review — Deep Scan Report               ║
╚══════════════════════════════════════════════════════════════╝

  Project: packages/core/src
  SLA: L3 Deep — Structural + Embedding + LLM Analysis

  112 issues found in 110 files

  Overall Score: 67/100  D
  Threshold: 70  |  Status: FAILED
  Files Scanned: 110  |  Languages: typescript  |  Duration: 12.3s

Deep Scan (L3) — How It Works

L3 combines three analysis layers for maximum coverage:

Code

Layer 1: Structural Detection         Layer 2: Semantic Analysis        Layer 3: LLM Deep Scan
├── Hallucinated imports (npm/PyPI)   ├── Embedding similarity recall   ├── Cross-file coherence check
├── Stale API detection               ├── Risk scoring                  ├── Logic bug detection
├── Security patterns                 ├── Context window artifacts      ├── Confidence scoring
├── Over-engineering metrics          └── Enhanced severity ranking     └── AI-powered fix suggestions
└── A+ → F quality scoring

Powered by local LLMs or any OpenAI-compatible API. Run Ollama for 100% local analysis, or connect to any remote LLM provider — the interface is the same.

bash

# Local analysis (Ollama)
ocr scan src/ --sla L3 --provider ollama --model qwen3-coder

# Any OpenAI-compatible provider
ocr scan src/ --sla L3 --provider openai-compatible \
  --api-base https://your-llm-endpoint/v1 --model your-model --api-key YOUR_KEY

AI Auto-Fix — `ocr heal`

Let AI automatically fix the issues it finds. Review changes before applying.

bash

# Preview fixes without changing files
ocr heal src/ --dry-run

# Apply fixes + generate IDE rules
ocr heal src/ --provider ollama --model qwen3-coder --setup-ide

# Only generate IDE rules (Cursor, Copilot, Augment)
ocr setup src/

Multi-Language Detection

Language-specific detectors for 6 languages, plus hallucinated package databases (npm, PyPI, Maven, Go modules):

Language	Specific Detectors
TypeScript / JavaScript	Hallucinated imports (npm), stale APIs, over-engineering
Python	Bare `except`, `eval()`, mutable default args, hallucinated imports (PyPI)
Java	`System.out.println` leaks, deprecated `Date/Calendar`, hallucinated imports (Maven)
Go	Unhandled errors, deprecated `ioutil`, `panic` in library code
Kotlin	`!!` abuse, `println` leaks, null-safety anti-patterns

How It Compares

	Open Code Review	Claude Code Review	CodeRabbit	GitHub Copilot
Price	Free	$15–25/PR	$24/mo/seat	$10–39/mo
Open Source	✅	❌	❌	❌
Self-hosted	✅	❌	Enterprise	❌
AI Hallucination Detection	✅	❌	❌	❌
Stale API Detection	✅	❌	❌	❌
Deep LLM Analysis	✅	❌	❌	❌
AI Auto-Fix	✅	❌	❌	❌
Multi-Language	✅ 6 langs	❌	JS/TS	JS/TS
Registry Verification	✅ npm/PyPI/Maven	❌	❌	❌
Unicode Security Detection	✅	❌	❌	❌
SARIF Output	✅	❌	❌	❌
GitHub + GitLab	✅ Both	GitHub only	Both	GitHub only
Data Privacy	✅ 100% local	❌ Cloud	❌ Cloud	❌ Cloud

Quick Start

bash

# Install
npm install -g @opencodereview/cli

# Fast scan — no AI needed
ocr scan src/

# Deep scan — with local LLM (Ollama)
ocr scan src/ --sla L3 --provider ollama --model qwen3-coder

# Deep scan — with any OpenAI-compatible provider
ocr scan src/ --sla L3 --provider openai-compatible \
  --api-base https://your-provider/v1 --model your-model --api-key YOUR_KEY

CI/CD Integration

GitHub Actions (30 seconds)

yaml

name: Code Review
on: [pull_request]

jobs:
  review:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: raye-deng/open-code-review@v1
        with:
          sla: L1
          threshold: 60
          github-token: ${{ secrets.GITHUB_TOKEN }}

GitLab CI

yaml

code-review:
  script:
    - npx @opencodereview/cli scan src/ --sla L1 --threshold 60 --format json --output ocr-report.json
  artifacts:
    reports:
      codequality: ocr-report.json

Output Formats

bash

ocr scan src/ --format terminal    # Pretty terminal output
ocr scan src/ --format json        # JSON for CI pipelines
ocr scan src/ --format sarif       # SARIF for GitHub Code Scanning
ocr scan src/ --format html        # Interactive HTML report

Configuration

yaml

# .ocrrc.yml
sla: L3
ai:
  embedding:
    provider: ollama
    model: nomic-embed-text
    baseUrl: http://localhost:11434
  llm:
    provider: ollama
    model: qwen3-coder
    endpoint: http://localhost:11434

  # Or use any OpenAI-compatible provider:
  # provider: openai-compatible
  # apiBase: https://your-llm-endpoint/v1
  # model: your-model

MCP Server — Use in Claude Desktop, Cursor, Windsurf

Integrate Open Code Review directly into your AI IDE via the Model Context Protocol:

Terminal

npx @opencodereview/mcp-server

Claude Desktop (claude_desktop_config.json):

config.json

{
  "mcpServers": {
    "open-code-review": {
      "command": "npx",
      "args": ["-y", "@opencodereview/mcp-server"]
    }
  }
}

Cursor / Windsurf / VS Code Copilot: Add the same configuration in your MCP settings.

Available MCP Tools: ocr_scan (quality gate scan), ocr_heal (AI auto-fix), ocr_explain (issue explanation).

💡 Chrome DevTools MCP Compatible: The OCR MCP Server follows the standard Model Context Protocol. Pair it with Google's Chrome DevTools MCP Server for a complete AI-native dev workflow — one inspects your running app, the other inspects your source code.

Project Structure

Code

packages/
  core/              # Detection engine + scoring (@opencodereview/core)
  cli/               # CLI tool — ocr command (@opencodereview/cli)
  mcp-server/        # MCP Server for AI IDEs (@opencodereview/mcp-server)
  github-action/     # GitHub Action wrapper

Who Is This For?

Teams using AI coding assistants — Copilot, Cursor, Claude Code, Codex, or any LLM-based tool that generates production code
Open-source maintainers — Review AI-generated PRs for hallucinated imports, stale APIs, and security anti-patterns before merging
DevOps / Platform engineers — Add a quality gate to CI/CD pipelines without sending code to cloud services
Security-conscious teams — Run everything locally (Ollama), keep your code on your machines
Solo developers — Free, fast, and works with zero configuration (npx @opencodereview/cli scan src/)

Featured On

Read the full README →View source on GitHub →

Related MCP Servers

View all in Developer Tools View all alternatives

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars

Stargazers on the source repository.

npm downloads

118

Package downloads in the last 30 days.

Last commit

4mo ago

Most recent push to the default branch.

Directory activity

1 views

Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Open Code Review

It provides language-specific detection for TypeScript, JavaScript, Python, Java, Go, and Kotlin.

AllMCPs Directory Badge

Full Badge Customizer

Showcase your server listing on GitHub or your project documentation. Embed this dynamic SVG badge to highlight official listing status and live engagement.

Badge Style:

Live Dynamic SVG Preview

Markdown (GitHub README)

[![AllMCPs](https://allmcps.com/api/badge/raye-deng-open-code-review?style=directory)](https://allmcps.com/mcp/raye-deng-open-code-review)

HTML Embed

<a href="https://allmcps.com/mcp/raye-deng-open-code-review"><img src="https://allmcps.com/api/badge/raye-deng-open-code-review?style=directory" alt="Open Code Review on AllMCPs" /></a>

Technical Specs & Signals

CategoryDeveloper Tools

PricingFree

2/6 checks healthy over the last 32d

52Quality signal: Good · 52/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools23/30

Adoption & activity6/15

Community engagement0/10

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 26d ago via OSV.dev · @opencodereview/cli (npm)

★ Spotlight Slot

Feature Your MCP Server

Get maximum visibility for your server across our directory, search results, and detail pages.

Spotlight Your Server

Own this project?

Free dofollow backlink: add your website and place the AllMCPs badge on it — no claim needed. We detect it automatically and keep it verified as long as the badge stays live.

Claim & get free dofollow

Share & Embed

Add our SVG badge (dark/light directory styles) or embeddable widget to your site.

Explore more

More in 💻 Developer Tools →Best MCP servers for Developers →Alternatives to Open Code Review →Install in Claude Desktop Install in Cursor Install in VS Code

Open Code Review

Quick Install

Client Config & Setup

Overview

Use cases

Key features

Capabilities & Tool Schemas

Documentation Overview

Open Code Review

Works With

What AI Linters Miss

Demo

Quick Preview

Deep Scan (L3) — How It Works

AI Auto-Fix — ocr heal

Multi-Language Detection

How It Compares

Quick Start

CI/CD Integration

GitHub Actions (30 seconds)

GitLab CI

Output Formats

Configuration

MCP Server — Use in Claude Desktop, Cursor, Windsurf

Project Structure

Who Is This For?

Featured On

Related MCP Servers

Adoption & maintenance

Reviews

Frequently Asked Questions about Open Code Review

AllMCPs Directory Badge

Technical Specs & Signals

Supply-chain signal

Feature Your MCP Server

Own this project?

Share & Embed

Explore more

Open Code Review

Quick Install

Client Config & Setup

Overview

Use cases

Key features

Capabilities & Tool Schemas

Documentation Overview

Open Code Review

Works With

What AI Linters Miss

Demo

Quick Preview

Deep Scan (L3) — How It Works

AI Auto-Fix — ocr heal

Multi-Language Detection

How It Compares

Quick Start

CI/CD Integration

GitHub Actions (30 seconds)

GitLab CI

Output Formats

Configuration

MCP Server — Use in Claude Desktop, Cursor, Windsurf

Project Structure

Who Is This For?

Featured On

Related MCP Servers

Adoption & maintenance

Reviews

Frequently Asked Questions about Open Code Review

AllMCPs Directory Badge

Technical Specs & Signals

Supply-chain signal

Feature Your MCP Server

Own this project?

Share & Embed

Explore more

AI Auto-Fix — `ocr heal`

AI Auto-Fix — `ocr heal`