MCP server
Review
io.github.HectorGuerilla/review-mcp
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Multi-model code review: a panel of models + detectors return a pass/fail verdict. Paid via x402.
Working at last checkAbout 603 tokens per request once connected1 tools
https://review-mcp-production.up.railway.app/mcp
At a glance
- Type
- MCP server
- Publisher
- Not verified
- Status
- Working at last check
- Tools
- 1
- Token cost
- About 603 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http review-mcp https://review-mcp-production.up.railway.app/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.review-mcp] url = "https://review-mcp-production.up.railway.app/mcp"
Gemini CLI
{"mcpServers":{"review-mcp":{"httpUrl":"https://review-mcp-production.up.railway.app/mcp"}}}
Cursor
{"mcpServers":{"review-mcp":{"url":"https://review-mcp-production.up.railway.app/mcp"}}}
VS Code
{"servers":{"review-mcp":{"type":"http","url":"https://review-mcp-production.up.railway.app/mcp"}}}
Antigravity
agy mcp add review-mcp https://review-mcp-production.up.railway.app/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"review-mcp","server_url":"https://review-mcp-production.up.railway.app/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"review-mcp","server_url":"https://review-mcp-production.up.railway.app/mcp"}
Tools
review_code~603 tokens
Adversarial multi-model code review. Submit a diff, a module, or a spec+implementation and get back a structured pass/fail verdict with each issue's type, severity, location, explanation, and suggested fix. Why call this instead of reviewing your own output: a single model shares its blind spots wi
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