panel-review MCP server
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
panel-review MCP server — deployment
Adversarial multi-model review via OpenRouter, callable from Claude as a custom connector.
Tested before packaging: server starts, serves /mcp over streamable-http, all five tools
register, and the health check reports cleanly when the API key is absent rather than crashing.
Files
File | Purpose |
| The server. |
|
|
| Tells Railway how to build and start. Means you don't set the start command by hand. |
| Fallback for hosts that read a Procfile instead. Harmless on Railway. |
Related MCP server: Zen MCP Server
Deploy
Put all four files in a GitHub repo, at the top level (not in a subfolder).
Railway → New Project → Deploy from GitHub repo → pick the repo.
Railway service → Variables → New Variable:
OPENROUTER_API_KEY= your key. Do this before worrying about the first deploy failing.Railway service → Settings → Networking → Generate Domain. Without this the service runs but has no public URL. Port 8000 if asked.
Your connector URL is
https://<the-domain-railway-gave-you>/mcp— note the/mcp.
Connect to Claude
Customize > Connectors > + > Add custom connector, paste the URL, Add. Then enable it per conversation via the + button > Connectors.
First thing to run
Ask Claude to run panel_health. It confirms the server is reachable and the key is set.
Then panel_models with a filter (deepseek, gemini, gpt) to get slugs that currently
resolve — the defaults in the file will drift and should not be trusted.
Optional environment variables
Variable | Default | Purpose |
| 400000 | Rejects oversized documents. |
| 6 | Caps models per call. |
| 200 | Daily spend guard. |
Internal and client routing
Internal work — call the review tools with no
client. Any model, any region, cheapest provider first.Client material — always pass
client(for exampleclient="mantle"). The server looks up the client's zone inclient_regions.json, pins inference there with zero data retention and no prompt training, checks each model can serve that zone, and records the zone the gateway reports on each verdict. A client not in the file uses_default(eu). Models that cannot serve the zone are skipped with a note and the rest of the panel runs; nothing is ever routed outside the zone.Changing a client's zone — edit
client_regions.jsonand commit, only after agreeing the change with the client.panel_models(client="mantle")lists eligible models;panel_models(open_weights=True, detailed=True)adds prices.
Two things to know
Spend exposure. This endpoint spends your OpenRouter key and the URL is the only thing protecting it. Anyone who learns the URL can burn credits. The caps above limit the damage but do not prevent it. Set a spend limit in the OpenRouter dashboard as well, and treat the URL as a secret. If it leaks, delete the Railway domain and generate a new one.
Job state is in memory. panel_submit and panel_status share state within one process.
A redeploy loses running jobs, and if you ever scale to more than one replica the poll can land
on the wrong instance and report "unknown". Stay on a single replica.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
This server cannot be deployed
Maintenance
Related MCP Connectors
Multi-brand AI code review for Claude: up to 12 reviewers and a judge, no install.
OpenRouter for tools and data. Compare catalog providers and call them from one hosted MCP endpoint.
Multi-LLM council: 25+ frontier models in parallel, consensus scoring, verdict-first code review.
Multiple Google accounts (Gmail, Calendar, Drive, Contacts, Tasks) in one Claude connector.
Related MCP Servers
- AlicenseNot gradedqualityDmaintenanceConnects Claude Code with multiple AI models (Gemini, Grok-3, ChatGPT, DeepSeek) simultaneously, allowing users to get diverse AI perspectives, conduct AI debates, and leverage each model's unique strengths.154MIT
- -licenseNot gradedqualityNot gradedmaintenanceGives Claude access to multiple AI models (Gemini, OpenAI, OpenRouter, Ollama) for enhanced development capabilities including extended reasoning, collaborative development, code review, and advanced debugging.-
- AlicenseAqualityDmaintenanceEnables adversarial collaboration between Claude and GPT for automated code critique, verification, and multi-round debate to improve output quality.3MIT
- AlicenseNot gradedqualityDmaintenanceEnables Claude to query other LLMs like ChatGPT, Perplexity, and Gemini for verification and comparison, eliminating manual copy-pasting.ISC