Review MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| GOOGLE_API_KEY | No | Your Google API key for Gemini reviews | |
| OPENAI_API_KEY | No | Your OpenAI API key for Codex reviews |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| check_cli_statusA | Check which code review CLIs (Codex/OpenAI and Gemini) are installed and available. Use this before requesting reviews to see what's available. |
| review_codeA | Request a code review from Codex and Gemini CLIs. Provide code directly as a string. Returns feedback from both reviewers for Claude to consider. |
| review_fileB | Request a code review of a specific file from Codex and Gemini CLIs. Returns feedback from both reviewers for Claude to consider. |
| review_directoryB | Request a code review of all files in a directory from Codex and Gemini CLIs. Returns feedback from both reviewers for Claude to consider. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
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MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/je4550/review-mcp'
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