Schema | open-code-review

open-code-review

Describes the environment variables required to run the server.

Name	Required	Description	Default
No arguments

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.

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{}

Functions exposed to the LLM to take actions

Name	Description
scan_directoryB	Scan a directory for AI-generated code quality issues. Detects hallucinated imports, phantom packages, stale APIs, security anti-patterns, and more. Supports TypeScript, JavaScript, Python, Java, Go, and Kotlin.
scan_diffA	Scan git diff between two branches for code quality issues. Ideal for PR/MR review — only analyzes changed files and lines.
explain_issueC	Explain a code quality issue detected by OCR. Returns detailed explanation, category context, and fix guidance for the AI agent to act on.
heal_codeC	Load a file's source code and prepare a repair prompt for the AI agent. The agent (you) should then apply the fix based on the issue description and suggestion. Returns the file content along with the repair context.

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/raye-deng/open-code-review'

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