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Glama
NamPH-Kozocom

AI Code Review MCP Server

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
WORKSPACE_PATHYesThe local path to your workspace for file system operations
GITHUB_PERSONAL_ACCESS_TOKENYesYour GitHub Personal Access Token

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

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
github_list_reposC

List GitHub repositories for authenticated user

github_get_prC

Get pull request details

github_get_pr_diffC

Get pull request diff for code review

github_list_prsC

List pull requests in a repository

fs_read_fileC

Read file contents from workspace

fs_list_filesC

List files in a directory

fs_search_filesC

Search for files by pattern (e.g., *.js, *.py)

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

B3/5.0

Scored across 7 tools

Disambiguation4/5

The tools are mostly distinct with clear purposes, but there is some potential overlap between fs_list_files and fs_search_files, as both involve listing files, which could cause minor confusion. However, their descriptions clarify that one lists all files while the other searches by pattern, helping to mitigate ambiguity.

Naming Consistency3/5

The naming is mixed, with fs_* tools using a prefix and github_* tools using a different prefix, but within each group, the verb_noun pattern is consistent (e.g., fs_list_files, github_get_pr). This mixed convention reduces overall consistency, though it remains readable and functional.

Tool Count4/5

With 7 tools, the count is reasonable for an AI code review server, covering file system operations and GitHub PR interactions. It is slightly lean but well-scoped, as each tool serves a specific purpose without obvious bloat or redundancy.

Completeness3/5

The tool surface has notable gaps for a code review domain, such as missing tools for creating or updating PRs, commenting on code, or analyzing code quality directly. While it covers basic file and PR retrieval, it lacks full lifecycle coverage, which could limit agent effectiveness in comprehensive code review workflows.

Maintenance

ActivityInactive
ResponsivenessNo issues