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Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
ANTHROPIC_API_KEYYesAnthropic API key

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
{
  "listChanged": true
}

Tools

Functions exposed to the LLM to take actions

NameDescription
review_codeA

Analyze a React/TypeScript code snippet for performance issues using parallel AI agents (re-renders, memoization, bundle size, profiling patterns)

review_fileA

Analyze a React/TypeScript file for performance issues by reading it from disk

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A3.7/5.0

Scored across 2 tools

Disambiguation4/5

The two tools are clearly differentiated by input: one accepts a code snippet directly, the other reads a file from disk. While they share the same review purpose, the distinct input mechanisms prevent meaningful confusion.

Naming Consistency5/5

Both tool names follow the consistent verb_noun pattern (review_code, review_file), making the naming predictable and easy to understand.

Tool Count3/5

With only two tools, the server feels minimal for its intended scope. The count is borderline but acceptable for a focused performance-review utility, though it could benefit from additional entry points.

Completeness3/5

The tool surface covers two common input modes but lacks broader workflow support, such as analyzing a project directory, comparing branches, or generating reports. Agents may need to work around these missing capabilities.

Maintenance

ActivityInactive
ResponsivenessNo issues