Optimist MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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
| Capability | Details |
|---|---|
| tools | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| analyze_performanceC | Analyze code performance and identify bottlenecks |
| optimize_memoryC | Detect memory leaks and suggest memory-efficient patterns |
| analyze_complexityC | Evaluate cyclomatic and cognitive complexity |
| detect_code_smellsC | Identify anti-patterns and code quality issues |
| analyze_dependenciesB | Map and analyze dependency graphs |
| find_dead_codeC | Identify and locate unused code |
| optimize_hot_pathsC | Analyze and optimize frequently executed code paths |
| suggest_refactoringC | Provide AI-powered refactoring recommendations |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 8 tools
Most tools target clearly distinct concerns: complexity, code smells, dead code, dependencies, memory, and refactoring. The only point of confusion is between analyze_performance and optimize_hot_paths, both of which deal with performance bottlenecks and could be misselected by an agent.
All tool names follow a consistent snake_case verb_noun pattern using clear action verbs (analyze, optimize, detect, find, suggest). The convention is uniform and predictable, making it easy to infer the purpose of each tool from its name.
With 8 tools, the server is well-scoped for a code analysis and optimization domain. Each tool covers a distinct aspect of the problem space without unnecessary bloat or redundancy.
The tool surface covers the major dimensions of code quality: performance, memory, complexity, smells, dead code, dependencies, and refactoring. A minor gap is the lack of a tool to directly apply or validate changes, but the server's analytical focus is well served by the existing set.