ai-backend-performance-mcp
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 | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| analyze_projectB | Analyze a Node.js backend project for performance issues across database, async, pooling, and dependencies. |
| analyze_database_queriesA | Detect MongoDB/PostgreSQL query anti-patterns such as N+1 queries, unbounded finds, and sequential query calls. |
| analyze_indexesB | Analyze MongoDB query patterns against createIndex definitions to surface potential missing indexes. |
| analyze_async_patternsB | Detect async performance issues including await in loops, sequential awaits, and blocking operations. |
| analyze_connection_poolingB | Detect database client or pool creation inside request handlers, loops, or other hot paths. |
| analyze_dependenciesA | Analyze package.json and lockfile for dependency hygiene issues including unused and misclassified packages. |
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 6 tools
Each tool targets a clearly distinct performance concern: project-wide analysis, database queries, indexes, async patterns, connection pooling, and dependencies. There is no overlap or ambiguity in their purposes.
All tool names follow the identical 'analyze_<topic>' pattern, making it predictable and easy to infer the function of each tool from its name. No mixed conventions or inconsistent verbs.
Six tools is well-scoped for a performance analysis server. Each tool addresses a distinct aspect of backend performance without redundancy, and the count feels neither thin nor overwhelming.
The tool covers major performance domains: database queries, indexes, async patterns, connection pooling, dependencies, and a project overview. Minor potential gaps like memory or caching analysis are absent, but the core performance concerns are well represented.