MCP Radar
Servidor MCP

api-perf-analyzer

io.github.lazymac2x/api-perf-analyzer
Nube e infraestructura Herramientas para desarrolladores Público y accesible MCP 2026-07-28

Qué hace este MCP

Analyzes API performance, identifies latency bottlenecks and cache opportunities, and recommends optimization actions.

Capacidades

Herramientas

4 herramientas
bottleneck_detect
Identify which component (DB, external API, compute) is the dominant latency source.
Esquema de entrada 
{'type': 'object', 'required': ['responseTime'], 'properties': {'computeTime': {'type': 'number', 'description': 'Time on in-process computation in ms'}, 'databaseTime': {'type': 'number', 'description': 'Time on DB queries in ms'}, 'responseTime': {'type': 'number', 'description': 'Total response time in ms'}, 'externalApiTime': {'type': 'number', 'description': 'Time on external API calls in ms'}}}
cache_opportunity
Detect missing or suboptimal HTTP caching headers and get prioritized fixes.
Esquema de entrada 
{'type': 'object', 'properties': {'headers': {'type': 'object', 'description': 'HTTP response headers as key-value object'}, 'dataSize': {'type': 'number', 'description': 'Response body size in bytes'}}}
optimization_suggest
Get a prioritized, actionable optimization plan. Accepts raw metrics or the output of perf_analyze.
Esquema de entrada 
{'type': 'object', 'properties': {'grade': {'type': 'string', 'description': 'From perf_analyze output (optional)'}, 'dataSize': {'type': 'number'}, 'errorRate': {'type': 'number'}, 'responseTime': {'type': 'number'}, 'dataEfficiency': {'type': 'number', 'description': 'From perf_analyze output (optional)'}}}
perf_analyze
Grade API response time (A–D), compute throughput and data efficiency, get targeted recommendations.
Esquema de entrada 
{'type': 'object', 'required': ['responseTime'], 'properties': {'dataSize': {'type': 'number', 'description': 'Response body bytes (default: 1)'}, 'errorRate': {'type': 'number', 'description': 'Error rate 0–1 (default: 0)'}, 'requestCount': {'type': 'number', 'description': 'Parallel request count (default: 1)'}, 'responseTime': {'type': 'number', 'description': 'Response time in milliseconds (> 0)'}}}
Historial

Cambios recientes en herramientas

Añadido
optimization_suggest
17 de September de 2026 a las 12:43
Añadido
bottleneck_detect
17 de September de 2026 a las 12:43
Añadido
cache_opportunity
17 de September de 2026 a las 12:43
Añadido
perf_analyze
17 de September de 2026 a las 12:43
Descubrir

Servidores MCP similares

shiply

now.shiply/shiply

Publishes and manages web applications with SQL databases, serverless functions, domains, email tests, client intake, contracts, …

Fine Structure

ai.finestructure/fine-structure

Builds and hosts full-stack applications from prompts and supports agent communication through WhatsApp and email.

mcp

cloud.redu/mcp

Provisions and manages cloud instances, networks, storage, databases, backups, VPNs, application deployments, and autocoding-agen…

EchoRelay

dev.echorelay/management

Manages a hosted API relay runtime, including projects, endpoints, credentials, publishing, keys, delivery logs, and dead-letter …

Supero

io.github.supero-platform/supero

Builds, validates, publishes, tests, and deploys multi-tenant applications with schemas, CRUD operations, external data connector…

Replicate

io.github.pipeworx-io/replicate

Provides access to Replicate models, versions, collections, hardware, predictions, and deployments for running and managing hoste…

Relin

io.github.earonesty/relin

Configures webhook sources and destinations, monitors delivery health, investigates failures, manages retries, and replays events.

Scalix Cloud

world.scalix/cloud

Provides managed databases, SQL tools, container builds, persistent Linux machines, domains, scheduled functions, storage, and pr…