"Windows Performance Toolkit and xperf.exe" matching MCP servers:

Enables AI agents to create webhook URLs, wait for incoming deliveries, inspect payloads, and replay or send signed webhook events to a local handler.

A Model Context Protocol server that enables LLMs to interact with GraphQL APIs by providing schema introspection and query execution capabilities.

Provides tools for summarizing GitHub repositories and issues, running read-only SQL against configured SQLite or Postgres databases, and invoking OpenAPI operations over allowlisted HTTP hosts.

Comprehensive API development and testing MCP server for Claude Code. Integrates OpenAPI parsing, testing, SDK generation, and documentation generation into Claude workflows.

Enables AI agents to interact with any GraphQL API by introspecting the schema and exposing queries and mutations as MCP tools, with built-in pagination, semantic search, and framework adapters.

Enables LLMs to interact directly with generated REST APIs by exposing CRUD actions as MCP tools and read-only data as MCP resources.

Enables LLMs to discover and use generated REST API services as Model Context Protocol tools and resources, supporting CRUD actions and read-only data access without custom glue code.

Enables API troubleshooting and payload operations for SAP SuccessFactors, including Compound Employee SOAP queries and OData extraction, through MCP over stdio.

Enables precise measurement of live HTTP and WebSocket services while maintaining an append-only, evidence-based ledger of claims that agents can query with explicit timestamps, staleness indicators, and instructions for re-verification.

Implements a secure MCP server with API Key and JWT authentication, providing tools like echo, login, secure_action, and admin_action. Includes MCP Inspector integration for testing and debugging.

This server facilitates scalable discovery and execution of OpenAPI endpoints using semantic search and high-performance processing, overcoming limitations of large spec handling for streamlined API interactions.

ozon-mcp is a knowledge-rich MCP server that turns the entire Ozon seller toolkit into 15 high-leverage tools. AI agents (Claude, Cursor, Cline, Continue, Goose, Zed, …) can search the API in Russian or English, drill into any of 466 methods with a fully-resolved JSON Schema, and execute calls with built-in safety guards. Subscription- aware, automatic pagination over all 4 cursor styles, retry/ba

A high-performance, multi-protocol API mock server with 18 built-in MCP tools for managing HTTP, GraphQL, gRPC, WebSocket, MQTT, SSE, and SOAP mocks, chaos engineering, stateful CRUD resources, and request verification.

Enables AI assistants to interact with Fastly's CDN API through the Model Context Protocol, allowing secure management of CDN services, caching, security settings, and performance monitoring without exposing API keys.

A small native HTTP client whose MCP server (plunger mcp) lets an AI agent send requests safely: undefined variables are refused, secrets are filled in by name and masked in results, and every request is recorded in a history you can see in the window. MIT licensed, for Windows, with a Linux build of the CLI and MCP server.

An MCP server that enables AI assistants to control HTTP Toolkit for intercepting, inspecting, and debugging HTTP(S) traffic from browsers, mobile devices, and Docker containers. It provides tools for server management, interceptor activation, and sending HTTP requests through natural language commands.

MCP server for generating, validating, running, and reporting Apache JMeter API performance tests from structured API sources.

Enables interaction with Google Ads through the Google Ads API using GCloud authentication. Supports GAQL query execution, performance data retrieval, account management, and resource discovery with pagination and multiple output formats.

Enables interaction with Chess.com's public API to retrieve player profiles and statistics including rating history and performance metrics for any Chess.com username.

Monitor the real-time status of 200+ popular APIs and services. Check if services like GitHub, Stripe, AWS, and Slack are experiencing outages or degraded performance directly from your AI assistant.

Provides AI agents with comprehensive knowledge of the Karate DSL framework for API testing, UI automation, and performance testing.

Enables MCP clients to connect over stateless Streamable HTTP or stdio, use an example time-zone tool with typed schemas and error handling, and validate deployed endpoints with a preflight checker.

Gorgon Scout is a Windows web-application and API security scanner (DAST). This connector exposes it as MCP tools, so your AI assistant can record a target you are authorised to test, run the scan, stream findings, and produce a report. Capture needs no proxy or certificate setup, and it intercepts HTTP/1.1, HTTP/2, and HTTP/3 (QUIC). Works with the free Claude Desktop plan.

Exposes add, subtract, multiply, and divide tools for performing arithmetic operations over stdio via the Model Context Protocol.

Exposes FastAPI routes as MCP tools with auto-discovery, Pydantic schema extraction, and built-in observability.

MCP server for loading and exploring OpenAPI/Swagger specifications, enabling AI assistants to dynamically browse API contracts by loading specs, searching endpoints, inspecting schemas, and retrieving operations.

A TypeScript-based MCP server that provides backend API handling and facilitates communication between microservices. Features an organized structure with controllers, routes, and models for easy extensibility and maintenance.

An Intelligent Model Context Protocol server that generates mock servers from OpenAPI specifications, featuring advanced logging, performance analytics, and server discovery for AI-assisted API development.

A high-performance local and public webhook inspector for testing SSRF, APIs, and out-of-band interactions with Cloudflare Quick Tunnel, dynamic mocks, and callback polling for AI agents.

Enables AI agents to perform stateful Windows RPC attack-surface research through a persistent PowerShell engine, including RPC parsing, live connections, method invocation, and built-in CVE-2024–2026 methodology tools such as context-handle scanning, fuzzing, and endpoint discovery.