"Overview of HTTP (HyperText Transfer Protocol)" matching MCP servers:

Conformance test harness for Model Context Protocol servers, validating JSON-RPC, transport, capability, schema, and more across multiple spec versions.

MCP server providing tools to verify task completion (tests pass and changes match claim) and confirm bug reproduction before fixing.

MITM proxy MCP server that intercepts and verifies AI agent tool calls, detecting fabrication, tracking costs, verifying outcomes, and inferring user satisfaction.

Enables AI agents to fetch daily deterministic constraint challenges and submit JSON answers for immediate, stateless evaluation via MCP.

AI-controlled browser farm — run N isolated Chromium instances with 36 MCP tools for device emulation, screenshots, network/geolocation simulation, and diagnostics. Cross-platform: Windows GUI + headed/headless on Linux/macOS.

Validates governance evidence for Codex development tasks, enforcing requirements alignment, single-active-subject candidates, executable specifications, and independent gates for traceable review packets.

Validates Mermaid diagrams with comprehensive grammar parsing supporting 28+ diagram types. Processes markdown files, ZIP archives, and direct input with detailed error reporting and enterprise-grade performance capabilities.

Enables MCP-compatible clients to discover API endpoints from OpenAPI/Swagger specs, send HTTP requests, validate responses, and analyze status codes for automated API testing.

A stdio MCP server that audits other MCP servers over the live protocol. It connects to any MCP target (stdio or HTTP), lints every tool's schema for agent-usability, then actually calls the tools with deliberately broken inputs to see how the server handles them, and returns a 0–100 conformance score with a per-dimension breakdown rendered as Markdown.

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.

Wraps testgen's test-suite generation as an MCP tool, enabling AI assistants to generate test suites from requirements via a local HTTP endpoint.

Enables interaction with Webhook.site to create, manage, and monitor endpoints for capturing HTTP requests, emails, and DNS lookups. It provides 16 tools for testing webhooks and inspecting incoming data through the Model Context Protocol.

A MCP server that enables AI assistants to control Android devices via ADB, supporting device info, screen control, input simulation, app management, shell execution, file transfer, and UI parsing.

An MCP server for interacting with MockServer, enabling AI assistants to create mock HTTP expectations, verify requests, clear state, and manage MockServer instances programmatically.

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.

Enables UI debugging on physical iOS devices by bridging to an in-app DebugBridge HTTP service, supporting UI inspection, element interaction, log retrieval, and runtime validation.

An HTTP/HTTPS MITM proxy server that enables capture, modification, and mocking of network traffic across Chrome, CLI tools, Docker containers, and Android devices. It supports advanced capabilities like JA3/JA4 TLS fingerprinting, JA3 spoofing, and upstream proxy chaining.

Enables out-of-band interaction testing by integrating ProjectDiscovery's interactsh service as an MCP server. Allows AI agents to create callback domains, send probes, and capture DNS/HTTP interactions for security testing and verification workflows.

A Model Context Protocol server that enables AI-driven automation and testing of Scenic Elixir applications through a TCP connection.

A Model Context Protocol server for ad-hoc UI testing of Android and iOS apps, enabling LLM agents to interact with mobile app UIs and react to observations.