"Campaign Monitor" matching MCP servers:

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 Model Context Protocol server that enables AI assistants like Claude to manage song requests, monitor queues, and interact with streaming platforms' song request systems.

Exposes Burp Suite's REST API to AI assistants, enabling users to trigger vulnerability scans, monitor progress, and manage security tasks through natural language. It also provides programmatic access to Burp's security knowledge base for querying vulnerability definitions and remediation advice.

Exposes the OSMOS Marketing API registry as callable MCP tools, enabling AI agents to discover endpoints and make real API calls with authentication headers and campaign hierarchy support.

A server that provides both comprehensive API documentation and direct robot control capabilities for Opentrons Flex and OT-2 robots, enabling users to manage protocols, control runs, and monitor robot health through natural language.

Bridges with an installed API monitoring application to enable launching and status checks, live background capture, process attach, filter-tree inspection, GUI actions, and opening, validating, decoding, searching, inspecting, exporting, and comparing saved captures and related metadata.

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.

A Model Context Protocol server that provides AI coding assistants (Claude, Cursor, etc.) with access to SmartLead's cold email automation platform through 116+ API endpoints for campaign management, lead tracking, and email delivery.

An MCP server for conversational FHIR testing that integrates with the Touchstone platform. It enables users to launch test executions, monitor status, and retrieve detailed results through natural language commands.

Monitor AI output schemas and API contracts for breaking changes — validate LLM JSON responses against defined schemas on a schedule

MCP server that exposes WebSocket session management as tools, allowing AI agents to open persistent connections, send typed frames, drain buffered messages, and monitor per-frame Shannon entropy to detect schema divergence.