Browse the catalog

Enables users to run and manage BBOT security scans through the MCP interface. Provides comprehensive tools for executing reconnaissance scans, monitoring progress, and retrieving results with support for concurrent scanning operations.

MCP server that gives an agent its own email inbox: it opens the inbox, waits for the one-time code a signup sends, and reads or sends mail. Addresses are permanent, so a test suite does not need a new one per run; only the messages expire, on a retention window you set.

Public MCP server for integrating Cuprice pricing widgets from AI tools like Cursor, Claude Desktop, and Claude Code.

The Unbundle OpenAPI MCP server provides tools for manipulating OpenAPI specification files through the Model Context Protocol. It offers two primary capabilities: splitting large OpenAPI files into multiple smaller files based on their structure, and extracting specific endpoints into new files while preserving their referenced components. Built using TypeScript and the MCP SDK, it leverages the Redocly CLI internally to perform the actual file operations. This server is particularly useful for developers working with complex API specifications who need to create more focused documentation, extract subsets of APIs for specific teams, or simplify large specifications for better maintainability.

Enables managing Kubernetes clusters through natural language by providing tools to list resources, view logs, port-forward services, scale deployments, and execute kubectl operations via AI assistants.

Anki MCP Server provides a bridge between AI assistants and the Anki flashcard application through the AnkiConnect plugin. It enables programmatic management of flashcards, decks, and review processes with tools for creating cards, updating fields, retrieving due or new cards, and searching across collections. Built with TypeScript using the Model Context Protocol SDK, it communicates via stdio transport and handles HTML formatting for card content. This implementation is particularly valuable for users who want to automate their flashcard creation and study workflow directly through AI assistants without manually navigating the Anki interface.

A minimal stateless HTTP MCP server demonstrating the 2026-07-28 protocol era, with tools for arithmetic, order and user queries, resources, prompts, and MCP Apps, featuring caching and W3C trace context.

Enables ChatGPT to invoke tools and render widgets via the Model Context Protocol, using a Next.js application with OpenAI Apps SDK integration.

This RabbitMQ MCP server, developed by Ken Liao, enables AI assistants to interact with RabbitMQ message queues through the Model Context Protocol. Built in Python, it provides a bridge between MCP clients and RabbitMQ instances, allowing operations like publishing and consuming messages. The implementation leverages libraries such as Pika for RabbitMQ communication and supports TLS for secure connections. By abstracting queue operations into MCP-compatible endpoints, it allows AI systems to easily integrate messaging capabilities without directly handling RabbitMQ complexities. This server is particularly useful for scenarios requiring AI-driven message processing, event-driven architectures, or automated workflow management in distributed systems.

Enables AI agents to search and track US federal regulations, documents, and executive orders from the Federal Register, with no API keys required.

MCP server that provides web search functionality using the Tavily API. It runs in stdio transport mode and can be integrated with Cursor or other MCP clients.

This MCP server provides complete Proxmox virtualization platform management, enabling AI assistants to monitor cluster health, manage virtual machines and containers, and execute commands within VMs through the Proxmox API. Built using Python with the proxmoxer library and FastMCP framework, it offers cluster-wide resource monitoring with node status and storage information, VM lifecycle management including creation with customizable specifications and power operations (start, stop, shutdown, reset, delete), command execution within VMs via QEMU guest agent integration, and storage pool monitoring across the cluster. The implementation includes token-based authentication, comprehensive error handling with fallback mechanisms for partial data availability, and styled output formatting with color-coded status indicators, making it valuable for datacenter automation, infrastructure monitoring workflows, and any use case requiring programmatic control over Proxmox virtualization environments.

MCP server for security analysis using VirusTotal API, enabling AI assistants to analyze URLs, files, IP addresses, and domains with automatic relationship fetching.

Enables storing and querying structured information about software code entities (classes, functions, files) and their relationships (calls, imports) along with qualitative observations like design decisions and change rationale.

An MCP server that maintains a consistent world-state of people and their relationships across AI agents and devices using hybrid storage and cloud sync.

Enables AI agents to perform semantic search over codebases by converting natural language queries into efficient search patterns like grep and ripgrep. It utilizes LLMs to verify relevance and find code snippets that traditional keyword-based searches might miss.

Enables natural-language queries about Azure resource compliance, including VM compliance, patch status, orphaned RBAC, and infrastructure health, through read-only MCP tools.

A generic MCP server that exposes Gmail and Google Docs capabilities as tools for AI agents. Enables sending emails and appending content to Google Docs.

Enables Claude Desktop and other MCP clients to list, read, export, and create Cloudcraft cloud-architecture blueprints, as well as snapshot AWS resources.

Integrates Rize.io's time tracking and productivity analytics with AI assistants via the Model Context Protocol, enabling natural language queries about productivity metrics, focus sessions, and project management.