Packages

Google Maps MCP server enabling AI agents to interact with Google Maps APIs — searching for places, geocoding addresses, getting directions and route information, retrieving business details, and integrating location data into agent-driven workflows requiring geographic context.

Home Assistant add-on and MCP server that lets AI IDEs manage smart home configurations through natural language. Provides real-time access to entities, automations, dashboards, and HACS integrations with Git-based version control and rollback.

Official MCP server from InfraNodus for mapping text into knowledge graphs — creating structured network representations of concepts and their relationships. Enables AI agents to analyze text, discover key themes, find gaps in thinking, and explore semantic connections through graph-based text analysis.

RabbitMQ MCP server enabling AI agents to interact with RabbitMQ message brokers — publishing messages to queues and exchanges, consuming messages, managing queues and bindings, monitoring queue depth and consumer health, and integrating RabbitMQ's reliable message queuing into agent-driven event processing workflows.

Railway MCP server enabling AI agents to interact with Railway.app platform-as-a-service — managing deployments, querying project and service status, accessing deployment logs, managing environment variables, and integrating Railway's cloud deployment platform into agent-driven DevOps and deployment automation workflows.

Wazuh is the leading open-source SIEM, XDR, and security monitoring platform. Its REST API (v2, introduced in Wazuh 4.x) is a full-featured management and query interface running on the Wazuh manager node (default port 55000, HTTPS). The API covers five primary domains: security alerts (query, filter, aggregate by rule, severity, agent, time window), agent management (inventory, status, OS details, installed packages, network interfaces), rule and decoder management (read, add, enable/disable rules), compliance reporting (PCI-DSS, CIS, GDPR, HIPAA, NIST 800-53), and cluster management (node status, health, configuration). Authentication uses JWT tokens obtained by POST /security/user/authenticate with username/password (default expiry: 900 seconds / 15 minutes). Wazuh's query API supports rich filtering using q= parameter syntax (field:operator:value with AND/OR logic), enabling complex alert correlation queries. Security agents use the Wazuh API to build automated threat detection, SOC alert triage, incident investigation, compliance posture reporting, and response automation workflows without requiring direct Wazuh dashboard access.

Weather data API providing current conditions, forecasts up to 14 days, historical data, astronomy, time zone, and sports weather via a clean REST interface.

MCP server enabling AI agents to manage Xcode projects, build and test iOS/macOS apps, control iOS simulators, manage CocoaPods and Swift Package Manager dependencies, and perform archive exports.

MCP server monitoring the Azure Updates RSS feed to provide AI agents with the latest Microsoft Azure service announcements, preview releases, general availability milestones, and deprecation notices. Enables agents to stay current on Azure platform changes without manual monitoring.

MCP server providing 43 filesystem and process management tools for AI agents — covering file operations (read, write, copy, move, delete, search), directory management, process execution, and system interaction. A comprehensive local system automation toolkit for agent-driven file and process workflows.

BurpSuite MCP Server is a powerful Model Context Protocol (MCP) server implementation for BurpSuite, providing programmatic access to Burp's core functionalities.

Buttplug.io MCP server enabling AI agents to control intimate/haptic devices supported by the Buttplug.io open-source protocol — connecting to Bluetooth LE and other supported devices, controlling vibration patterns and intensity, and integrating haptic feedback into agent-driven interactive experiences.

MCP server providing CSS capabilities and tooling to AI agents. Enables agents to query CSS properties, validate CSS syntax, generate animations and transitions, access CSS pattern libraries, and provide styling guidance — supporting AI-assisted frontend development and design system workflows.

Local-first codebase intelligence tool that uses semantic code chunking (cAST algorithm), tree-sitter parsing, and multi-hop semantic search to analyze code repositories. Extracts architecture, patterns, and institutional knowledge from codebases. Supports semantic search, regex search, and LLM-powered code research across 30+ languages.

MCP server for Coolify — the open-source Heroku/Netlify/Vercel alternative for self-hosted application deployment. Enables AI agents to deploy applications, manage services, check deployment status, view logs, manage environment variables, and control self-hosted infrastructure through Coolify's management API.

FastMCP is an interactive AI-powered storytelling application that generates personalized adventure stories based on user themes using OpenAI GPT. It features a modern web interface and integrates with the Model Context Protocol (MCP) for seamless natural language interactions.

Google Search MCP server enabling AI agents to perform Google searches via Google Custom Search Engine API — executing web searches, retrieving Google search results with URLs and snippets, searching specific sites, and integrating Google's search engine into agent-driven research and information retrieval workflows.

Handler is an open-source A2A Protocol client and developer toolkit that provides a CLI and TUI for communicating with remote agents, an MCP server for bridging AI assistants into the A2A ecosystem, and agent card validation.

MCP server for Industrial IoT, SCADA and PLC systems, unifying MQTT sensors, Modbus devices, and industrial equipment into a single API.

Kubernetes MCP server enabling AI agents to interact with Kubernetes clusters — listing and querying pods, deployments, services, and namespaces, applying manifests, scaling workloads, reading logs, and integrating Kubernetes cluster management into DevOps agent workflows for infrastructure automation and observability.