MCP Servers
The open registry for Model Context Protocol servers. Find the right tools, resources, and prompts for your AI agents — filtered by category, transport, or use case.
Servers
187
Tools
493
Categories
11
Contributors
164
A collection of Apple-native tools exposed through the Model Context Protocol, letting AI assistants work with built-in macOS apps. Provides access to Messages, Notes, Contacts, Calendar, Reminders, Mail, and Maps so agents can send messages, create notes and events, and look up contacts directly on a Mac.
Integrates Twilio communication APIs with AI agents through the Model Context Protocol. Enables sending SMS messages, making voice calls, managing phone numbers, and querying message history. Supports programmable messaging, conversation management, and webhook configuration for real-time communication workflows.
MCP server for the Telegram Bot API. Lets AI agents send messages, deliver files and photos, and read updates from chats and channels through a bot, enabling notifications and conversational workflows from AI-powered tools.
Provides access to the Slack API through the Model Context Protocol. Enables AI agents to read and send messages, manage channels, search conversation history, and interact with Slack workspaces. Supports listing channels, reading threads, posting messages, and adding reactions programmatically. Originally maintained by Anthropic, now maintained by Zencoder.
A Model Context Protocol server for Apache Kafka implemented in Go. Lets AI assistants inspect clusters, list and describe topics and consumer groups, produce test messages, and consume recent records, making it easier to debug and operate event-streaming pipelines from natural language.
A Model Context Protocol server that enables AI agents to interact with Discord through a bot. Agents can send and read messages in channels, list servers and channels, and manage basic server interactions while keeping the user in control. Useful for community automation, notifications, and conversational workflows on Discord.
Community MCP server that connects a personal WhatsApp account to AI assistants. Using the WhatsApp multi-device web API, it lets agents search and read your messages and contacts and send messages, including media. Messages are stored locally in SQLite and only shared with the model when the agent accesses them through tools, keeping data on your machine.
Skills vs MCP servers
what’s the difference?Skillsthe “what to do”
A skill packages know-how — instructions, an example prompt, and recommended models — so an agent performs a task consistently. Skills add knowledge, not new connections.
MCP serversthe “how to connect”
An MCP server gives an agent new capabilities by connecting it to real systems (databases, APIs, files) over a transport. MCP adds connections and actions, not task instructions.
Rule of thumb: reach for a skill when you need the model to do a task well, and an MCP server when you need it to reach a tool or system. They compose — a skill can rely on tools an MCP server provides.
Built an MCP server?
Submit it to the registry — it’s open source and community-maintained.