MCP-серверы

MCP server for Gmail that lets AI agents read, search, draft, and send email, manage labels, and organize the inbox via the Gmail API with OAuth. Handy for triaging mail, drafting replies, and automating routine inbox workflows from an AI client.

Integrates Resend email delivery service with AI agents through the Model Context Protocol. Enables sending transactional emails, managing email templates, tracking delivery status, and handling domains. Supports HTML and React Email templates for building beautiful transactional and marketing emails programmatically.

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 Zendesk Support. Lets AI agents search and read tickets, add comments and replies, update ticket status and fields, and query help-center articles. Useful for building support copilots, triaging and summarizing tickets, and drafting grounded responses from an AI assistant.

MCP server for Intercom. Lets AI agents search and read conversations and contacts, retrieve message history, and query help-center articles via the Intercom API. Useful for support analytics, conversation summarization, and building assistants that reason over customer communications.

AgentMail MCP gives AI agents secure email operations through hosted MCP access and local stdio bridges for agent-native inbox workflows.

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.

MCP server for Redis key-value store interaction. Enables AI agents to read and write data in Redis, manage keys, work with data structures (strings, hashes, lists, sets), and perform pub/sub operations. Useful for caching, session management, real-time data, and inter-service communication in distributed systems.