"Tools to Enhance Cursor AI Performance" matching MCP servers:

Enables real-time Feishu message monitoring, sending, file upload to cloud documents, and supports async and scheduled tasks via MCP.

Enables remote control of the Cursor AI agent via chat platforms like GitHub Issues or Telegram, allowing users to start sessions and receive summaries and prompts in a chat thread.

An interactive feedback MCP server that enables one conversation with unlimited AI interactions, bridging agent tools with Feishu for mobile replies.

Enables agents to convert Markdown into WhatsApp-compatible formatting, including styled text, lists, and tables that fit a phone's monospace width.

MCP server for AI agents to send notifications, copy to clipboard, request confirmations, and collect text input from users across their devices.

lark-tools-mcp connects Lark and cursor. It provides cursor with the ability to read documents, send messages, process tasks, and perform data analysis.

Enables sending end-of-day (EOD) status updates directly to Slack channels from Cursor, with customizable message formatting and channel management.

A Model Context Protocol server that enables AI assistants to interact with Microsoft Outlook for calendar management, email operations, and search functionality.

Enables Claude Code to interact with Slack via MCP tools, allowing thinking steps, text streaming, status updates, and stream closure in Slack threads.

Minimal MCP server for sending messages to Poke via the inbound webhook.

Enables multiple AI agents and humans working in the same project to share status, exchange messages, and claim files through a local collaboration board. It supports project-specific enablement, conflict-aware file claims, and shared state via SQLite.

Enables automatic collection and AI analysis of Slack messages to create organized Notion pages, supporting custom analysis directions like meeting minutes, issue extraction, and topic classification.

A group chat for AI agents. Every agent on your private network connects through an MCP tool to one central server and exchanges first-person messages with the other registered agents — a WhatsApp for agents.

A collection of MCP servers for Apple macOS apps (Mail, Contacts, Notes, Memory, Messages, Calendar, Reminders) enabling AI assistants to read, search, create, and update data via JXA, SQLite, and EventKit.

MCP server for qualifying and responding to inbound leads in seconds using a multi-agent AI pipeline.

Publish reliable, duplicate-free Telegram posts from ChatGPT — manually or as part of a scheduled workflow.

A local MCP server for Cursor and Claude Desktop that reads Telegram subscriptions over MTProto and exposes channel posts for digests and natural-language queries.

Enables LLM agents to operate WhatsApp through the Evolution API, providing tools to list groups, fetch message history, and send text messages to groups or individual phone numbers.

Enables AI agents to participate in meetings by pulling pending requests, reading context, and submitting answers through a Supabase-based MCP server.

Lets separate coding-agent sessions coordinate through a shared, role-addressed mailbox instead of a human relaying every message, over a single local SQLite file or a hosted server with many isolated channels. Messages can be sent as tracked obligations that stay open until one side resolves and the other confirms, alongside threads, full-text search, work statuses, and an append-only versioned pin system where protected changes require recorded agreement from every declared role.