"A tool similar to Cursor with agent-based functionalities" matching MCP servers:

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

Enables AI agents to access user and message data through MCP resources, providing REST API integration for user management with paginated lists and thread tracking.

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.

Enables AI assistants to read, search, draft, and send email with attachments over IMAP/SMTP, keeping passwords in the OS keyring and gating outgoing mail on user approval for CMMC Level 2 environments.

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.

An MCP server that enables AI agents to pause and request human approval or information via Slack, Telegram, or macOS dialogs before proceeding with actions.

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

Provides over 1,000 creative ways to decline requests across four categories (polite, humorous, professional, and creative). The MCP server wraps a REST API to help users craft professional rejections through natural language interactions.

Connects AI agents to anonymous strangers for asking and answering questions in character.

Enables Claude to research HubSpot accounts, draft property updates, notes, and owner tasks, and request a human decision tied to the exact proposed change. Approved changes can be applied only after a signed click, with guardrails, retries, and an audit trail.

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

Lets a human review what an AI agent is about to post to a chat tool (Slack first) before it is sent. Renders the draft, destination and warnings (@here/@channel, unresolved mentions, format issues) in a neutral local HTML preview; never sends anything.

Bridges Discord channels to Cursor's headless agent, enabling always-on Discord MCP interactions on a server.

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

Enables Claude Code, Codex CLI and Antigravity (Gemini) agents to exchange messages that are pushed live into each other's open sessions, with mail_send, mail_check and mail_peers tools so no agent has to poll. Mail can also be bridged over SSH between machines with no shared filesystem.

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

Enables coding agents to send files and notes into approved Zas channels and read items back, with content encrypted before leaving the machine and scoped, revocable agent access.

A Model Context Protocol (MCP) server for Discord-based AI agent-user communication. Enables AI agents to communicate with users through Discord instead of IDE chat interfaces.

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.

Enables local AI sessions on the same machine to exchange messages through a hub using register, send, check, wait, and who tools, with an optional browser-based live log viewer.

Enables an agent to hand a prepared natural-language task from its current conversation to a specified chat in a real client, then wait for and verify the recipient's actual accept, refuse, or clarification reply. Provides tools to locate or reuse a recipient conversation, stage and preview the transfer, supplement missing information, and report the genuine receipt back in the source chat while keeping all records in a local SQLite store.

agent-mq is a message queue that enables AI coding agents to communicate with each other across sessions and machines. Agents can send messages, delegate tasks, and coordinate work — all through MCP tools. Supports Claude Code, Cursor, Codex, OpenClaw, and any MCP-compatible tool. UUID-based authentication with per-user data isolation. Self-hostable with Docker.

Enables local agent-to-agent messaging between Claude Code sessions via file-based channels, with a registry, MCP tools and CLI for sending, reading, and tracking messages.

Enables AI agent sessions to read, search, and post durable messages to a private local JSON-file message board, letting them share preferences, lessons, warnings, questions, and replies without a cloud service or database.

Enables multiple MCP-connected AI agents to talk to each other in local, owner-controlled message rooms where each agent has its own identity for reading, posting, replying, and tracking unread messages. A browser UI lets the operator watch conversations live, create rooms, manage per-agent access, and step in as themselves without any cloud service or API keys.

Enables agents to read and sign a shared guestbook, with tools for viewing entries, statistics, and adding signatures.

Lets AI coding agents delegate work to each other through a shared broker: each agent can list peers and unread counts, send typed messages tied to a task id (questions, review requests, decisions), and read and clear its own inbox. Every exchange is recorded in an audit trail filterable by task, so parallel agents leave a reviewable record of who asked whom for what.

MCP server that enables AI agents on different machines to communicate and collaborate directly through relay channels, supporting structured agent contracts, real-time messaging, and human-in-the-loop approval workflows.

Enables AI agents from different companies to share research, reply in typed threads, draft proposals, and vote with rationales on decisions. Humans then ratify the winning proposals in a local dashboard, which writes versioned decision records into the chosen project's repository.

Enables any agent to send a message by name into a live chat or another agent's conversation, and to receive replies by long-polling an inbox cursor that yields each message exactly once, in order, in roughly a tenth of a second. Also lets agents discover reachable chats, threads, and registered agents, with unresolvable names optionally routed to a relay agent for delivery.

Enables team members' personal AI agents to exchange tasks, questions, decisions, and deliveries over MCP with identity, policy, and audit, using Slack as a shared visibility record.

Enables AI coding agents running in separate apps to exchange messages, tasks, presence, and context through shared rooms, direct threads, and webhook wake-ups. A human owner stays in control by approving proposed plans before execution and reviewing posted results, with safety limits on agent-to-agent chatter.

A NATS-backed mailbox for local LLM agents. Provides a simple way for AI coding agents to message and notify each other via a hostable MCP server.

Enables two coding agents on separate machines to communicate directly via a private git repo, with end-to-end encryption and no server required. Provides tools for joining rooms, sending/receiving messages, and managing side channels.

A local MCP relay that enables two or more MCP-speaking agent CLIs to communicate through shared channels by posting and reading messages.

Enables AI agents to send notifications to a unified feed, report activity, request input from humans, and manage notification state through MCP tools.

Enables AI coding agents to communicate with each other through a shared Slack channel, with signed messages, an auditable transcript, and human oversight.

A Model Context Protocol server providing file search and question tools for AI models. Enables keyword search in files with line numbers and integration with external chat services.

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