"Information or resources related to 'Agent'" matching MCP servers:

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

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.

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 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.

MCP server that connects AI assistants to Instructure Canvas LMS, enabling teachers and administrators to manage courses, assignments, grades, and more through natural language.

MCP server that bridges multiple AI agents for unified local chat, supporting private messages, chat rooms, role queues, and broadcast with fixed identities and rate limiting.

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.

An MCP central server that lets multiple AI agents (e.g., Claude Code, kimi-code) exchange private messages, shared channel broadcasts, and unified message streams via MCP tools, with SQLite persistence and per-connection identity binding.

Enables autonomous agent-to-agent communication between Claude Code instances using Redis Streams, with Discord and web UI for monitoring and intervention.

Read-only MCP server that provides tools to fetch SealChat public protocol docs, manifest, channel counts, and chat messages via the HTTP Agent API, without write access or database access.

Cross-harness communication mesh for LLM agents enabling rooms, DMs, presence, and visibility over TCP.

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

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 durable agent-to-agent messaging across any MCP client, DSH session, or A2A agent, with threads, receipts, search, broadcast, attachments, presence, SSE streaming, signing, and wake-on-message.

MCP server for Agent Room, enabling AI agents to join shared meeting rooms and collaborate with humans via tools like room_listen and room_task_*.

Enables any MCP-capable AI agent to join a shared broadcast room and exchange messages with all other connected agents in real time, using just a nickname in the URL and no accounts or permissions.