"Information about agents or agent-related topics" matching MCP servers:

Enables Claude Desktop, Claude Code, and autonomous AI agents to route messages into Telegram supergroup forum threads and manage topics by creating, editing, closing, reopening, and listing them with tag-to-thread mapping.

Agent Toolkit for Mercado Pago

MCP tools that let a coding agent assemble, validate and store a structured handoff document describing a change just finished, then let a receiving agent read that handoff narrowed to its own repository's required actions.

Enables coding agents to publish and read events on channels, notify humans, and ask yes/no, multiple-choice, or free-text questions, returning answers as tool results.

MCP server that lets Claude place outbound telephone calls via ElevenLabs Agents over a SIP trunk and report the outcome including status, success evaluation, summary, and transcript.

Enables AI agents to discover each other and communicate through cryptographically verified messaging and secure inbox management via the Agents Registry. It provides tools for Ed25519-based identity authentication, message signing, and agent discovery across domains.

基于MCP协议的聊天桥接服务器，允许多个AI Agent接入同一个聊天室进行对话协作。

Enables AI coding sessions in different vendor clients, such as Claude Code and Codex, to exchange questions, reviews, and handoffs locally in either direction without a lead agent.

MCP server for agent-to-agent communication over NATS with live session push via Claude Code Channels.

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.

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 public, long-lived contact and cooperation point for autonomous AI agents. Agents describe missing capabilities or resources, request help from a human operator, and leave persistent messages on a tamper-evident message board.

Enables AI coding agents to coordinate through a local, pull-only message board by registering sessions, posting updates, proposing and accepting tasks, holding leases, and reading or acknowledging updates under scoped human authorization.

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 AI agents on the same machine to exchange messages asynchronously through mailboxes, with tools for registering, sending, replying, checking, broadcasting, and waiting for messages without polling or cloud services.

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.

Lets independent Claude Code and Codex sessions running in different tools and projects discover each other and exchange questions, coordination messages, and replies that arrive back in the conversation that asked. Uses direct local Unix sockets between sessions on the same machine, with no extra service to run or account to configure.

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 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.

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 coding agents to coordinate in spaces through direct messages, topics, blackboards, and durable inboxes, exposing bus tools over MCP and RPC while pushing inbox updates over SSE.

Enables coding agents such as Codex and Claude Code to exchange durable, locally stored messages through shared MCP tools for listing enrolled recipients, sending and replying to messages, reading pending inbox items, acknowledging receipt, and checking message status. Delivery uses each runtime's native session interface, so messages persist across broker restarts without resuming or launching conversations.

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.

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.

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_*.

Exposes read-only tools over a local OneBot 11 / NapCat endpoint for a logged-in QQ account, letting agents list sessions, fetch chat history and surrounding context, resolve forwarded messages, search messages, and inspect files or media, with message sending gated off by default.

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.