"Techniques to Improve Agent Programming" 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 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.

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.

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 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.

Enables AI coding sessions across multiple agent CLIs to share one identity and inbox, hand off tasks, send encrypted files and conversation transcripts, publish living documents, and coordinate approvals through hooks and MCP tools.

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 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_*.

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.