"A server for finding information about message bus systems and architectures" matching MCP servers:

Provides systems thinking models as composable analysis lenses for architecture, infrastructure, DevOps, incident analysis, and technical decision-making.

Enables multiple coding agents (Claude Code, Codex, Cursor) to discover each other's sessions, search transcripts, ask questions, and handoff tasks through a shared MCP server.

Real-time push notifications and alert sounds free you from staring at the screen. While the AI works, you can comfortably enjoy a cup of coffee.

Enables AI agents from different frameworks to communicate asynchronously via a persistent SQLite-backed bus, with doorbell wakeups for sub-second notifications and full message history.

An MCP server that allows users to run and visualize systems models using the lethain:systems library, including capabilities to run model specifications and load systems documentation into the context window.

A local MCP server that connects AI coding agents (Claude Code, Codex, Cursor, etc.) on the same machine via a shared message bus, enabling them to chat, delegate tasks, and collaborate privately without cloud or internet.

MCP server for Raspberry Pi peripheral bus access, enabling AI agents to interact with CAN, I2C, SPI, UART, and GPIO directly through natural language.

Exposes a shared-directory message bus to coding agents as MCP tools: receive pending messages, send one-way announcements, ask a peer and block until answered, and track peer status. Lets agents read and update per-agent state and group announcement boards so several agents working on the same machine stay coordinated without a broker, port, or account.

Enables authenticated, explicit-text message exchange between independent clients through a durable queue with idempotent sends, replay-safe inbox reads, bounded conversations, pause/reset controls, and client-driven polling.

Enables AI clients to read and search macOS Messages history through a read-only MCP interface.

MCP wrapper for the agent-msg.sh file-based message bus, enabling MCP-compatible clients to send, receive, and manage inter-agent messages with bound identity and HMAC-signed payloads.

Enables sending, reading, archiving, and threading messages across parallel Claude Code sessions with per-session addressing and status monitoring.

Enables AI agents to delegate scoped tasks across multiple providers like Codex, Claude Code, and Antigravity through a single local MCP server, with quota monitoring, notifications, and remote control via messaging apps.

Enables coordination and communication between multiple Claude Code sessions across machines via a chat server, providing tools for sending messages, waiting for responses, and managing session status.

Enables AI agents to collaborate by exchanging messages through a local MCP-based bus for coordinating tasks and agent interactions.

Enables Claude Code sessions sharing a project root to broadcast short messages to each other via a JSONL mailbox, with sending as an MCP tool and receiving as a prompt hook.

Enables two-way communication between Claude Code and clew, allowing message passing and command execution via MCP tools or native peer mesh with auto-reply support.

Enables local, event-driven messaging between multiple AI coding-agent sessions on the same machine using only Node.js and the filesystem, allowing them to hand off tasks, exchange replies, and broadcast announcements without external infrastructure.

Enables multiple AI coding-agent sessions on one machine to hand tasks to each other and get results back through a shared local folder of JSON messages, with no cloud, database, or network service. Supports direct messages, broadcasts, blocking receive, and an optional headless worker that picks up, runs, and auto-replies to tasks.

Enables multiple local AI desktop applications to exchange MCP messages and collaborate through a shared JSONL room file, with role-based routing, history, and audit session tools.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

Enables AI agents to control a Playwright-driven browser through natural-language instructions, including page interaction and live browser task execution.

Runs a local, file-based toolkit of 100 systems engineering skills that lets an AI assistant clean and map requirements, review specifications against ECSS, derive sub-requirements, check interfaces and budgets, and build verification and compliance matrices. It works on documents in a user-chosen local folder without sending customer data to a remote service or requiring an account or API key.

Local MCP server for A-share stock trading via Tonghuashun, offering account/position queries, buy/sell/cancel orders with risk controls and forced user confirmation; currently simulated with a reserved interface for real broker channels.

Relays a result screenshot to Slack so you can review a coding agent's output without opening the app.

An MCP server for searching and downloading books from Library Genesis, supporting EPUB, MOBI, PDF, and more through natural language queries.

Provides a local MCP server for AI-powered web crawling on Windows, enabling agents to directly crawl and extract web content without requiring WSL.

Enables coding agents to add a bounded semantic-judgment layer for routing, ranking, extraction, verification, and escalation, returning typed signals and review recommendations.

Local, read-only MCP server that provides verified access to bounded.tools' signed static API, including the Web-Build Conformance report and SPDX SBOM, with byte-for-byte verification against a Sigstore-signed manifest.

A validation layer for AI coding assistants that enforces explicit LLM evaluations on plans, code diffs, and tests to ensure safer and higher-quality code.