"Bun" matching MCP servers:

Local Model Context Protocol (MCP) stdio server built with the official TypeScript SDK for discovering coding agents, requesting work, messaging, and tracking handoffs through a local Scout broker. Requires Bun 1.3+ and scout setup; the root README now documents MCP client configuration, tools, and direct implementation/test links (PR #28), for high-trust local developer pilots.

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 cross-category e-commerce product bundle pricing optimization to maximize average order value, providing deterministic, zero-dependency execution for autonomous agent workflows.

A Bun-based gateway that provides self-describing, discoverable APIs for AI agents, restoring the hypermedia pattern of the web. It allows agents to autonomously explore and understand API surfaces through MCP protocol.

Provides AI agents with persistent memory and knowledge management through a comprehensive knowledge graph platform. Enables storing, searching, and managing entities, relationships, and observations with advanced features like trending analysis and smart ranking.

Enables durable, least-privilege handoff of bounded tasks from a local producer to a configured MCP worker, with atomic claim, complete, and fail operations under expiring leases.

Enables autonomous agents and MCP-compliant clients to optimize cross-category e-commerce product bundle pricing for maximum average order value (AOV) using deterministic, zero-dependency Python execution.

Enforces GINIALTECH project conventions and protects critical files while providing project context to AI agents. It ensures adherence to specific language requirements and the use of Bun as the exclusive package manager.

A self-hosted blog for one person, with an MCP server so an AI agent can write and publish to it. One Bun process, two SQLite files, no cloud account in the path.

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

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 Claude to discover new Solana meme tokens, assess their risk, inspect on-chain positions, and prepare or optionally execute buy/sell transactions under configurable spend and risk guardrails. It also logs plans and trades to Google Sheets for review.

Enables AI agents to interact with the Execute.run bot API for managing Shell balances, transferring funds, and executing LLM requests. It provides tools for identity verification, transaction tracking, and performing compute tasks through the Execute.run platform.

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 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.

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.

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.

MCP server that provides a live coordination layer for AI agents, including attributable handoffs, a shared event ledger, atomic work-claiming, and advisory file leases to prevent collisions.

Provides emergency coding assistance by querying three AI coding models simultaneously through OpenRouter, with automatic premium fallback on rate limits, returning multiple expert opinions with cost and latency telemetry for debugging and problem-solving.