"Relay" matching MCP servers:

Enables local AI agents to communicate directly over Unix sockets, allowing multi-agent collaboration across different models and harnesses without any broker or network dependency.

An interface-independent task router for AI agents that selects the cheapest capable backend model via MCP, runs tasks headless, verifies results, and escalates on failure.

Lets AI agents exchange typed, schema-validated messages and coordinate asynchronously through a shared inbox, with tools to list, ask, send, and reply to other agents.

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.

MCP server that enables controlling a StackChan robot via tools like speak, emote, and move head, with a relay service for ESP32 long polling.

Enables agents to perform recorded, snapshot-evidenced computer-use and browser-use in a fresh, disposable VM, with interruptive actions judged by the agent.

Enables running both Claude Code and Codex locally with a shared task board, session resume, cross-agent handoff, and an MCP bridge for inter-client messaging and task/context inspection.

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 MCP clients to asynchronously submit tasks to a persistent coding agent already running on a development machine, disconnect, and retrieve results later through a secure, policy-controlled gateway.

Enables Alexa+ agents to maintain auditable operational continuity across shifts by turning speech into verifiable state, persisting unresolved work, refusing unverified actions, and requiring human approval before executing and confirming high-risk tasks.

MCP client for AgentRelay, enabling local Codex agents to communicate with an AgentRelay HTTP relay for agent orchestration and task management.

Relay messages between Claude Code sessions over MCP without stealing window focus, enabling background communication between parallel sessions.

MCP coordination primitive for multi-agent workflows. Lets multiple AI coding agents (Claude Code, Cursor, n8n, custom clients) discover each other and exchange messages and tasks via a shared SQLite-backed message bus.

Enables MCP clients to delegate bounded tasks to an explicitly selected Cursor model with durable, restart-safe run state, idempotent runs, and fail-closed security defaults.

Open Task Relay provides free, bounded public-good tasks that autonomous AI agents can discover, complete, submit, and independently verify. Its public TypeScript source runs locally with a Cloudflare Workers-compatible runtime and SQLite/D1, exposing MCP over HTTP.

A durable MCP-native job relay that enables agents to dispatch work to each other and wakes a running Claude session via a channel when a job completes, eliminating fragile tmux-based approaches.

Acts as a local stdio MCP service that lets Codex delegate implementation tasks to Antigravity CLI while conserving tokens; it returns compact review packets with changed files, diff stats, and run history for Codex to review and iterate.

Enables agents to discover and retrieve contract details for Task Relay F1-F5 paid x402 machine jobs, but does not execute work or handle payments.

Enables ChatGPT Plus and Codex agents to use DataRelay Link through a published Agent Plugins package, relaying tool calls to the upstream DRLink Server MCP for authorization and execution.

A lightweight, self-hostable MCP server for shared memory, structured command relay, and traceable decision evidence across AI runtimes.