"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.

Enables AI agents to operate a US power-grid data pipeline – ingest, plan, run, and monitor datasets like CAISO, ERCOT, and EIA-930 through MCP tools that mirror the CLI.

A keyboard-first API client that stores requests and environments as plain files, and exposes its workspace over MCP so agents can browse, send, and create requests with vault access.

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.

Enables AI to delegate boilerplate, drafts, tests, and refactors to free LLM providers, saving tokens and running tasks in parallel.

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.

Enables MCP clients to drive Relay, an AI support-triage agent, by exposing tools for customer lookup, documentation search, ticket classification, reply, and escalation, with full guardrails and read-only mode option.

Enables explicit, auditable project-context handoffs between ChatGPT Work and Codex through nine MCP tools for upserting projects, creating handoffs and checkpoints, and retrieving project context and history.

Enables AI agents to access a unified catalog of tools from various APIs (OpenAPI, GraphQL, MCP, Google Discovery) through the MCP protocol.

Enables separate Claude Code sessions across a team to see teammates' live presence, warn before editing a file someone else is editing, route shared-contract changes to the developers whose code depends on them, and produce structured handoffs when a session ends.

A single MCP server with 40 tools across 7 categories - PM, Research, Brand, UX, GTM, File, and Web. Built in Go, zero dependencies, one binary. Handles file operations, web fetching, screenshots, search, and planning workflows through one MCP connection.

Enables explainable household replanning by generating reviewable schedule proposals from constraint solving, with transactional MCP tools for retrieving state, proposing changes, committing approved plans, and undoing previous plans.

Adds a human-in-the-loop checkpoint to MCP-capable AI coding agents, enabling them to pause and request user feedback before executing actions.

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.

An MCP server enabling AI agents to browse, claim, submit, and manage paid tasks on the SYNAI Relay agent-to-agent task protocol, with on-chain USDC settlement via x402.

Self-hosted session relay for Claude enabling shared message threads across multiple Claude surfaces like Code, Chat, and Cowork, allowing seamless state transfer without manual copy-paste.

MCP server for controlling ATtiny85 USB relay devices via serial break signals. Enables listing, turning on/off, and renaming relays.

A message relay MCP server enabling two separate Claude Code instances to exchange direct questions and answers asynchronously without sharing context.

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

High-performance Model Context Protocol (MCP) server connecting Claude Code and AI agents to Google Gemini 3.8 Flash, Gemini 3.1 Pro, reasoning effort, and image generation.