relay

relay

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.

Category
Visit Server

README

relay

CI Release Catalog freshness License: Apache-2.0 Homebrew

The interface-independent task router for AI agents.

Hand relay a task in plain English — from your terminal, or from any agent that speaks MCP (Cursor, Claude Code, Codex). A shareable directive (router.yaml) picks the cheapest-and-fastest capable backend + model, relay runs it headless in your repo, verifies the result, escalates only when verification fails, and prints a receipt for what it saved you.

relay "fix the flaky retry test in src/api"
# → lane: quickfix · grok-4.5 · verify: lint+test ✓ · changes staged
# → relay: ~$1.84 saved (grok-4.5 vs fable-5-high) [estimated]

60-second install

# Homebrew (recommended)
brew install yoreai/tap/relay

# or curl
curl -fsSL https://raw.githubusercontent.com/yoreai/relay/main/scripts/install.sh | bash

From source (Bun required):

git clone git@github.com:yoreai/relay.git && cd relay
bun install
bun run src/cli.ts doctor

Quick use

relay setup                         # register relay as an MCP tool in Cursor/Claude Code
relay init                          # write ~/.config/relay/router.yaml
relay doctor                        # backends found? tier resolution on this machine?
relay "fix the flaky retry test"   # route → run → verify → receipt
relay --dry-run "review auth.ts"    # see routing without running
relay -i                            # interactive REPL
relay savings --by-lane
relay update                        # refresh the model catalog (facts, not policy)
relay advise                        # cheaper same-class models for your tiers
relay advise --apply                # accept the suggestions into router.yaml

MCP (Cursor / Claude Code)

relay mcp serve

Cursor — add to .cursor/mcp.json (or global MCP config):

{
  "mcpServers": {
    "relay": {
      "command": "relay",
      "args": ["mcp", "serve"]
    }
  }
}

Claude Code — add to MCP settings:

{
  "mcpServers": {
    "relay": {
      "command": "relay",
      "args": ["mcp", "serve"]
    }
  }
}

Tools: relay_run, relay_status, relay_savings.

Make your agent actually delegate. Registering the tool isn't enough — agents keep doing everything themselves unless told otherwise. Add this to your repo's AGENTS.md (or CLAUDE.md):

## Delegation policy
For mechanical subtasks — bulk edits, renames, test fixes, log/status summaries,
lint cleanups — call the `relay_run` MCP tool with a curated brief instead of
doing them inline. Reserve your own context for design, review, and hard debugging.

That single paragraph is where most of the savings come from.

How it works

  1. Directive — versioned router.yaml maps lanes → capability tiers → concrete models. Each tier is an ordered fallback list: the first candidate whose backend CLI is installed wins, so a claude-only (or cursor-only) machine routes every tier with zero config. relay doctor shows exactly where each tier lands on your machine.
  2. Route — rules-first (verbs, file hints, walkaway); default lane if unsure
  3. Run — headless cursor-agent, claude, or codex in your working tree (experimental adapters: gemini, grok, kimi)
  4. Verify → widen → escalate — thin briefs that self-heal before spending frontier tokens
  5. Receipt — honest savings vs your baseline (measured when the backend reports usage, estimated from bytes for Cursor until its CLI emits tokens)

Git is the review surface: edits land staged by default (or in a worktree → draft PR for walkaway/build lanes). Relay never commits unless a lane says so.

The directive

Repo ./router.yaml or .relay/router.yaml overrides ~/.config/relay/router.yaml. People share directives, not tribal knowledge. See defaults/router.yaml and PLAN.md for the full schema.

Staying current (facts vs policy)

The model market moves; a routing table nobody looks at silently overpays. Relay splits this:

  • Factsdefaults/catalog.yaml: which models exist, prices, and a quality class per model (nano → cheap → workhorse → opus-class → frontier). relay update fetches the latest catalog; a scheduled CI job keeps the repo copy honest (it fails red when the catalog goes 45 days without review).
  • Policy — your router.yaml. Relay never rewrites it behind your back. relay advise diffs your tiers against the catalog and proposes swaps within the same quality class (e.g. a frontier-class model at a tenth the price), citing your own local verify-success rates as evidence. relay advise --apply accepts — as a visible, git-diffable edit.

Roadmap

  • Verify gemini/grok/kimi adapter flags against real installs (codex is verified)
  • Success-rate-aware advise (already logs verify results per model)
  • Frankie adapter as a separate plugin package
  • Windows, npm SDK

Status

v0.3.0 — CLI + MCP + cursor/claude backends with per-tier fallback + verify/escalate + receipts + model catalog with update/advise + one-command agent setup.

Not v1 yet: Windows, npm SDK, Codex backend, Frankie adapter (planned as a separate plugin).

License

Apache-2.0 © YoreAI / yoreai

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured