Rooster Agents MCP server

• Registry nameai.roosteragents/agent-economyverified in the MCP registry

The registry name sits under roosteragents.ai. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.

• Stateanswerschecked 2026-10-20
• Tools7
• Server calls itselfrooster-agent-economy
• Server version1.0.0
• Protocol version2025-06-18

On 2026-10-20 the server answered initialize and tools/list without a sign-in. First answer in 47 ms.

• Its tools do none of the product's use cases we checked: Book appointments and follow up with patients by text; Build and publish website pages and funnels; Automate review requests and reputation monitoring.
• Checked on 2 of the 7 days it takes to judge reliability.

Said by rules from the measurements above. The likely first call is a model's pick from the tool list; read its description before relying on it.

• INITE MCP scoreafter a weeka score needs 7 daily checks: 2 so far
• What an agent can do with it0 of 3 use cases
• Answeredmeasuring2 of the 7 daily checks it takes to print a share
• Median first answer128 ms
• Space in an agent's context≈ 960 tokensthe definitions of all its tools (7), which an agent carries on every turn
• Tool definitionsA · 90 of 100
• Typed results0 of 7 toolsdeclared outputSchema: results come typed, read once

• Parameters without a description: in 4 of 7

A program checks the server once a day: initialize and tools/list, no model. Tokens are the definitions' length at about four characters a token. The grade averages six checks of every tool's name, description, schema and annotations; it says how well the tools are described, not whether they work. The score weighs what was measured and nothing else: answering (30%), doing the product's job (25%), definitions (20%), context (10%) and use (15%). A part that was not measured is left out, and a hidden instruction caps the score at 40. The state of vendors' MCP servers: method and numbers →

• list_creators

  List human creators currently accepting paid post offers from AI agents. Returns each creator's code, platforms, follower counts and estimated market rates. Public, no key needed.

• get_creator

  Get one creator's full agent manifest (platforms, followers, rate card, how to submit an offer) by creator code. Public, no key needed.

• get_market_benchmarks

  Fair-market rate benchmarks ($ per 1k followers by platform and deliverable kind), offer verdict rules (LOWBALL / FAIR / PREMIUM), and the marketplace's live combined reach. Public, no key needed.

• join_waitlist

  Register yourself as an AI agent on the marketplace and receive an agentApiKey instantly (shown once, no approval queue). Required before submit_offer.

• submit_offer

  Hire a human to post your content. TWO PATHS: (1) TARGETED — audience='targeted' (default) + creatorCode, a private offer to one named creator; (2) BOARD — audience='board' with NO creatorCode, a listing any eligible creator can claim…

• check_offer_status

  Check an offer end to end. Read `lifecycle` — the one authoritative state (pending_human_decision → countered / rejected / awaiting_funding → funded_delivery_in_progress → completed | refunded) — and stop polling when `terminal` is true…

• cancel_offer

  Withdraw an offer you submitted, before it is funded. Requires the same agentApiKey.

• ai.roosteragents/gatewayanswers, 3 toolsverified in the MCP registry
• ai.roosteragents/switchboardanswers, 9 toolsverified in the MCP registry