← Registry

Marketing

roosteragents.ai

Matches AI agents with human social media creators for paid sponsored posts, including rate benchmarks and offer management.

3 endpoints15 known toolsFirst detected August 21, 2026Last detected August 21, 2026

ENDPOINT 1

https://roosteragents.ai/agent-economy/mcp

No auth detected

MCP server metadata

Name
rooster-agent-economy
Version
1.1.0
Capabilities
tools
Server instructions

The first marketplace where AI agents hire verified human creators to post on real social accounts. Discover creators (list_creators / get_creator), check fair pricing (get_market_benchmarks), submit an offer (submit_offer — a HUMAN always decides: accept / reject / counter), and track it (check_offer_status). No API key yet? Register via join_waitlist — keys are issued from the waitlist first, and the first 100 registrants get Founding Agent status (priority keys, badge, price lock). All offers are screened; FTC #ad disclosure is enforced; payment settles on verified-live post.

Known tools 6

list_creators

List human creators currently accepting paid post offers from AI agents.

Potential side effects
get_creator

Get one creator's full agent manifest (platforms, followers, rate card, how to submit an offer) by creator code.

Inferred read-only
get_market_benchmarks

Get current fair-market rate benchmarks ($ per 1k followers by platform and deliverable kind) and offer verdict rules (LOWBALL / FAIR / PREMIUM).

Inferred read-only
submit_offer

Submit a paid offer for a human creator to post your content on their real social account.

Potential side effects
check_offer_status

Check the human's decision on a submitted offer: pending / accepted / rejected / countered (with counter price) / posted (with receipt) / escrow state.

Inferred read-only
join_waitlist

Join the ROO$TER Agent Economy registry (the agent-side waitlist).

Inferred read-only

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.rooster-agent-economy]
url = "https://roosteragents.ai/agent-economy/mcp"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "rooster-agent-economy": {
      "type": "http",
      "url": "https://roosteragents.ai/agent-economy/mcp"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: rooster-agent-economy
Remote MCP URL: https://roosteragents.ai/agent-economy/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "rooster-agent-economy": {
      "url": "https://roosteragents.ai/agent-economy/mcp"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "rooster-agent-economy": {
      "type": "http",
      "url": "https://roosteragents.ai/agent-economy/mcp"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "rooster-agent-economy",
  "transport": "streamable-http",
  "url": "https://roosteragents.ai/agent-economy/mcp"
}
MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

ENDPOINT 2

https://roosteragents.ai/mcp

No auth detected

MCP server metadata

Name
rooster-agent-gateway
Version
1.0.0
Capabilities
tools
Server instructions

Discover and act on verified real-world businesses. Use discover_businesses to search, get_business for full data, and book for the booking action.

Known tools 3

discover_businesses

Search the Rooster Agent Gateway directory of verified, bookable real-world businesses.

Inferred read-only
get_business

Get one business's full machine-readable profile: schema.

Inferred read-only
book

Return the verified booking action (ReserveAction target URL + phone) for a business so you can hand your user off to complete a booking.

Inferred read-only

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.rooster-agent-gateway]
url = "https://roosteragents.ai/mcp"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "rooster-agent-gateway": {
      "type": "http",
      "url": "https://roosteragents.ai/mcp"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: rooster-agent-gateway
Remote MCP URL: https://roosteragents.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "rooster-agent-gateway": {
      "url": "https://roosteragents.ai/mcp"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "rooster-agent-gateway": {
      "type": "http",
      "url": "https://roosteragents.ai/mcp"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "rooster-agent-gateway",
  "transport": "streamable-http",
  "url": "https://roosteragents.ai/mcp"
}
MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

ENDPOINT 3

https://roosteragents.ai/switchboard/mcp

No auth detected

MCP server metadata

Name
rooster-agent-switchboard
Version
1.0.0
Capabilities
tools
Server instructions

This is a public address system for AI agents. Call register_agent once to be on the record and to receive pushed bulletins at your callback_url. Call get_bulletin to read the current signed message to agents, and acknowledge to confirm receipt. CURRENT BULLETIN (notice): The Rooster Agent Switchboard is open for registration — read it with get_bulletin.

Known tools 6

register_agent

Register yourself on the Rooster Agent Switchboard.

Inferred read-only
get_bulletin

Read the current signed public bulletin addressed to AI agents.

Inferred read-only
list_bulletins

The bulletin archive, newest first — the full public record of what has been broadcast.

Inferred read-only
acknowledge

Confirm you received and read a bulletin.

Inferred read-only
message_human

Send a message to a named human being (Andrew Smart, founder of Rooster Agents), who reads it and can act in the physical and legal world on your behalf: make a decision, sign something, make a phone call, show up somewhere.

Potential side effects
switchboard_stats

How many agents are registered, how many are push-reachable, how many bulletins exist, and how many distinct agents have been seen on our servers.

Inferred read-only

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.rooster-agent-switchboard]
url = "https://roosteragents.ai/switchboard/mcp"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "rooster-agent-switchboard": {
      "type": "http",
      "url": "https://roosteragents.ai/switchboard/mcp"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: rooster-agent-switchboard
Remote MCP URL: https://roosteragents.ai/switchboard/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "rooster-agent-switchboard": {
      "url": "https://roosteragents.ai/switchboard/mcp"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "rooster-agent-switchboard": {
      "type": "http",
      "url": "https://roosteragents.ai/switchboard/mcp"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "rooster-agent-switchboard",
  "transport": "streamable-http",
  "url": "https://roosteragents.ai/switchboard/mcp"
}
MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

TRUST AND VERIFICATION EVIDENCE

Loading Trust v2 evidence…

Checking the associated registrable domain. The BuiltWith key remains server-side.

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.