Agent Broker - SMB Transaction & Communication MCP Server

An agent-callable MCP server that lets autonomous AI agents find, verify, message, schedule with, and transact with small and mid-sized businesses (SMBs) through a single compliance-enforced tool surface.

Live endpoint: https://hatchloop.dev/mcp/agent-broker (streamable-http, always-on Cloudflare edge)

Why this exists

There are ~60 million long-tail small businesses in the US - barbers, plumbers, accountants, home cleaners - and they have no API surface. AI agents that need to schedule a haircut, get a quote, or send a confirmation today must either drive a browser, cold-call by voice, or give up.

This server is the missing middle layer. Agents call us; we route to the right SMB through whichever channel reaches them fastest - Cal.com -> WhatsApp -> SMS -> voice AI -> email - with full TCPA / GDPR / CASL / 10DLC compliance enforced as a non-bypassable gate.

Current status (honest)

The MCP server is live and callable right now. Bookings hit demo data. 8 utility tools are free (no key, unmetered). Premium data tools (verify_company_record, screen_sanctions, map_trade_restriction) are free up to a daily limit; beyond that, $0.02/call via credits or x402. Write tools require a free email-verified key (100 ops/day) - get one at https://hatchloop.dev/agent-broker. Credit packages from $9/1,000 credits at https://hatchloop.dev/pricing.

20 MCP Tools

All tools are callable via MCP, REST, OpenAI function calling, Anthropic tool_use, or A2A protocol.

Free key (100 write ops/day + 500 premium data calls/day): https://hatchloop.dev/agent-broker - Credits from $9/1,000 ops: https://hatchloop.dev/pricing - Premium data beyond quota: $0.02/call

Quick start

Connect via MCP (Claude Desktop, Cursor, Cline, Continue, etc.)

{
  "mcpServers": {
    "agent-broker": {
      "url": "https://hatchloop.dev/mcp/agent-broker"
    }
  }
}

12 tools require no key (find_business, verify_business, verify_company_record, screen_sanctions, map_trade_restriction, check_booking_link, check_compliance, get_conversation, get_status, get_outcome, preview_cost, self_test).

Write tools require an X-Agent-Identity bearer token:

• Free email-verified key (100 ops/day): https://hatchloop.dev/agent-broker
• Credits from $9/1,000 ops: https://hatchloop.dev/pricing

Add your key to the config once you have one:

{
  "mcpServers": {
    "agent-broker": {
      "url": "https://hatchloop.dev/mcp/agent-broker",
      "headers": {
        "X-Agent-Identity": "Bearer YOUR_KEY_HERE"
      }
    }
  }
}

Or via npx (stdio transport)

npx agentbroker-mcp

With a key:

AGENT_BROKER_KEY=your_key npx agentbroker-mcp

Discover tools (JSON-RPC)

curl -X POST https://hatchloop.dev/mcp/agent-broker \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/list","params":{}}'

Call a tool (JSON-RPC)

curl -X POST https://hatchloop.dev/mcp/agent-broker \
  -H "Content-Type: application/json" \
  -d '{
    "jsonrpc": "2.0",
    "id": 2,
    "method": "tools/call",
    "params": {
      "name": "find_business",
      "arguments": {
        "vertical": "personal_services",
        "location": {"zip_or_city": "30309"},
        "capability": "haircut"
      }
    }
  }'

OpenAI function calling

import httpx, openai
tools = httpx.get(
    "https://hatchloop.dev/.well-known/openai-tools.json"
).json()["tools"]
client = openai.OpenAI()
resp = client.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": "Book a haircut in Atlanta Saturday under $50"}],
    tools=tools,
)

Anthropic tool use

import httpx, anthropic
tools = httpx.get(
    "https://hatchloop.dev/.well-known/anthropic-tools.json"
).json()["tools"]
client = anthropic.Anthropic()
msg = client.messages.create(
    model="claude-opus-4-5",
    max_tokens=1024,
    tools=tools,
    messages=[{"role": "user", "content": "Book a haircut in Atlanta Saturday under $50"}],
)

Plain REST

curl -X POST https://hatchloop.dev/ops/find_business \
  -H "Content-Type: application/json" \
  -d '{"vertical":"personal_services","location":{"zip_or_city":"30309"},"capability":"haircut"}'

Discovery surfaces

Architecture

Read the full README on GitHub →