{
  "mcpServers": {
    "agent-broker": {
      "url": "https://agent-broker-edge.basil-agent.workers.dev/mcp"
    }
  }
}

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

curl -X POST https://agent-broker-edge.basil-agent.workers.dev/mcp \
  -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"
      }
    }
  }'

import httpx, openai
tools = httpx.get(
    "https://agent-broker-edge.basil-agent.workers.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,
)

import httpx, anthropic
tools = httpx.get(
    "https://agent-broker-edge.basil-agent.workers.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"}],
)

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

AI agent
   |
   v  MCP / REST / A2A
Cloudflare Worker edge  (agent-broker-edge.basil-agent.workers.dev)
   |  300+ PoPs globally -- discovery served from edge bundle in 40-70 ms
   |
   +-- GET /.well-known/* /manifest /llms.txt  --> embedded snapshot (40-70 ms)
   +-- POST /mcp  initialize / tools/list      --> embedded snapshot (40-65 ms)
   +-- POST /mcp  tools/call  /ops/*           --> proxy to origin  (170-190 ms)
                |
                v
        Python FastAPI  (smb-broker.onrender.com)
                |  Cron keep-alive every 2 min (eliminates Render cold starts)
                |
                +-- 14 operation handlers  (core/)
                +-- Compliance gate        (compliance/pre_check)
                +-- Channel adapters       (channels/ -- Twilio, Cal.com, Vapi, SendGrid)
                +-- Billing + outcome store
                +-- All .well-known / MCP endpoints (also served from edge bundle)

agentbroker/
+-- core/                  # 14 operation handlers + shared Pydantic models
+-- channels/              # Twilio, SendGrid, Vapi, Bland, Cal.com, Playwright
+-- compliance/            # pre_check, jurisdiction_rules, consent_store, audit_log
+-- reliability/           # retry, circuit_breaker, channel_fallback, async_runner
+-- billing/               # meter, budget_guard, receipt_signer, pricing_tiers
+-- telemetry/             # tracer, log_redactor, metrics_emitter
+-- storage/               # outcome_store, idempotency_store
+-- supply/                # smb_directory (20+ seed/demo SMBs)
+-- onboarding/            # self_serve, verification_flow, channel_capture
+-- feedback/              # failure_classifier, attribution_engine, outcome_evaluator
+-- optimizer/             # ab_router, selection_analytics, weekly_report
+-- agent_interface/       # manifest_server, mcp_server, well_known, identity, webhooks
+-- manifest/              # manifest.json, mcp_tools.json, openapi.yaml
+-- api/                   # errors.md, identity.md, async.md
+-- docs/                  # mission, architecture, compliance, ADRs
+-- edge/                  # Cloudflare Worker (TypeScript/Hono)
+-- deploy/                # Dockerfile, docker-compose.yml
+-- tests/                 # unit, contract, compliance, fault_injection, agent_sim
+-- main.py                # FastAPI entry point
+-- config.py              # Centralized config from env
+-- requirements.txt

# Install dependencies
pip install -r requirements.txt

# Run tests (103 passing)
python -m pytest tests/ -q

# Start the API
python main.py
# --> http://localhost:8000/docs      (Swagger UI)
# --> http://localhost:8000/mcp       (MCP endpoint)
# --> http://localhost:8000/manifest  (capability manifest)

# Run the agent simulation harness
python -m tests.agent_sim.harness

# Self-test
python -c "import asyncio; from agent_interface.self_test import run_self_test; print(asyncio.run(run_self_test()).all_passed)"

docker compose -f deploy/docker-compose.yml up