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AI agents find, message & book SMBs; pay per call in USDC on Base via x402. 14 tools, compliant.
About
AI agents find, message & book SMBs; pay per call in USDC on Base via x402. 14 tools, compliant.
Remote endpoints: streamable-http: https://agent-broker-edge.basil-agent.workers.dev/mcp
Security Report
This MCP server implements a complex SMB communication broker with reasonable security foundations but exhibits several concerns: authentication is present but optional in development mode, the rate limiter implementation has weak eviction semantics that could leak memory under attack, and the x402 payment gate may be bypassable through direct channel calls. The codebase shows good practices around compliance and token handling, but the rate limiter's in-memory architecture and incomplete auth enforcement across all code paths present moderate risks. Permissions align with stated purpose (messaging, calendar APIs, browser automation). Supply chain analysis found 10 known vulnerabilities in dependencies (0 critical, 4 high severity).
4 files analyzed · 18 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Install & Connect
Available as Local & Remote
This plugin can run on your machine or connect to a hosted endpoint. during install.
Documentation
View on GitHubFrom the project's GitHub README.
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://agent-broker-edge.basil-agent.workers.dev/mcp (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 → SMS → voice AI → email — with full TCPA / GDPR / CASL / 10DLC compliance enforced as a non-bypassable gate.
Current status (honest)
| Capability | Status |
|---|---|
| MCP endpoint (streamable-http) | Live — https://agent-broker-edge.basil-agent.workers.dev/mcp |
| 14 MCP tools | Live (callable today) |
| Compliance gate (TCPA/GDPR/CASL) | Live |
| REST + A2A + OpenAI/Anthropic tool surfaces | Live |
| SMB supply network | Demo — 20+ seed SMBs; demo bookings return demo_smb_no_live_booking |
| Per-call payments via x402/USDC on Base | Coming soon — not yet active — tools are currently free |
| Production SMB onboarding | Planned — real businesses not yet enrolled |
The MCP server is live and callable right now. Bookings hit demo data, and per-call payments (x402/USDC) are not yet charged. Both are in progress.
14 MCP Tools
All tools are callable via MCP, REST, OpenAI function calling, Anthropic tool_use, or A2A protocol.
| # | Tool | What it does |
|---|---|---|
| 1 | find_business | Search SMBs by vertical, location, and capability — free |
| 2 | verify_business | Confirm an SMB is real, operating, and capable of the requested service — free |
| 3 | send_message | Send SMS, email, or voice with full compliance pre-check (TCPA/GDPR/CASL) |
| 4 | capture_lead | Structured intake of a prospect into an SMB pipeline with CRM integration |
| 5 | schedule_appointment | Book, reschedule, or cancel — tries direct booking API, falls back to voice AI |
| 6 | send_transactional_confirmation | TCPA-exempt OTPs, booking confirmations, receipts |
| 7 | handle_inbound | Classify inbound messages: booking / cancel / opt-out / question / complaint |
| 8 | escalate_to_human | Hand off a stuck or ambiguous task to a human operator with full context |
| 9 | get_status | Poll the current state of an async operation — free |
| 10 | get_outcome | Retrieve the final OutcomeReceipt (with cost and reason codes) — free |
| 11 | preview_cost | Estimate cost, latency, and success probability before committing — free |
| 12 | self_test | Verify service health and all claimed capabilities are responding — free |
| 13 | import_booking_url | Turn any Cal.com, Calendly, Doctolib, Booksy, OpenTable, Square, Acuity, or Fresha URL into a bookable SMB record |
| 14 | call_business | Place a conversational voice-AI phone call to a business on behalf of a consumer |
Quick start
Connect via MCP (Claude Desktop, Cursor, Continue, etc.)
{
"mcpServers": {
"agent-broker": {
"url": "https://agent-broker-edge.basil-agent.workers.dev/mcp"
}
}
}
No API key required for read-only tools. State-changing tools accept an optional X-Agent-Identity bearer token.
Discover tools (JSON-RPC)
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":{}}'
Call a tool (JSON-RPC)
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"
}
}
}'
OpenAI function calling
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,
)
Anthropic tool use
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"}],
)
Plain REST
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"}'
Discovery surfaces
| Surface | URL |
|---|---|
| MCP (streamable-http) | https://agent-broker-edge.basil-agent.workers.dev/mcp |
| MCP descriptor | https://agent-broker-edge.basil-agent.workers.dev/.well-known/mcp.json |
| OpenAI function tools | https://agent-broker-edge.basil-agent.workers.dev/.well-known/openai-tools.json |
| Anthropic tool_use | https://agent-broker-edge.basil-agent.workers.dev/.well-known/anthropic-tools.json |
| A2A (Agent-to-Agent) | https://agent-broker-edge.basil-agent.workers.dev/.well-known/agents.json |
| OpenAI ChatGPT plugin | https://agent-broker-edge.basil-agent.workers.dev/.well-known/ai-plugin.json |
| llms.txt | https://agent-broker-edge.basil-agent.workers.dev/llms.txt |
| OpenAPI 3.1 | https://agent-broker-edge.basil-agent.workers.dev/openapi.yaml |
| Glama MCP Registry | Listed via glama.json |
| MCP Registry | Listed via server.json |
Architecture
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)
The edge worker can outlive the origin: discovery still works even if the origin is down. Idempotency is keyed by (agent_id, operation, idempotency_key) with 24h TTL. Async operations return pending_async; poll with get_status / get_outcome.
Compliance
Every outbound communication passes through compliance/pre_check():
- Content classification — blocks restricted categories (gambling, adult, cannabis, spam)
- Opt-out check — TCPA STOP keyword, GDPR right-to-be-forgotten, CASL
- Consent check — TCPA written consent, GDPR opt-in, CASL implied/express
- 10DLC registry check — US SMS campaign compliance
- Two-party recording consent — CA, FL, IL, MD, MA, MT, NV, NH, PA, WA
- Audit log — PII stored as SHA-256 hash, never plaintext
Violations surface as ComplianceViolationError and are never silently bypassed.
Repo layout
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
Local development
# 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)"
Or with Docker:
docker compose -f deploy/docker-compose.yml up
Documentation
- Architecture — module map, data flow, fallback chains
- Compliance — full jurisdiction matrix, pre-check sequence
- Agent integration guide — copy-paste examples for every protocol
- API errors — 16 error codes with retry semantics
- API identity — Agent-Identity JWT spec
- API async — execution profiles, polling rules, webhook contract
- Benchmarks — measured WinRate, latency, cost vs alternatives
- Mission — north-star metric and scope
Contributing
This is a proprietary project. Issues and discussion are welcome — open a GitHub issue to report bugs or suggest features. Pull requests require prior discussion with the maintainer.
License
Proprietary — contact for licensing terms.
Built by Basil Al-Shukaili. Listed on the MCP Registry and Glama.
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