Zaptu — Agent Service Lead Connector

Repo: https://github.com/TommyTap11/zaptu
Public home: zaptu.ai (owned).

git clone https://github.com/TommyTap11/zaptu.git
cd zaptu

Zaptu is the intended transaction hub between AI assistants and real-world local services. This codebase is vertical 1 of that hub: an MCP server and public API that turns “book me a house cleaner” into a structured, monetizable lead for existing pay-per-call and affiliate networks.

Start with house cleaning in Miami. Expand to pest control, plumbing, HVAC — then other verticals behind the same gateway.

Strategy brief: docs/ZAPTU-HUB-STRATEGY.md

One-liner

Agents request local services. This service validates the request, logs it, and forwards it as a paid lead or tracked call.

Related MCP server: @qasperai/mcp-server

Why this MVP

• Muse and other agents can already attach a remote MCP URL as a custom connector.

• House cleaning and pest control networks already buy calls and form leads — no need to sign up individual maids on day one.

• The same intake pipeline can later sell direct to partnered companies.

• Public brand is Zaptu. Every front door (zaptu.ai widget, Telegram, MCP, REST) must call the same submit_request pipeline. Do not fork qualification per channel.

What is implemented

Quick start

pip install -r requirements.txt
export PYTHONPATH=src
python src/aslc/server.py

• API: http://localhost:8000/health

• MCP: http://localhost:8000/mcp

Submit a test lead:

curl -s http://localhost:8000/v1/leads \
  -H 'content-type: application/json' \
  -d '{
    "service_type": "house_cleaning",
    "zip_code": "33139",
    "customer_name": "Ada Lovelace",
    "customer_phone": "3055550199",
    "consent_to_contact": true,
    "bedrooms": 3,
    "frequency": "biweekly",
    "source_agent": "curl"
  }'

Tech stack

Not used on purpose: a provider marketplace, auth-heavy OAuth, a frontend. Those are later.

Monetization path

1. Now — log every request, simulate a buyer, optionally POST to a webhook.

2. Week 2 — apply to eLocal, Service Direct Earn API, The Client Connector, UpN3xt. See docs/NETWORKS.md.

3. Later — direct cleaning companies, then pest/plumbing/HVAC with the same tool.

Public 2026 ranges: affiliate cleaning calls often list ~$15–$25; Google LSA cleaning CPL is roughly $28–$70. Agent-originated demand has near-zero media cost if Muse users bring the job.

Muse

Custom connector today (paste the /mcp URL). Official directory later via muse.ai/platform. Details in docs/MUSE.md.

Project layout

src/aslc/
  server.py       MCP tools + REST
  models.py       request / lead schema
  validation.py   TCPA, ZIP, date, coverage
  forwarding.py   mock + webhook adapters
  service.py      shared intake pipeline
  storage.py      JSONL log
  config.py       env
docs/
  MUSE.md
  NETWORKS.md

What this does not do yet

• Live call bridging / DIDs

• Real ping/post contracts

• Multi-tenant API keys per agent vendor

• Official Muse review package

• Non-US addresses

Those are sequential, not blockers for a first hosted endpoint.

License

Use it. If you operationalize this as a business, add a privacy policy before you take real phone numbers at volume.