3LT Letter Mail

3LT Letter Mail — MCP Server

Give your AI assistant hands. 3L-Group Technology is a print-and-mail rail: an AI agent calls our MCP tools, and a real physical letter goes out through the U.S. Postal Service. Draft a letter in chat, approve it, and it's in the mail — no printing, no envelopes, no post office run.

🌐 https://3lgrouptechnology.com

Use the hosted service (no setup)

The public MCP endpoint is live:

https://3lgrouptechnology.com/mcp

Transport: streamable HTTP. Authentication: pass your API key as the api_key argument on every tool call. Get an API key at 3lgrouptechnology.com.

Connect from Claude

Claude (claude.ai) supports custom MCP connectors: add a new connector with the server URL above. When the assistant calls a tool, it supplies your lms_... API key as the api_key parameter. (The service never sees your Claude account — the key is the only credential.)

Connect from Cursor

Settings → MCP → Add custom MCP server:

{  "mcpServers": {    "3lt-letter-mail": {      "url": "https://3lgrouptechnology.com/mcp"    }  }}

Connect from any MCP client

Any client that speaks streamable HTTP works: point it at https://3lgrouptechnology.com/mcp and provide your API key per tool call.

Tools

There is no tool that mails a letter directly. Every send passes through an approval record: a human tap or a standing Connect authorization.

Pricing

Flat $1.00 service fee per letter, plus postage (USPS First-Class via our print-and-mail provider). One price, no tiers, no volume games. Certified Mail with Electronic Return Receipt is opt-in and costs more — it's never the default.

Example: "Send my 2026 1099s to these 40 people" → your assistant loops draft_letter → request_send → send_status for each recipient. Bulk runs auto-send inside your monthly cap; anything flagged falls back to a one-tap Allow/Deny link. One itemized receipt per send.

Self-hosting

Prefer to run your own rail? The full stack is in this repo.

Quickstart

./quickstart.sh

Creates .venv, installs deps, runs the test suites, and starts the REST API on http://127.0.0.1:8000 (dashboard at /).

With no POSTGRID_API_KEY set, drafts fail cleanly at address verification — nothing can be mailed. Set a test key to exercise the full flow with simulated sends:

POSTGRID_API_KEY=test_... LMS_ADMIN_TOKEN=pick-a-secret ./quickstart.sh

MCP server (separate terminal):

POSTGRID_API_KEY=test_... .venv/bin/python mcp_server.py# MCP endpoint: http://127.0.0.1:8001/mcp

What's in the repo

• MCP server (mcp_server.py) — the 3 tools above over streamable HTTP.
• REST API (api.py, FastAPI) — agent endpoints (X-API-Key) for drafts and send requests; admin endpoints (X-Admin-Token) to issue keys, approve/reject sends, manage trust tiers + spend caps; customer dashboard (/customer), approval dashboard (/), audit history, Stripe webhooks.
• Trust tiers (per API key) — approval (default for admin-issued keys: human tap every send) or on_command (trusted: auto-sends inside guardrails — content screening on every send, per-send + daily spend caps, hard monthly cap, >3× 7-day anomaly rule, needs_review fallback). All decisions audited.
• One-time rail authorization ("Connect") — POST /v1/connect creates a Stripe customer + returns a /connect/<token> page (card/Apple Pay/Google Pay via Payment Element, monthly cap confirmed). Finalizing issues an on_command API key with per-send approval OFF — the single Connect authorization is the standing approval, so sends flow with zero prompts inside the caps. Hitting the monthly cap is a hard 402 "raise your cap" — never a silent overage.
• Billing (Stripe, test mode only) — SetupIntents for saving payment methods, off-session authorize → fulfill → capture on every approval (authorization voided if the send fails), idempotency keys per send.
• Risk engine — spending limits are risk-derived, not static. New keys start at L0 ($50/mo); clean history auto-raises limits; flags, failed payments, and chargebacks tighten or freeze the key. Every decision audited with human-readable reasons. See risk.py.
• Abuse screening — content blocklist runs at draft time AND again at approval/fulfillment time.
• Storage — SQLite (db.py): api_keys, drafts, send_requests, billing_receipts, approval_tokens, audit_log.

Environment variables

Copy .env.example to .env and fill in real values. Never commit .env.

Run the tests

.venv/bin/python test_pricing.py.venv/bin/python test_api_flow.py       # PostGrid calls stubbed, no network.venv/bin/python test_billing_tiers.py  # Stripe mocked, no network.venv/bin/python test_pdf.py            # PDF upload + flow, no network.venv/bin/python test_risk.py.venv/bin/python test_customer_dashboard.py

Deploy notes

• One small VPS is plenty. Run the API behind Caddy/Nginx with TLS. Keep the MCP port on localhost or behind the same TLS proxy.
• Process manager: a systemd unit per process — uvicorn api:app on :8000 and python mcp_server.py on :8001, both with Restart=always and env vars from an EnvironmentFile (never in the unit file itself).
• SQLite is fine to start; move to Postgres with concurrent writers.
• Back up lms.db — it holds your audit trail.

Safety notes

• There is no code path that calls mail_provider.create_letter except core.approve_send, which requires a PENDING request and a human admin action. The MCP tools cannot send.
• postgrid_client sets trust_env=False so the API key is never routed through ambient proxy env vars.
• API keys are stored as SHA-256 hashes; the raw key is shown once at issue.