contact-verifier-mcp
MCP server for verifying B2B contact records via email syntax and DNS/MX checks, serving verified data with per-tenant isolation.
README
contact-verifier
A small service that ingests B2B contact records, verifies them, and serves the verified data over a REST API, an MCP server, and a warehouse export — with the things that matter when you handle other people's data: per-tenant isolation, careful handling of an external dependency, and an honest privacy posture.
Status: portfolio prototype. It runs end-to-end from a clean clone on SQLite with no external services. All sample data is synthetic — there is no real contact data, PII, or customer data anywhere in the repo. "Verification" here means email syntax + DNS/MX deliverability, not a paid email-validation API.
What it does
ingest (REST / CLI)
│
▼
verify ── syntax → DNS/MX deliverability → dedup → confidence
│ (external call: timeout, retries+backoff, rate limit, cache)
▼
store ── one row per contact, every row scoped to a tenant
│ (SQLite by default; Postgres via DATABASE_URL + Alembic)
├──▶ REST API paginated, API-key auth, tenant-scoped
├──▶ MCP server the same data as agent tools
└──▶ warehouse Parquet export, tenant=<id>/ partitions (S3 / Snowflake-stage shape)
Each contact is verified to a status — valid, invalid, risky, or unknown — with an
explainable confidence, and later records with the same (normalized) email are flagged as
duplicates of the canonical one.
Quick start (about 2 minutes)
pip install -e ".[dev,mcp]" # Python 3.11+; SQLite, no services needed
# Drive the whole flow from the CLI:
KEY=$(contact-verifier provision --name "Acme" | awk '/API key/{print $NF}')
contact-verifier seed --key "$KEY" # 15 synthetic sample contacts
contact-verifier verify --key "$KEY" # real DNS: valid domains resolve, fakes don't
contact-verifier export --key "$KEY" # -> warehouse/tenant=<id>/contacts-*.parquet
Or run the API and call it over HTTP:
contact-verifier serve # http://127.0.0.1:8000 (/docs for OpenAPI)
curl -s -X POST localhost:8000/v1/contacts -H "X-API-Key: $KEY" \
-H 'content-type: application/json' \
-d '{"contacts":[{"email":"jane@example.com"},{"email":"bad-syntax"}]}'
curl -s -X POST localhost:8000/v1/contacts/verify -H "X-API-Key: $KEY"
curl -s "localhost:8000/v1/contacts?status=valid" -H "X-API-Key: $KEY"
To use Postgres instead of SQLite: docker compose up -d db, then
CV_DATABASE_URL=postgresql+psycopg://cv:cv@localhost:5432/contact_verifier alembic upgrade head
(install the driver with pip install -e ".[postgres]").
What to look at (the craft)
- External-dependency handling —
verify/dns.py: per-attempt timeout, bounded exponential backoff + jitter on transient failures only (NXDOMAIN is definitive and not retried), a client-side rate limit, and a short-lived cache. Resolver, clock, and sleep are injected, so it's unit-tested with no network (tests/test_verify.py). - Tenant isolation —
db/repository.py: every query is scoped to a tenant in one place.tests/test_api.py::test_tenant_isolationproves one tenant can't read or fetch another's data. - Auth — API keys are random, prefixed, and stored only as a SHA-256 hash; the plaintext
is shown once and never persisted (
auth.py). - Delivery — the same verified data is served three ways: REST, MCP (
mcp/server.py), and a partitioned Parquet export (export.py). - Observability — structured JSON logs with a request id bound through each request, and
optional, env-gated Sentry (
observability.py).
Security & privacy posture
- Synthetic data only; no real PII or customer data, in the tree or in git history.
- API keys hashed at rest; secrets read from the environment / a gitignored
.env. - All SQL is parameterized (SQLAlchemy); no string-built queries.
- Sentry is off unless a DSN is set, so error payloads don't leave the box by default.
- 404 (not 403) for another tenant's record, so the API doesn't reveal that it exists.
Repository map
src/contact_verifier/
app.py FastAPI application factory
config.py settings (env-driven)
auth.py API-key auth -> tenant
observability.py request tracing + optional Sentry
verify/ email syntax + DNS/MX deliverability + the status/confidence engine
db/ models, engine/session, the tenant-scoped repository
api/ routes + schemas + injectable dependencies
services.py the verify-and-dedup use case
export.py Parquet/CSV warehouse export
mcp/server.py the MCP delivery server
cli.py provision / seed / verify / export / serve
alembic/ migrations (Postgres)
tests/ 31 tests (verification, API, tenancy, dedup, export, MCP)
Tests
pytest # 31 tests, no network (the DNS resolver is injected/faked)
ruff check src tests
License
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