Doorknock

Doorknock

A remote MCP server that researches a company from its own domain and DNS, scores it against a lead profile, and writes the result into HubSpot.

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Doorknock

A remote MCP server that researches a company from its own domain, judges it against a lead profile you supply, and writes the result into HubSpot.

Everything it reports was read live from the company's own website or its public DNS records, and carries the URL or DNS query that produced it. It buys nothing from a data provider and infers nothing about revenue, headcount or ownership.

Live: https://doorknock-eight.vercel.app MCP endpoint: https://doorknock-eight.vercel.app/mcp OpenAPI: https://doorknock-eight.vercel.app/openapi.json Health: https://doorknock-eight.vercel.app/health

Connect it

claude mcp add --transport http doorknock https://doorknock-eight.vercel.app/mcp

Any MCP client that speaks Streamable HTTP can use the same URL. It is POST only: the server is stateless, so GET and DELETE answer 405 by design.

The research tools need no credentials at all. The HubSpot tools need a private app token with crm.objects.companies.read and .write, supplied as a header:

claude mcp add --transport http doorknock https://doorknock-eight.vercel.app/mcp \
  --header "X-HubSpot-Token: pat-na1-..."

For anything that does not speak MCP, the identical operations are at /v1/<operation> and described by /openapi.json, which is generated from the same constants the router uses so the two cannot drift. That is what a custom GPT Action or an n8n HTTP node should point at.

The seven tools

Tool What it does
research_company Reads the home page and the DNS. Returns the marketing and CRM tools loaded on the page, which standard pages exist, who handles their email, and whether their outbound email is protected.
qualify_lead Runs the research, then scores it against a profile you pass in, returning a tier with the reasoning attached to every rule.
check_email_posture MX, SPF and DMARC, read in plain words. Keeps "will my mail reach them" and "does their mail land" apart, because they are different questions.
list_signals The vocabulary that profile rules are written against: every named fact, what it means, and what its absence does and does not prove.
hubspot_check_connection Confirms the token works and reports the portal and scopes, before a write fails at the worst moment.
hubspot_find_company Finds a company by exact domain, so an enrichment does not create a duplicate.
hubspot_write_company Creates or updates the company and optionally adds a timeline note.

Three decisions worth arguing about

The credential never touches the model. The obvious design is a token parameter on the HubSpot tools. That puts the secret in the prompt, in the context window, in the client's transcript and in any log that records tool calls, and it makes the token something a model can be talked into sending somewhere else. Here it travels on the HTTP request instead, in an X-HubSpot-Token header, and no tool schema has a field for it. The model can ask for a write; it never handles the credential. One of the adversarial checks exists purely to assert that no tool schema has ever grown a credential field.

The rules are data, not code. Qualification rules arrive with the call and come back with the answer, so the logic that produced a verdict is always visible and changing who counts as a good lead never needs a deployment. A rule naming a signal that does not exist is reported as an unknown signal rather than silently counted as a miss, and a rule whose signal could not be determined blocks the tier instead of failing it, because "we could not tell" and "no" send a lead to different places.

Absence is reported as absence. A tag can load through a tag manager, sit behind a consent banner, or live only on an inner page. So the answer says "not detected on the home page", never "they do not use HubSpot", and every signal carries a sentence about what its absence does not prove.

Run it locally

npm install
npm run typecheck     # tsc, no emit
npm run smoke         # every operation against the real internet
npm run smoke:mcp     # every endpoint over a real node:http server
npm run smoke:live -- https://doorknock-eight.vercel.app    # the deployment, via the official client SDK
npm run adversarial -- https://doorknock-eight.vercel.app   # tries to break it
npm run prove -- https://doorknock-eight.vercel.app         # independent evidence

There are no mocks anywhere. A mocked resolver proves that my mock returns what I told it to; the failures worth catching are an upstream changing shape, and no mock has ever caught one.

npm run adversarial is the one that finds things. It aims at the cloud metadata endpoint, throws hostile hostnames, wrong types, 4000-character domains and malformed protocol frames at the deployed server, and treats a confident answer to a question the server should have refused as the worst kind of failure. It found three real defects on its first run.

Checking it without trusting this repository

npm run prove exists because my own tests passing proves very little to someone who did not write them. It calls the deployed server through the official MCP client SDK, then re-fetches every DNS fact from a different resolver than the server used and re-fetches the page straight from the company, comparing field by field and printing every source URL.

Three more ways that need nothing from here:

# Anthropic's own inspector, not my code
npx @modelcontextprotocol/inspector --cli https://doorknock-eight.vercel.app/mcp --transport http --method tools/list

# raw JSON-RPC, no client, no session, because it is stateless
curl -s -X POST https://doorknock-eight.vercel.app/mcp \
  -H 'Content-Type: application/json' \
  -H 'Accept: application/json, text/event-stream' \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/list"}'

# let your own client run its health check against it
claude mcp add --transport http doorknock https://doorknock-eight.vercel.app/mcp
claude mcp list

And the version that needs only a browser. Open both and compare:

  • https://doorknock-eight.vercel.app/v1/email-posture?domain=servicem8.com
  • https://dns.google/resolve?name=_dmarc.servicem8.com&type=TXT

What broke, and what I did about it

Six defects so far. Three came from the adversarial script on its first run against the deployment, one from the independent-verification script, and one was in a test rather than in the server.

1. A refusal wrapped in a success. Asking the server about 169.254.169.254 or metadata.google.internal returned HTTP 200 with a result object. Nothing leaked: the fetch guard refused the request correctly, so no internal address was ever contacted. But the research call runs the site fetch and the DNS lookups in parallel, and the DNS half carried on happily, so the caller got a 200 wrapped around a refusal. Defence in depth had worked and the response contract had not. The address rules now run in normaliseDomain, at the front door, so the whole operation refuses with 400.

2. Redirects were followed by the runtime, which checked nothing. The first version passed redirect: 'follow' and validated only the first hop. A public host answering 302 to an internal address would have sailed straight through the guard. Redirects are now followed by hand, five maximum, with every hop re-resolved and re-checked before it is taken, and the chain returned in the answer because where a domain sends you is itself a finding.

3. A 4000-character domain was accepted. No length check anywhere. DNS itself stops at 253 characters and 63 per label, so anything longer cannot be a real name. Now refused with an explanation.

4. Equal-priority MX records came back in a different order every call. Found by the independent-verification script, which reported a difference between what the server said and what a second resolver said. The records were identical; only the order differed, because resolvers rotate equal-priority answers and the sort was by priority alone, which is not a total order. Ties are now broken by host name, so the same records always produce the same output.

5. A test that failed on something it never looked at. The adversarial script truncated every response body to 600 characters before checking it, so the unknown-signal assertion looked for a field about four kilobytes into the response, never saw it, and reported the server broken when the server was correct. That cost more time than any of the real defects. The body is now kept whole and truncated only when it is printed. A test that decides a pass or a fail from something it never actually read is worse than no test, because it is believed.

6. The platform hands the handler a Node IncomingMessage, not a Web Request. Inherited from the previous server I built this way, and the reason npm run smoke:mcp stands up a real node:http server and talks to it over a socket rather than building request objects in memory. A test that builds its own request shape only ever tests that shape.

Limits, stated plainly

  • It reads the home page only. A tag loaded through a tag manager or living on an inner page is missed, and the answer says so rather than implying the tool is absent.
  • It knows nothing about headcount, revenue, ownership or contact names, and will not guess a domain from a company name.
  • DKIM is not checked. The selector cannot be discovered from DNS, so checking it means guessing, and a guess that misses looks identical to a domain with no DKIM at all.
  • The address guard resolves the name, checks the addresses, then fetches by name, so a DNS record changing between those two steps is not fully closed. Pinning the connection to the checked address needs an agent this runtime does not expose. The mitigation is that no response body ever reaches the caller raw, only named matched signals, so a successful rebind returns nothing readable to whoever attempted it. This is written in the code as well as here.

How it is laid out

src/core.ts            the operations, shared by both front doors
src/mcpServer.ts       the MCP tool surface
src/lib/guard.ts       what this server is allowed to fetch
src/lib/dns.ts         DNS over HTTPS, so every fact has a URL
src/lib/site.ts        redirect-by-hand page fetching and reading
src/lib/fingerprints.ts  the technology table, one literal string per entry
src/lib/email.ts       MX, SPF and DMARC, read in plain words
src/lib/signals.ts     the published vocabulary
src/lib/qualify.ts     the rules engine
src/lib/hubspot.ts     the CRM writes, with the caller's own token
api/                   the four endpoints
scripts/               five suites, no mocks

MIT licensed.

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