A standard MCP stack
The three a team already has: a CRM, a notetaker and an email client.
- CRM18 tools
- Notetaker10 tools
- Email and calendar18 tools
One pipeline question, answered twice. Once through a standard stack of CRM, notetaker and email servers. Once through the Doris Ontology.
“Across our open deals, which three has the buyer gone quietest on? For each, tell me how many days since the buyer last made contact, what is still outstanding on the deal and who owes it, and whether the close date is at risk.”
A CRM records the last activity on a deal, not the last time the buyer made contact. And it cannot say who owes what, because that was said out loud on a call.
Both sides pay for every tool they expose, on every round.
The three a team already has: a CRM, a notetaker and an email client.
One server. The same read tools anyone can connect to the public sandbox today.
Prices are Anthropic's published Claude Opus 5 rates on 15 September 2026. The method, the tool definitions counted and both call traces are recorded with the run.
Connect two more and the bill barely moves. The tools are not what costs you, which is why trimming your stack will not fix this.
CRM rows, call lists, mail headers, transcripts. All of it dragged into the model so it can find the one fact inside. The ontology hands back the fact.
Whatever the model read in round one is sent again in round two, and three, and four. Running calls in parallel helps. It cannot go below the rounds your data forces.
A stack rebuilds the meaning of a deal out of raw speech, every time you ask. The ontology reads meaning that was captured once, typed, and linked to what surrounds it.
A transcript tells you somebody said they would do something. It cannot tell you whether it happened, when it was due, or which side owed it. On the record those are fields, kept current.
Ask for comparable deals where there are none and you get told there are none, and why. A model reading call recordings cannot tell the difference between nothing to find and not having looked.
Which past deals hit this same objection, and what did the rep who won them say? One call. The other way is reading every closed deal you have, and there is more of that than a context window holds.
Bring a pipeline question. We will answer it through the ontology, live.
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