A compliance analyst can now ask Claude to onboard an Indian business — and Claude does it end-to-end. KYC, ownership, sanctions, court records, the DigiLocker consent moment with the director.
Live today via Deepvue MCP ↓
https://t.co/hmqImJYP7D
#MCP#Claude
Three early usage patterns we're seeing:
· Compliance — full lifecycle (onboarding, screening, DD) by asking
· Ops & support — verification checks without pinging engineering
· AI Builders — wiring Deepvue into agents(chat, voice etc.) and copilots
Consented flows are an under-explored shape in MCP. Most discussion so far has been read-only lookups.
Anything that puts a user in the loop — payment auth, KYC, health records, Account Aggregator data — needs something different. We've been calling this Agentic Compliance.
The agent has to initiate a consent request, hand control to the human, wait, then pick the verified data back up — without losing context.
Getting this right in an agent runtime is the harder half of the problem.
Every existing MCP data connector — FactSet, S&P, Moody's — is server-side lookup. Data you already have rights to query.
Indian KYC isn't that. Every pull needs the subject's real-time consent. That's a different architectural shape than request/response.
Background: Deepvue is compliance infrastructure used by forex, crypto, lending, and KYC teams. We've shipped KYC / KYB / AML APIs for years.
The MCP server makes all of it agent-callable through Claude custom-connector. No new code — just connect Claude to Deepvue and ask.
A compliance analyst can now ask Claude to onboard an Indian business — and Claude does it end-to-end. KYC, ownership, sanctions, court records, the DigiLocker consent moment with the director.
Live today via Deepvue MCP ↓
https://t.co/hmqImJYP7D
#MCP#Claude
As an early-stage startup, when you are double checking your outbound lead generation strategies and suddenly you receive two inbound leads. Everyone in the team
As a founder, it is a special feeling to see people moving on to start their own ventures.
On one side, you are worried about losing one of your brightest but deep down, you root for them to make it big.
@SatanAtWink@LazyLearner_ and Vishakha - win!
@sh_reya Good stuff 😁. https://t.co/3EYbIEPfhE might also be helpful for you to create and maintain data science projects quickly.
Uses code gen & templates and saves a lot of time.
In fact one can create it's own templates as well.
Welcome to our first episode of #TheTwentyMinuteMoat🙌🏼
Today, we talk to Sandeep Jindal - Head of #CustomerSupport@FURLENCO about "Furniture, WFH And How Customer Support Defines Culture."
Click here to listen: https://t.co/aNmumNWGhx���
#WFH #CustomerSupport