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Use case

Build a customer support agent

A working customer-support agent that triages tickets, answers from your docs, and escalates with full context.

You want an agent that reads incoming tickets, answers from your own docs, files the right CRM update, and only escalates the ones a human needs to see. Here is the stack we would actually ship with.

The stack

Each pick is a real entry on the index. Click any one for the full detail page.

  1. 1
    P Apps Runtime + UI

    Lindy

    by Lindy AI

    Why this: Lindy gives you a working agent runtime with native email and chat in hours, not weeks. The visual builder keeps non-engineers in the loop on changes.

    Full entry
  2. 2
    M MCP Customer record store

    Supabase MCP Server

    by Supabase

    Why this: Most teams already have customers in Supabase. The official MCP server lets the agent look up and update records safely.

    Full entry
  3. 3
    M MCP Knowledge

    Notion MCP Server

    by Notion

    Why this: Point the agent at your Notion knowledge base. Cheaper than a fresh RAG build for the first version.

    Full entry
  4. 4
    S Skills Tone + style

    Internal Comms Skill

    by Anthropic

    Why this: A skill enforces the right tone for outbound customer replies. The agent inherits voice without you templating every reply.

    Full entry
Why we picked this stack

Get this running with Enterprise DNA.

Enterprise DNA gives this stack a real cockpit. The CRM updates land in the customer record. The escalations show up in the operator inbox. The agent's runs are tracked in OPM. Stop hunting for the work across five dashboards.

Run this stack on Enterprise DNA
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Alternative stacks

Different angles on the same outcome.

Alternative

Voice-first version

Swap Lindy for Help Genie if the support channel is the phone, not email.

See the alternative Alternative

Roll your own

If you want full control, LangGraph + the same MCP servers give you a custom backend.

See the alternative

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