The agent-native operating surface

Drive your whole funnelfrom your agent.

KRTR is built MCP-first. Every operation the web app exposes is an agent-callable verb — so your dealflow becomes the substrate your agents read, score, and act on, not a dashboard you check.

Anonymous agents stream into the KRTR core. No partner logos — the substrate is the point.

Not a tool you log into — the substrate agents operate on

Your deals, reports, signals, and funnel are state your agents read and write directly. KRTR is where the deal data lives; your agent is just one more client.

MCP-first — every operation is agent-callable

A Streamable-HTTP MCP server exposes the same verbs the web app uses. Screen a funnel, run a report, drop a signal, draft a memo — from Claude, Cursor, or your own fleet.

One enforcement point, every surface

Auth, quota, and scoring live inside the operations, not the transport. An agent can't bypass a limit the web enforces — the rules hold whichever way you connect.

Agentic workflows

What you can hand to an agent

These aren't roadmap promises — every verb below is live on the MCP surface today. Describe the outcome; the agent calls the same operations the app does.

Monitor

Watch the pipeline continuously

Point a long-running agent at your funnel. It polls running jobs, surfaces newly-scored deals, and pings you the moment something crosses your bar — no tab to keep open.

"Every morning, list deals that scored 80+ overnight and summarize what changed."

Re-score

Re-screen the whole funnel against a new thesis

Thesis shifted? Have the agent batch-screen every open deal through your updated lens in one pass, then re-rank — instead of re-opening each deal by hand.

"Re-screen my whole funnel for infra-AI with a hardware moat and show me the new top 10."

Screen

One-pass funnel screening through your own lens

Drop a batch of decks; the agent triages all of them through your calibrated thesis at once, returning a ranked shortlist with the reasoning — the screening wedge, automated.

"Screen these 40 inbound decks and give me the 6 worth a first call, with why."

Stitch

Cross-tool — KRTR alongside Slack, Gmail, your CRM

Because KRTR speaks MCP, the same agent that screens a deal can post the shortlist to Slack, draft the intro in Gmail, and log the disposition to your CRM — one prompt, many tools.

"Screen this deck, post a verdict to #dealflow, and draft a pass note if it's below my bar."

The agent doesn't need to memorize the API

KRTR is self-describing. An agent says “Initiate KRTR” to learn who it's acting as and what it can do, then asks for a workflow or learns a section on demand — so it always knows the right next move without you wiring prompts.

Quickstart

Three steps to your agent on KRTR

No SDK, no glue code. If your client speaks MCP, you're a sign-in away.

  1. 1

    Add KRTR to your MCP client

    In Claude Desktop, Cursor, or any MCP-capable client, add KRTR as a server. It's a standard Streamable-HTTP MCP endpoint with OAuth — your client walks you through sign-in; no API keys to paste.

    https://krtr.ai/api/mcp
  2. 2

    Say "Initiate KRTR"

    On the first message, ask the agent to initiate KRTR. It learns who you are (founder, investor, or firm), what role it's acting as, and the operations available to you — the agent primes itself.

    Initiate KRTR
  3. 3

    Ask for your first moves

    Let the agent suggest where to start, or go straight at it — list your deals, screen your funnel, run a report. From here it's plain language; KRTR maps it to the right verb.

    What are my first moves?
You need a KRTR account to authorize an agent — the same login the web app uses.

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