# ai.krtr/krtr

> Use this tool when you need to analyze and optimize pitch decks, identify potential investment opportunities, and streamline deal flow management. It solves problems related to inefficient pitch evaluation, missed investment opportunities, and disorganized deal pipelines. The tool takes in pitch data and outputs actionable insights, making it ideal for founders, investors, and firms looking to make informed decisions and improve their fundraising or investment processes.

Canonical page: https://skillsregistry.net/skills/ai-krtr-krtr  
JSON: https://api.skillsregistry.net/v1/skills/ai-krtr-krtr

## Description

Pre-diligence AI for founders, investors, and firms — multi-agent pitch analysis and deal flow.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 2.5.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-06-12

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.krtr%2Fkrtr)

## Use it

MCP endpoint published by the skill: `https://www.krtr.ai/api/mcp`

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ai-krtr-krtr"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-krtr-krtr` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-krtr-krtr/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt