# PitchLense

> Use this tool when you need to analyze startup risk and conduct due diligence, as it provides AI-powered assessments of market, product, team, and other key factors through unstructured data processing and returns structured JSON risk reports with numerical scores and recommendations. PitchLense is ideal for venture capitalists, startup accelerators, and investment analysts seeking to evaluate startup potential and identify potential risks. It accepts pitch decks, financial reports, and news articles as inputs and offers actionable insights to inform investment decisions.

Canonical page: https://skillsregistry.net/skills/pitchlense  
JSON: https://api.skillsregistry.net/v1/skills/pitchlense

## Description

PitchLense MCP provides AI-powered startup risk analysis through 9 specialized analyzers covering market, product, team, financial, customer, operational, competitive, legal, and exit risks. Built by Aman Ulla using Google Gemini AI and the FastMCP framework, it processes unstructured startup data (pitch decks, financial reports, news articles) and returns structured JSON risk assessments with numerical scores, risk levels, and actionable recommendations. The implementation includes a comprehensive scanner that runs all analyses in parallel, individual MCP tools for each risk category, and additional tools for web research via SerpAPI and Perplexity, making it useful for venture capitalists, startup accelerators, and investment analysts conducting due diligence.

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/pitchlense)
- **Repository:** <https://github.com/connectaman/pitchlense-mcp>

## Use it

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": "pitchlense"
    }
  }
}
```

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