# openpitch-mcp

> openpitch-mcp — avierovich-openpitch. Use this tool when you need to analyze AI startup metrics through natural-language queries, receiving sourced and confidence-scored answers about key performance indicators like ARR and funding. It solves problems related to data accessibility and reliability, providing accurate information to inform business decisions. Ideal for use cases requiring quick, trustworthy insights into startup performance metrics.

Canonical page: https://skillsregistry.net/skills/avierovich-openpitch  
JSON: https://api.skillsregistry.net/v1/skills/avierovich-openpitch

## Description

Enables natural-language queries about AI startup metrics like ARR and funding, with sourced, confidence-scored answers and contradiction detection.

## Trust

- **Trust score (0–1):** 0.62
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/e1pau66j0p)
- **Repository:** <https://github.com/Avierovich/openpitch>

## 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": "avierovich-openpitch"
    }
  }
}
```

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