# Cofound

> Cofound — ai-cofoundagent-cofound. Use this tool when you need to streamline co-founder matching and pitch screening, as it solves the problem of manually searching for and evaluating potential co-founders by providing a searchable directory with inbound pitch filtering capabilities, taking in founder profiles and outputting curated matches. It accepts inputs such as founder preferences and pitch details, and produces outputs like ranked co-founder suggestions. Use Cofound in contexts where efficient co-founder discovery and pitch evaluation are crucial, such as startup formation or business expansion.

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

## Description

MCP-native co-founder directory your AI agent searches, screening inbound pitches for you.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.cofoundagent%2Fcofound)
- **Repository:** <https://github.com/cofound-agent/plugin>

## Use it

MCP endpoint published by the skill: `https://mcp.cofoundagent.ai/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-cofoundagent-cofound"
    }
  }
}
```

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