# Fonzi Talent

> Fonzi for Candidates — ai-fonzi-talent. Use this tool when you need to streamline your job search and application process. Fonzi for Candidates solves problems related to job matching, resume management, and interview scheduling by providing a platform to manage profiles, browse companies, and respond to interview requests. It takes in user profile and resume data as input and outputs matched job opportunities and interview invitations.

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

## Description

Apply to Fonzi, manage your profile and resume, browse Companies, and answer Interview Requests.

## Trust

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

## Facts

- **Version:** 0.2.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Updated:** 2026-09-28

## Source

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

## Use it

MCP endpoint published by the skill: `https://talent.fonzi.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-fonzi-talent"
    }
  }
}
```

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

---
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