# Fonzi Recruiter

> Fonzi for Companies — ai-fonzi-company. Use this tool when you need to streamline company operations, manage job postings, and track candidate interactions. It solves problems related to disorganized company profiles, inefficient job matching, and cumbersome interview request processes. With inputs for company data, job postings, and candidate information, and outputs for matched candidates and interview requests, it provides a comprehensive interface for company team management.

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

## Description

Manage your Company Profile, Jobs, Candidates, Interview Requests, Matches, and Company Team.

## 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%2Fcompany)

## Use it

MCP endpoint published by the skill: `https://recruiting.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-company"
    }
  }
}
```

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