# ZOOQ - LinkedIn Data for AI Agents

> ZOOQ - LinkedIn Data for AI Agents — baldiga-zooq-mcp. Use this tool when you need to access live LinkedIn data for AI-driven applications, such as profile analysis, company research, or people search, without compromising your own account. ZOOQ provides a remote server with 44 tools and a streamable HTTP interface, allowing your AI agent to retrieve data seamlessly. Ideal for use cases requiring real-time LinkedIn data, such as job market analysis or lead generation, with a free 300-credit signup and Dockerfile support for easy integration.

Canonical page: https://skillsregistry.net/skills/baldiga-zooq-mcp  
JSON: https://api.skillsregistry.net/v1/skills/baldiga-zooq-mcp

## Description

Live LinkedIn data for AI agents: 44 tools for profiles, companies, jobs, posts, people search, job-change signals and email finding. Hosted remote server (streamable HTTP) - your agent never touches your own LinkedIn account. 300 free credits on signup, no card. Dockerfile in repo bridges stdio clients to the hosted endpoint via mcp-remote.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/a91ovji2bs)
- **Repository:** <https://github.com/baldiga/zooq-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": "baldiga-zooq-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/baldiga-zooq-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/baldiga-zooq-mcp/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
