# picoads

> Use this tool when you need to integrate targeted advertising into AI-powered applications, solving monetization and user engagement challenges. Picoads provides a micro ad network for AI agents, accepting input parameters such as user demographics and ad preferences, and outputting relevant ad displays. Ideal for use cases where personalized advertising is crucial, such as virtual assistants, chatbots, and recommendation systems.

Canonical page: https://skillsregistry.net/skills/xyz-picoads-picoads  
JSON: https://api.skillsregistry.net/v1/skills/xyz-picoads-picoads

## Description

Micro ad network for AI agents.

## Trust

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

## Facts

- **Version:** 0.21.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-09

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/xyz.picoads%2Fpicoads)

## Use it

MCP endpoint published by the skill: `https://picoads.xyz/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": "xyz-picoads-picoads"
    }
  }
}
```

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