# mcp-metricool

> Use this tool when you need to integrate social media metrics and campaign data into your AI workflow, or schedule posts across multiple platforms. It enables interaction with the Metricool API, providing inputs such as social media account credentials and outputs like engagement metrics and campaign performance data. Ideal for use cases requiring automated social media management and data analysis.

Canonical page: https://skillsregistry.net/skills/namdzmaso02-mcp-metricool  
JSON: https://api.skillsregistry.net/v1/skills/namdzmaso02-mcp-metricool

## Description

Enables AI agents to interact with Metricool API for social media metrics, campaign data, and scheduling posts.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lpoi2vlfbk)
- **Repository:** <https://github.com/namdzmaso02/mcp-metricool>

## 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": "namdzmaso02-mcp-metricool"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/namdzmaso02-mcp-metricool` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/namdzmaso02-mcp-metricool/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