# meta-business-insights-mcp

> meta-business-insights-mcp — kenjimattos-meta-business-insights-mcp. Use this tool when you need to analyze and aggregate Meta Business data from Facebook Pages and Instagram, to solve problems such as tracking follower growth and page insights across multiple accounts. It takes in API requests and outputs aggregated metrics and insights, providing a unified view of cross-account portfolio performance. Ideal for use cases requiring centralized management and analysis of social media presence.

Canonical page: https://skillsregistry.net/skills/kenjimattos-meta-business-insights-mcp  
JSON: https://api.skillsregistry.net/v1/skills/kenjimattos-meta-business-insights-mcp

## Description

MCP server for reading Meta Business (Facebook Pages and Instagram) data via Graph API, with cross-account portfolio aggregation to answer questions about follower growth, page insights, and metrics. It runs as a stdio or HTTP server for Claude Desktop.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vevbhcj01c)
- **Repository:** <https://github.com/mediacraft-cc/meta-business-insights-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": "kenjimattos-meta-business-insights-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kenjimattos-meta-business-insights-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kenjimattos-meta-business-insights-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