# creator-analysis-mcp

> creator-analysis-mcp — chanchilun2004-creator-analysis-mcp. Use this tool when you need to analyze and recommend content creators, or retrieve tagged media information, with a secure and authenticated API interface that supports OAuth and rate limiting for Claude clients. It solves problems related to content discovery, influencer research, and media analysis, providing outputs such as creator research data and tagged media information. Ideal for use cases requiring authenticated and rate-limited access to creator data, with inputs including API requests and OAuth credentials.

Canonical page: https://skillsregistry.net/skills/chanchilun2004-creator-analysis-mcp  
JSON: https://api.skillsregistry.net/v1/skills/chanchilun2004-creator-analysis-mcp

## Description

Remote MCP server that provides Creator Recommendation API tools (creator_research, creator_tagged_media, etc.) with secure authentication, rate limiting, and OAuth support for Claude clients.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bbkldiyhvb)
- **Repository:** <https://github.com/chanchilun2004/creator-analysis-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": "chanchilun2004-creator-analysis-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/chanchilun2004-creator-analysis-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/chanchilun2004-creator-analysis-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