# fansly-mcp

> fansly-mcp — aronjesusfj-lang-mcp-fansly. Use this tool when you need to analyze Fansly account performance and track key metrics, such as profile engagement, post performance, and top fans, using a self-hosted MCP server with local SQLite storage. It solves problems related to understanding audience behavior, identifying trends, and optimizing content strategy. Ideal for creators and managers seeking detailed insights into their Fansly account activity.

Canonical page: https://skillsregistry.net/skills/aronjesusfj-lang-mcp-fansly  
JSON: https://api.skillsregistry.net/v1/skills/aronjesusfj-lang-mcp-fansly

## Description

MCP server for Fansly account analytics using your own session, storing metrics in local SQLite. Provides tools for profile metrics, post performance, top fans, churn, and more.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/acha7jpdys)
- **Repository:** <https://github.com/aronjesusfj-lang/mcp-fansly>

## 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": "aronjesusfj-lang-mcp-fansly"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aronjesusfj-lang-mcp-fansly` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aronjesusfj-lang-mcp-fansly/pull`

---
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