# Nooticr

Pulls social posts, video frames, and comments across 10 platforms into your assistant. Useful for competitive research and brand monitoring.

- MCP server · `type=mcp` · Claude Code, Codex, Cursor, GitHub Copilot, Windsurf (Devin Desktop), Cline, Zed, Gemini CLI
- Author: Nooticr
- License: MIT · policy=link-only · description only; the file stays with the author
- Source: https://github.com/Nooticr/nooticr-mcp
- Updated: 2026-10-24
- HTML: https://affpapa.org/en/nevibecode/mcp/nooticr

## What it does

This MCP server exposes 169 tools to fetch social data across ten networks, including TikTok, YouTube, Reddit, and Instagram. It delivers uninterpreted material directly: post metrics, comment threads, up to 30 minutes of transcribed audio, and frame samples extracted via `ffmpeg`. The server does not process content with internal models; it hands raw data to your assistant.

Brand tracking covers both text and audio. The `search_mentions` tool looks for brand names inside comments across nine networks within a selected timeframe. For TikTok, Douyin, and YouTube, `search_spoken_mentions` identifies words spoken on camera that never appeared in typed captions.

Calls consume Nooticr credits, with 20 free credits granted on new accounts. Visual context has an overhead: each retrieved video frame takes roughly 1,200 tokens in your model window.

## Requirements
- Needs: Node.js (commands run via npx)
- Remote server: `https://mcp.nooticr.com/mcp`

## Install

### Claude Code (native platform)

1. **Platform CLI: remote server**
```bash
claude mcp add --transport http mcp https://mcp.nooticr.com/mcp
```

2. **Platform CLI**
```bash
claude mcp add nooticr -- npx -y @nooticr/mcp
```

### Codex

1. **Platform CLI: remote server**
```bash
codex mcp add nooticr --url https://mcp.nooticr.com/mcp
```

2. **Platform CLI**
```bash
codex mcp add nooticr -- npx -y @nooticr/mcp
```

### Cursor

**Config file**
File `.cursor/mcp.json`:
```json
{
    "mcpServers": {
        "nooticr": {
            "url": "https://mcp.nooticr.com/mcp"
        }
    }
}
```
File `.cursor/mcp.json`:
```json
{
    "mcpServers": {
        "nooticr": {
            "command": "npx",
            "args": [
                "-y",
                "@nooticr/mcp"
            ]
        }
    }
}
```

### GitHub Copilot

**Config file**
File `.vscode/mcp.json`:
```json
{
    "servers": {
        "nooticr": {
            "type": "http",
            "url": "https://mcp.nooticr.com/mcp"
        }
    }
}
```
File `.vscode/mcp.json`:
```json
{
    "servers": {
        "nooticr": {
            "type": "stdio",
            "command": "npx",
            "args": [
                "-y",
                "@nooticr/mcp"
            ]
        }
    }
}
```

### Gemini CLI

1. **Platform CLI: remote server**
```bash
gemini mcp add -t http nooticr https://mcp.nooticr.com/mcp
```

2. **Platform CLI**
```bash
gemini mcp add nooticr npx -y @nooticr/mcp
```

## When to use it
- extract video frames and audio transcripts from TikTok or YouTube
- track brand name occurrences in comments across nine networks
- find spoken brand mentions inside video audio tracks
- classify post comments by sentiment, complaints, and questions

## Example prompts
- Extract frames and the transcript from this video URL and break down the structure
- Find recent brand mentions in social comments from the past seven days using `search_mentions`
- Sort the comment section of this post by complaints and feature requests

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