# mcp

Remote MCP server that streams live AI trend summaries, heat scores, and context without requiring API keys. Useful for injecting fresh industry chatter into agent workflows.

- MCP server · `type=mcp` · Claude Code, Codex, Cursor, GitHub Copilot, Windsurf (Devin Desktop), Cline, Zed, Gemini CLI
- Author: buzzradr
- License: MIT · policy=link-only · description only; the file stays with the author
- Source: https://github.com/buzzradr/mcp
- Updated: 2026-08-29
- HTML: https://affpapa.org/en/nevibecode/mcp/buzzradr-mcp

## What it does

This server connects coding assistants to the BuzzRadr trend radar over Streamable HTTP. It delivers curated briefings that explain why specific topics are spreading across the web alongside source tallies and momentum metrics. Access is completely public and read-only.

The toolset covers four endpoints: `get_daily_digest` pulls roughly 12 leading stories, `list_trends` filters feeds by keywords and platforms, `get_topic` extracts single-topic details via `topicId`, and `get_source_health` reports feed ingest status. Available categories include `ai`, `jobs`, `finance`, `real-estate`, and `world-cup-2026`, with locale filters for `en` and `zh`.

## Requirements
- Remote server: `https://buzzradr.com/api/mcp`

## Install

### Claude Code (native platform)

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

### Codex

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

### Cursor

**Config file**
File `.cursor/mcp.json`:
```json
{
    "mcpServers": {
        "buzzradr-mcp": {
            "url": "https://buzzradr.com/api/mcp"
        }
    }
}
```

### GitHub Copilot

**Config file**
File `.vscode/mcp.json`:
```json
{
    "servers": {
        "buzzradr-mcp": {
            "type": "http",
            "url": "https://buzzradr.com/api/mcp"
        }
    }
}
```

### Gemini CLI

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

## When to use it
- fetch daily AI trend briefings directly into an assistant context
- inspect why specific developer tools or topics are spiking
- filter tech chatter by keywords, platform source, or locale
- verify data ingestion health across monitored feeds

## Example prompts
- What is trending in the AI ecosystem today?
- Show me the daily briefing for finance topics with why-trending context.
- List recent spikes about agents or Claude using list_trends.

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