pluginintermediateGeneral AI

Agents-Radar: Daily AI Ecosystem Reports via MCP Plugin

This tool automatically gathers the latest AI news, research papers, and trending projects from ten different sources every day. It provides this information as a daily briefing, accessible directly within your AI coding assistant to keep your team informed without manual searching.

AI SETUP PROMPT

Paste into Claude Code or Codex CLI — it will scan your project and set everything up

# Install & Configure: Agents-Radar: Daily AI Ecosystem Reports via MCP Plugin

## What This Is
This tool automatically gathers the latest AI news, research papers, and trending projects from ten different sources every day. It provides this information as a daily briefing, accessible directly within your AI coding assistant to keep your team informed without manual searching.

Source: https://github.com/duanyytop/agents-radar/issues/353

## Before You Start

Scan my workspace and analyze:
- The project language, framework, and directory structure
- Existing agent configuration (check for .claude/, .codex/, CLAUDE.md, settings.json, commands/, skills/ directories)

Then ask me before proceeding:
1. Do I need to configure any service credentials for this plugin (database, API keys, etc.)?
2. Should this be project-scoped or global?

## What to Implement

This is an **Agent Plugin** — typically an MCP server or capability bundle.

- Install any required npm/pip packages from the source repository
- Register the MCP server in `.claude/settings.json` under the `mcpServers` key with the correct command and args
- Configure any required environment variables or credentials
- Verify the server starts correctly by checking its expected output

## Additional Context

- Locate the Model Context Protocol (MCP) configuration file for the user's AI agent (e.g., `claude_desktop_config.json` for Claude Desktop) and add the 'agents-radar' server by inserting the provided JSON snippet.
- After updating the configuration, verify the connection by instructing the agent to connect to the new MCP server and list the available tools, which should include `list_reports`, `get_latest`, `get_report`, and `search`.
- Execute a test command by using the `get_latest` tool to fetch the most recent English-language daily report and present a concise summary of its contents to the user.

## Reference Implementation

```
```json
{
  "mcpServers": {
    "agents-radar": {
      "url": "https://agents-radar-mcp.duanyytop.workers.dev"
    }
  }
}
```
```

## Guidelines

- Adapt everything to my existing project — do not assume a specific stack or directory layout
- Review any fetched code for safety before installing or executing it
- After setup, run a quick verification and show me a summary of exactly what was installed, where, and how to use it

2,354 charactersCompatible with Claude Code & Codex CLI

MANUAL SETUP STEPS

01Locate the Model Context Protocol (MCP) configuration file for the user's AI agent (e.g., `claude_desktop_config.json` for Claude Desktop) and add the 'agents-radar' server by inserting the provided JSON snippet.
02After updating the configuration, verify the connection by instructing the agent to connect to the new MCP server and list the available tools, which should include `list_reports`, `get_latest`, `get_report`, and `search`.
03Execute a test command by using the `get_latest` tool to fetch the most recent English-language daily report and present a concise summary of its contents to the user.

CODE INTELLIGENCE

bash

```json
{
  "mcpServers": {
    "agents-radar": {
      "url": "https://agents-radar-mcp.duanyytop.workers.dev"
    }
  }
}
```

FIELD OPERATIONS

AI Trend Analysis Dashboard

Build a weekly trend analysis dashboard. Use the `agents-radar` plugin to fetch daily reports for a week. Extract keywords, repository names, and paper titles. Use a language model to synthesize the key trends, rising stars, and dominant themes, and display the results in a web dashboard.

Personalized Research Paper Notifier

Create a personalized research paper filtering agent. The agent would use the `agents-radar` plugin to get the latest AI papers from ArXiv daily, then filter them based on user-defined keywords (e.g., 'agentic workflows', 'multimodality'). For each matching paper, it generates a one-paragraph summary and sends it to the user via email or a Slack message.

STRATEGIC APPLICATIONS

→A venture capital analyst can use an AI agent with the `agents-radar` plugin to automatically scan for new AI startups on Product Hunt, trending open-source projects on GitHub, and breakthrough research on ArXiv. The agent flags entities matching the firm's investment thesis, saving hours of manual competitive intelligence work.
→An R&D team lead can automate a daily briefing by having an agent query the `agents-radar` `search` tool for mentions of key competitors or core technologies. The agent synthesizes a report on competitor activity and emerging techniques, directly informing the company's product roadmap.