AIGC Radar MCP

io.github.Kaixxruav1.2.0Updated Oct 9, 2026

AI-vertical index: arXiv papers, curated GitHub AI projects, daily rankings. Zero-setup, read-only.

VerifiedStreamable HTTPWeb executableAI & ML

Overview

AI-generated overview

Lets an assistant query an AI-vertical index of arXiv papers, curated GitHub AI projects, and daily rankings.

What it does
AIGC Radar MCP connects an assistant to an AI-focused index covering arXiv papers, curated GitHub AI projects, and daily rankings. The registry description presents it as a zero-setup, read-only source, so it is used for looking up and browsing AI-related items rather than changing anything. No individual tools are listed in the manifest.
When to use it
Useful when an assistant needs to surface recent AI research papers, notable GitHub AI projects, or daily ranking information during a conversation. It suits read-only lookup and discovery tasks where no setup or credentials should be required.
Requirements
A remote streamable HTTP endpoint at No packages, accounts, API keys, environment variables, or headers are declared. Network access to the endpoint is required.
Before you install
The description states the server is read-only, so no write, send, or delete actions are expected. No credentials, keys, or environment variables are declared, and no payments are mentioned. Content is fetched from a third-party site, so queries and usage may be visible to that provider.

Installation

In SourceWeft

  1. Open AIGC Radar MCP in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Other MCP clients

Add this to your client's mcpServers config.

{
  "mcpServers": {
    "aigc-radar": {
      "type": "http",
      "url": "https://aigcnews.cn/api/mcp"
    }
  }
}

Tools

0
Tool metadata has not been indexed yet.

Version history

1
  1. v1.2.0LatestOct 9, 2026