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Aggregators and gateways · MCP server

AIHOT: MCP server, setup and security

AIHOT is an open-source MCP server published on GitHub that lets an AI agent search Chinese AI news and read daily, weekly, or monthly briefs. Its repository has 8,546 stars and its last commit is from October 24, 2026 and it is licensed under MIT.

Score
84/100
Adoption (stars) 39/40
Maintenance 30/30
Framework (licence, registry, official) 15/30
Actively maintainedRemote serverTop 10% by stars

What AIHOT does

According to its repository: “Chinese AI news: search topics, explore hot events, and read daily, weekly and monthly briefs.”

The Model Context Protocol (MCP) is a standard plug between an AI agent and an outside service: once the server is connected, its tools show up in the agent, which decides when to call them. AIHOT is listed under Aggregators and gateways, a category of 141 servers in the directory, where it ranks #4 by stars.

Topics declared by the repository: news-aggregator, rss, self-hosted, content-curation, typescript, chinese.

Installing and connecting AIHOT

Distribution modes declared in the official MCP registry:

  • remote server (streamable-http): you connect to it by URL, with nothing to install locally

It works with any MCP-compatible client (Claude Desktop, Claude Code, Cursor, VS Code, Codex and most recent agents). You add one entry to the client's MCP configuration: server name, start command or URL, environment variables. Project language: TypeScript.

Security: what to check

Connecting an MCP server means installing software that talks straight to your agent: it runs with your rights and the model trusts its tool descriptions. The risk therefore depends on what it can touch and how far its code can be trusted.

None of the risk signals we track (system access, secrets, missing licence, abandonment) applies to AIHOT. That does not replace reading the code.

Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.

Project activity and maintenance

Created on September 28, 2026, the KKKKhazix/AIHOT repository has 8,546 stars and 2,042 forks, with 2 open issues. It has more stars than 98% of the servers in the directory. It received changes this month. Version published in the registry: 2.0.0 (October 10, 2026).

Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.

PaperclipPaperclip : 106.8K106.8KOpenWork MCP GatewayOpenWork MCP Gateway : 24.2K24.2KGitDiagramGitDiagram : 18.4K18.4KAIHOTAIHOT : 8.5K8.5KBasebalance.cloud — x402 RPCBasebalance.cloud — x402 RPC : 7.5K7.5KTreg.toTreg.to : 6K6KMockserver monorepoMockserver monorepo : 5K5KDBHubDBHub : 3.7K3.7K
GitHub stars of the most followed servers in the category (log scale); AIHOT in orange. Checked October 25, 2026.

Verdict

AIHOT is one of the most solid servers in its category: followed, maintained and well framed.

Strengths

  • Active project: recent commit
  • Widely followed: 8.5K stars
  • Listed in the official MCP registry
  • Usable remotely, without installation
  • Permissive licence (MIT)

Frequently asked questions

How do I install AIHOT?

AIHOT is distributed as a remote server. Add it to your client's MCP configuration (Claude Desktop, Cursor, VS Code…) following the README of KKKKhazix/AIHOT.

Is AIHOT free?

The code is published under the MIT licence and can be used free of charge.

Is AIHOT safe?

No risk signal found (system access, secrets, licence, abandonment). As with any MCP server, keep rights minimal and read the code before sensitive use.

Is it an official server?

Nothing says so: it is a project published by KKKKhazix on GitHub. Check who maintains it before giving it access.

What are the alternatives to AIHOT?

In the same category: GitDiagram, Mockserver monorepo, Paperclip, and Basebalance.cloud — x402 RPC & MCP gateway.

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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score