Aiyucha MCP Server

AIYuCha MCP Server — Domain Intelligence for ChatGPT & AI Agents

Domain valuation · RDAP / WHOIS registration signals · ICP filing research · Domain history · Domain risk assessment · Domain comparison

AIYuCha is a domain intelligence research service. This standalone Model Context Protocol (MCP) server makes five domain-analysis tools accessible to ChatGPT and MCP-compatible AI clients over HTTPS Streamable HTTP.

Live MCP endpoint: https://aiyucha.com/mcp
Official website: AIYuCha.com · 中文站
OpenAI demonstration: Video walkthrough
Protocol: MCP / Streamable HTTP · Implementation: Python

The public MCP endpoint does not require users to register, supply an API key, connect a wallet, or make a payment. The server has its own separately managed research budget. It does not buy, transfer, or modify domains.

Domain intelligence tools

Typical use cases: compare brand domains, research an aged domain before acquisition, assess a name's structural value, inspect public registry status, investigate available China ICP filing signals, and support domain due diligence.

Scope: The service examines public, registrable root domain names. It rejects URLs, IP addresses, localhost/private addresses, hostnames, and paths. Results identify source availability and distinguish observed records from estimates. They do not establish trademark clearance, registration availability, historic abuse, or actual sale price.

Connect your AI client

Use the hosted endpoint to connect any client that supports remote MCP over Streamable HTTP. Configuration formats vary by client; a common example is:

{
  "mcpServers": {
    "aiyucha-domain-intelligence": {
      "type": "streamable-http",
      "url": "https://aiyucha.com/mcp"
    }
  }
}

For ChatGPT/OpenAI, use the official MCP/plugin connection flow offered in your account and select the same URL. The public GitHub repository is not evidence of OpenAI directory approval or publication.

Example prompts

• “Analyze the branding potential of cloudnova.com using AIYuCha.”
• “Estimate the structural value of example.com and explain the factors.”
• “Find available RDAP registration and ICP evidence for example.com.”
• “Check observed registry risk signals for iana.org.”
• “Compare aiagent.com versus ai-agent.com for a new brand.”

Run locally

Requires Python 3.11+. Clone this repository, then run:

python -m venv .venv
source .venv/bin/activate
python -m pip install -e ".[test]"
aiyucha-mcp

Local Streamable HTTP endpoint: http://127.0.0.1:8765/mcp. By default, the standalone server can use public official-registry RDAP and sampled Internet Archive evidence. Production-style AIYuCha SaaS evidence calls require an independently authorized backend service key; never commit keys.

Optional operator-only configuration:

export AIYUCHA_MCP_BACKEND_URL=https://aiyucha.com
export AIYUCHA_MCP_API_KEY_FILE=/secure/path/to/service-key
# Optional expanded sources; disabled by default in hosted production:
# export AIYUCHA_MCP_EXTENDED_SOURCES=1
aiyucha-mcp

Use a trusted HTTPS reverse proxy when hosting publicly. The process binds to loopback by default. Restrict unauthenticated traffic at the edge and protect the backend key outside this repository.

Docker

docker build -t aiyucha-mcp-server .
docker run --rm -p 127.0.0.1:8765:8765 aiyucha-mcp-server

Tests

python -m pytest -q tests/test_intelligence.py tests/test_backend.py tests/test_protocol.py

The source follows a small, independently deployable layout:

• src/aiyucha_mcp/server.py — five tools, MCP transport, annotations and request logging
• src/aiyucha_mcp/intelligence.py — domain validation, name analysis, official RDAP and history evidence
• src/aiyucha_mcp/backend.py — optional existing AIYuCha SaaS query bridge, scoped facts and idempotency
• tests/ — protocol and tool regression tests
• submission/ — OpenAI-compatible metadata, icon, and review examples
• docs/ — bilingual usage, integration scope and publication notes

How the domain data is interpreted

The default hosted evidence profile favors RDAP + ICP for domain history and RDAP for risk signals. Internet Archive, extended website-history, backlinks, and network observations are available only when an operator deliberately enables supported upstream integrations. Local fallback behavior differs when no AIYuCha backend credential is configured.

A heuristic domain valuation is not a recorded sale, professional appraisal, auction quote, or investment promise. A missing or unreachable data source is reported as unavailable, not silently converted into “no risk.” Registrant personal details are not exposed in the public response.

中文说明：爱域查域名智能分析 MCP

爱域查 MCP Server 将域名价值评估、RDAP / WHOIS 注册局信息、ICP 备案线索、域名历史查询、域名风险信号与域名对比接入 ChatGPT 和其他支持 Model Context Protocol 的 AI 客户端。

• 域名价值评估： 根据域名长度、后缀、字符结构和命名特征，给出可解释的结构估值参考。
• 老域名及域名历史研究： 默认可调用注册局 RDAP 和 ICP 相关线索，其他历史数据源按实际配置启用。
• 域名风险查询： 基于真实可取得的注册状态信号判断，缺失数据明确标注。
• 域名对比： 将两个域名的品牌命名优势与结构分数并列展示。
• ChatGPT 接入： 通过 https://aiyucha.com/mcp 直接连接，无需终端用户注册爱域查账户。

更多域名查询服务请访问 爱域查。此仓库只公开独立的对外 MCP 服务与提交资料，不包含爱域查 SaaS、Core、多节点执行器、用户钱包或生产密钥。

Privacy, support & submission

• Privacy Policy
• Terms of Service
• Support
• OpenAI review material · Review example cases

AIYuCha Domain Intelligence is a research integration, not a domain registrar, checkout, certificate of ownership, or guarantee of future revenue. Public-source results depend on provider availability. The repository is maintained separately from the site's operational infrastructure.

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Relevant topics: model-context-protocol, mcp-server, chatgpt-mcp, openai-mcp, domain-intelligence, domain-valuation, domain-history, rdap, whois, icp-filing, domain-risk, domain-comparison, python.