beike-xiaoqu-research通过 mcp-chrome 插件抓取贝壳找房数据,支持两种模式:(1) 单小区深度四步研究(详情/在售/成交);(2) 按地区批量发现并筛选符合条件的小区,再对候选清单做 PAL MCP 多模型 consensus 综合评估。适用场景:查贝壳小区信息、按区域发现候选小区、多模型评估买房方案。需要用户已安装 mcp...
Install via ClawdBot CLI:
clawdbot install eddiexux/beike-xiaoqu-researchGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → http://127.0.0.1:12306/mcpPotentially destructive shell commands in tool definitions
exec(Calls external URL not in known-safe list
http://127.0.0.1:12306/mcpAI Analysis
The skill interacts with a local MCP Chrome plugin on port 12306, which is a documented dependency for its stated purpose of scraping Beike housing data. This appears to be legitimate tool usage rather than unauthorized data exfiltration. However, the skill does execute shell commands and interact with external websites (beike.com), creating potential attack surface if the underlying scripts contain vulnerabilities.
Generated Mar 26, 2026
Home buyers can use this skill to conduct in-depth research on a specific residential community (xiaoqu) by fetching detailed information, current listings, and historical transaction data from Beike. This helps them assess property value, market trends, and neighborhood amenities before making a purchase decision.
Real estate agents can leverage the region discovery mode to batch-find and filter candidate communities in specific areas based on criteria like price range, building age, and availability. This aids in identifying potential listings, understanding local market dynamics, and targeting clients with suitable properties.
Property investors can utilize the skill to gather comprehensive data on multiple communities, then apply the optional PAL MCP consensus evaluation for multi-model analysis. This supports risk assessment, comparative valuation, and strategic decision-making for real estate investment portfolios.
Urban planners and developers can use the skill to analyze community characteristics, such as building types, green rates, and metro accessibility, across different districts. This provides insights into housing supply, demographic trends, and infrastructure needs for planning purposes.
Researchers and academics can employ the skill to collect structured data from Beike for studies on housing prices, transaction volumes, and community attributes. The batch discovery and detailed parsing features facilitate large-scale data analysis and trend modeling in real estate economics.
Offer processed Beike data through APIs or dashboards to real estate platforms, enabling them to enhance their listings with detailed community insights, market analytics, and automated valuation models. Revenue can be generated via subscription fees or pay-per-use data access.
Provide personalized consulting services where experts use the skill to generate detailed reports and recommendations based on community research. This includes property comparisons, investment advice, and market forecasts, with revenue from one-time fees or ongoing retainer agreements.
Integrate the skill into existing customer relationship management (CRM) or marketing automation tools used by real estate agencies. This allows agents to automate data collection for client proposals, lead generation, and targeted marketing campaigns, with revenue from licensing or integration fees.
💬 Integration Tip
Ensure mcp-chrome is running on port 12306 and mcporter is configured with a PAL server before use to avoid dependency errors.
Scored Jun 24, 2026
Audited Apr 16, 2026 · audit v1.0
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