mindsdb-mcp-skillMindsDB MCP服务器交互技能,用于通过自然语言查询和操作200+企业级数据源。当用户需要查询数据库、分析数据、创建AI模型、连接数据源(MySQL、PostgreSQL、MongoDB、Excel、CSV、Gmail、Slack等)、执行SQL查询、进行数据预测、构建知识库(RAG)、智能问答、文档检索或...
Install via ClawdBot CLI:
clawdbot install yejinlei/mindsdb-mcp-skillGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → http://localhost:47334/api/modelsCalls external URL not in known-safe list
https://docs.mindsdb.comUses known external API (expected, informational)
azure.comAudited Apr 17, 2026 · audit v1.0
Generated Mar 21, 2026
Analyze regional sales data from 2024 to identify growth trends and anomalies. The skill automatically queries data, groups by region, calculates metrics, and generates a report with visual suggestions, helping retailers optimize inventory and marketing strategies.
Predict which customers are likely to churn by creating a predictive model using historical data. The skill trains the model, identifies high-risk customers, and provides intervention recommendations to improve retention rates.
Build a RAG-based knowledge base by importing PDF manuals and configuring embedding models. The skill enables intelligent Q&A, allowing support agents to quickly retrieve solutions for device errors like 0xE1, reducing resolution time.
Query current inventory levels from a PostgreSQL database and compare them to safety stock thresholds. The skill identifies low-stock products, generates replenishment suggestions, and automates reporting for efficient supply chain management.
Analyze user behavior data from MongoDB to create a recommendation model. The skill generates personalized product suggestions with confidence scores, enhancing user engagement and increasing sales conversion rates.
Offer the skill as a subscription service for non-technical users in small businesses, providing natural language access to data analysis and AI predictions. Revenue is generated through monthly or annual fees based on usage tiers and data source connections.
Provide custom integration and training services for large enterprises needing advanced database management and predictive analytics. Revenue comes from project-based fees for setup, customization, and ongoing support tailored to specific industry needs.
Offer a free version with basic query capabilities and limited data sources, while charging for premium features like advanced AI models, RAG knowledge bases, and priority support. Revenue is driven by upgrades and add-ons for power users.
💬 Integration Tip
Start by connecting to a single data source like CSV or MySQL to test queries, then gradually add more sources and AI models as users become familiar with the natural language interface.
Scored Apr 19, 2026
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