Windsor
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Enables large language models to query, explore, and analyze full-stack business data from integrated sources without SQL.
About
Windsor MCP (Model Context Protocol) empowers large language models to interact with, query, and analyze comprehensive business data integrated through Windsor.ai. It facilitates real-time access to performance marketing, sales, and customer data from over 325 platforms, allowing AI-native tools like Claude, Perplexity, and Cursor to derive valuable insights without requiring SQL or custom scripting.
Key Features
- Natural language interface for business data queries via LLMs
- Integrates with over 325 business data sources via Windsor.ai
- Zero-code setup for connecting to LLM platforms
- Compatible with open MCP standards (e.g., Claude, Perplexity, Cursor)
- Provides real-time analytics and performance insights without SQL
- 0 GitHub stars
Use Cases
- Analyzing marketing campaign performance and advertising spend
- Gaining insights into sales pipelines and customer data
- Identifying campaign anomalies and optimizing budget allocation through natural language queries
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