InsightFlow
by ilissrk
InsightFlow is an advanced analytics platform that combines real-time data processing with AI-powered insights using the Model Context Protocol (MCP). It provides seamless integration with Claude AI for intelligent data analysis and decision support.
Last updated: N/A
What is InsightFlow?
InsightFlow is an advanced analytics platform that leverages real-time data processing and AI insights through the Model Context Protocol (MCP). It integrates with Claude AI to provide intelligent data analysis and decision support capabilities.
How to use InsightFlow?
To use InsightFlow, first clone the repository, set up a virtual environment, install dependencies, configure the environment using config.yaml and .env files, and then start the server using python app/main.py. Access the API documentation at http://localhost:8000/docs to interact with the platform's features.
Key features of InsightFlow
MCP Integration
Real-time Analytics
AI-Powered Insights
Flexible Data Processing
RESTful & WebSocket APIs
Use cases of InsightFlow
Data Analysis
Query Data
Generate Insight
Trend Identification
FAQ from InsightFlow
What is MCP Integration?
What is MCP Integration?
Full support for Model Context Protocol, enabling advanced AI capabilities.
What is Real-time Analytics?
What is Real-time Analytics?
Process and analyze data streams in real-time.
What AI is used?
What AI is used?
Leverage Claude AI for intelligent data interpretation.
What data sources are supported?
What data sources are supported?
Support for multiple data sources and formats.
What APIs are available?
What APIs are available?
Comprehensive API support for various integration needs through REST and WebSocket APIs.