Langgraph MCP Dataanalysis
This project builds a data statistical analysis Agent based on Python. Through the MCP server and client architecture, combined with the LangGraph Agent, it realizes data statistics, visualization, and modeling functions.
rating : 2 points
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What is the Data Statistical Analysis Agent?
This is a Python-based data analysis tool that interacts with the MCP server through the LangGraph Agent and can perform data statistics, visualization, and machine learning modeling tasks. It is particularly suitable for users who need to quickly analyze data but do not want to write complex code.How to use the Data Statistical Analysis Agent?
Simply install the necessary Python packages, run the server and client, and then tell the Agent the data analysis tasks you want to perform through natural language instructions.Applicable Scenarios
Suitable for data analysts, researchers, or any users who need to quickly obtain data insights. Particularly suitable for exploratory data analysis and rapid prototyping.Main Features
Data Statistical AnalysisCalculate basic statistics (mean, standard deviation, etc.) of data columns
Data VisualizationGenerate various charts for data distribution and relationships
Machine Learning ModelingTrain simple prediction models and evaluate the results
Advantages and Limitations
Advantages
Complete complex data analysis without writing code
Support natural language interaction, easy to use
Based on the MCP protocol, highly scalable
Limitations
Currently only support CSV format data
Limited complexity of machine learning models
Require a Python environment to run
How to Use
Install Dependencies
Install the necessary Python packages using pip
Start the Server
Run the data server
Run the Client
Start the client program to interact with the Agent
Usage Examples
Data Statistical AnalysisGet the statistical information of a column in the dataset
Data VisualizationGenerate a data distribution chart
Machine Learning ModelingTrain a prediction model
Frequently Asked Questions
What data formats are supported?
What Python version is required?
How large data files can be processed?
Related Resources
Python SDK
Official repository of the MCP Python SDK
LangChain MCP Adapter
Integration adapter between LangChain and MCP
AI Agent Course
AI Agent practical course including this project
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