Chen-zexi/open-ptc-agent

An open source implementation of code execution with MCP (Programatic Tool Calling)

52
/ 100
Established

This project helps data analysts and researchers tackle complex data analysis tasks by allowing an AI agent to write and execute Python code in a secure environment. Instead of manual scripting or step-by-step tool calls, you provide a high-level task, and the agent generates the full Python workflow, processes large datasets like financial market data, and returns only the final, relevant results. It's designed for users who need to process, filter, aggregate, or visualize large volumes of structured or time-series data efficiently.

693 stars.

Use this if you need an AI to automate complex data processing, analysis, or transformation tasks by generating and running its own code, especially with large datasets like financial time series.

Not ideal if your tasks involve simple, one-off data lookups that don't require complex code orchestration or extensive data manipulation.

data-analysis financial-modeling time-series-analysis automated-reporting quantitative-research
No Package No Dependents
Maintenance 10 / 25
Adoption 10 / 25
Maturity 13 / 25
Community 19 / 25

How are scores calculated?

Stars

693

Forks

80

Language

Python

License

MIT

Last pushed

Jan 21, 2026

Commits (30d)

0

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