GenPark Chart Coordinates

Alpha-Park7

Calibrate linear chart axes and convert supplied bar or scatter pixel coordinates to values. Local Python MCP; no image recognition or logarithmic axes.

Install

Install and configure the MCP from https://github.com/Alpha-Park/genpark-multimodal-chart-data-point-extractor-skill now. Follow the repository's installation instructions, ask me for anything you can't complete yourself, and verify its tools load.

View source on GitHub

README

genpark-chart-coordinates

Calibrate linear chart axes and convert supplied bar or scatter pixel coordinates to values. No image recognition or logarithmic axes.

Python 3.9+; standard library runtime; MIT license.

Install and run

Download genpark-chart-coordinates.mcpb from GitHub Releases and install with an MCPB-compatible client. Python must be installed and available as python.

Alternatively clone this repository and configure an MCP stdio server with command python and arguments containing the absolute path to mcp_server.py.

Smithery listing

Tools

calibrate_axis_scale
extract_bar_chart_series
extract_scatter_points
run_benchmark_chart_extraction

Run python -m unittest discover -s tests for regression checks. The official MCP SDK integration check uses the development dependency mcp: python tests/check_mcp.py.

Limitations

These are deterministic helpers operating on supplied structured data, not machine-learning models. Input and output remain in the local process. No hosted endpoint, automatic file access or network access is required. State lasts only for the current process. Benchmark tools run synthetic examples in isolated state; their status is not a production-quality certification.

Bar outputs are axis values at their tops, not differences from the baseline. Supply slope/intercept calibration results; linear axes only.