Origin Pro Mcp Skill

Origin Pro MCP Skill Package

English | [中文说明](README.zh-CN.md)

Origin Pro MCP Skill Package is a Windows-first MCP server and Codex/Claude-style skill package for controlling OriginLab Origin Pro through COM automation. It lets an AI assistant create workbooks, write and read worksheet data, import CSV files, build graphs, apply publication-style formatting, run curve fitting, execute LabTalk, export figures, and save/load Origin projects.

This repository is a sanitized, reusable package. It does not contain personal API keys, Zotero configuration, local workspace state, generated experiment outputs, or machine-specific MCP configuration.

Features

• Origin Pro COM automation through Origin.ApplicationSI
• 23 MCP tools for project, worksheet, graph, style, fitting, export, and LabTalk workflows
• File-verified graph export using Origin expGraph
• CSV import that respects the requested Origin workbook name and avoids Origin impasc side effects
• Publication figure workflow in skills/publication-figure.md
• Pytest coverage with Origin-aware skip behavior for machines without Origin installed

Requirements

• Windows
• Origin Pro 2020 or newer, installed and able to start
• Python 3.10 or newer, using Windows Python rather than WSL Python
• Python packages: mcp, pywin32, Pillow

Install

git clone https://github.com/leima-max/origin-pro-mcp-skill.git
cd origin-pro-mcp-skill
python -m pip install -e .

Start Origin Pro before calling tools that need COM automation.

MCP Configuration

Use either the installed console command:

{
  "mcpServers": {
    "origin-pro": {
      "command": "origin-pro-mcp"
    }
  }
}

Or run the local server file directly:

{
  "mcpServers": {
    "origin-pro": {
      "command": "python",
      "args": ["-u", "PATH_TO_REPO/server.py"]
    }
  }
}

A sanitized example is available at examples/mcporter.example.json.

Quick Smoke Test

python -m pytest -q

On machines without Origin Pro, Origin-dependent tests are skipped. On a Windows machine with Origin Pro available, the integration tests exercise the real COM workflow.

You can also verify tool registration without starting Origin:

python -c "import origin_pro_mcp.server; from origin_pro_mcp.app import mcp; print(len(mcp._tool_manager._tools))"

Expected output: 23.

Typical AI Workflow

1. Start Origin Pro.
2. Ask the assistant to create or import worksheet data.
3. Create a graph from worksheet columns.
4. Apply publication style in one call.
5. Fit a curve if needed.
6. Export figures and verify that files were created.

Example tool flow:

new_project()
create_worksheet(book_name="Data", sheet_name="Sheet1")
set_worksheet_data(
    book_name="Data",
    sheet_name="Sheet1",
    columns="[[0,1,2,3],[0.02,0.08,0.18,0.36],[0.11,0.42,0.90,1.62]]",
    column_names="Bias,Dark,Light"
)
create_graph(graph_name="Fig1", data_book="Data", data_sheet="Sheet1", x_col=1, y_col=2, plot_type="line+symbol")
add_plot_to_graph(graph_name="Fig1", data_book="Data", data_sheet="Sheet1", x_col=1, y_col=3, plot_type="line+symbol")
apply_publication_style(
    graph_name="Fig1",
    x_label="Voltage (V)",
    y_label="Current density (mA cm^-2)",
    x_min=0,
    x_max=3,
    y_min=0,
    y_max=2,
    legend_entries="Dark,Light",
    legend_position="top-left"
)
export_graph(graph_name="Fig1", file_path="OUTPUT_DIR/Fig1.png")

MCP Tools

Project:

• new_project
• save_project
• load_project

Worksheet and data:

• create_worksheet
• set_worksheet_data
• get_worksheet_data
• import_csv_to_worksheet
• list_worksheets

Graphing:

• create_graph
• add_plot_to_graph
• set_axis_labels
• set_axis_range
• export_graph
• export_all_graphs

Styling:

• apply_publication_style
• set_plot_style
• set_graph_font
• set_legend
• set_tick_style

Analysis:

• curve_fit
• list_fitting_functions

Advanced:

• run_labtalk
• get_labtalk_variable

Notes and Known Constraints

• Origin COM only works from Windows Python.
• The first COM connection can take several seconds if Origin is cold-starting.
• If Origin shows a blocking dialog, MCP calls may wait or time out.
• export_graph uses expGraph with a directory path and a separate filename; the tool verifies output file existence and size.
• import_csv_to_worksheet parses CSV in Python and writes columns through COM to avoid impasc auto-generated sparkline graph pages.

Security and Sanitization

This package intentionally excludes:

• local config/mcporter.json
• API keys and token files
• Zotero or other third-party connector settings
• local workspace memory, logs, and generated experiment output
• user-specific absolute paths

Before publishing derived versions, run a secret scan for keys, tokens, passwords, local connector names, and machine-specific paths. For example:

rg -n "key|token|secret|credential|password|local_user_path|connector_specific_env"

License

MIT. The original upstream package is credited in pyproject.toml project metadata and source history notes.

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: leima-max
• Source: leima-max/origin-pro-mcp-skill
• License: MIT

Install and usage instructions live in the source repository linked above.