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OriginLab MCP Server

by garethbeaumo
WARNING

Early v0.2 release - this project is still under active development. Features and APIs may change. It is suitable for testing and feedback, but not recommended for production use yet.


What Is OriginLab MCP Server?

OriginLab MCP Server is a bridge between AI clients and OriginLab. It lets you import data, create plots, customize figures, run analysis, and export results through natural-language requests instead of manually operating the Origin UI.

User: Import experiment.csv from my desktop into Origin, use the first column as X
      and the second column as Y, create a scatter plot, run a Gaussian fit,
      then export the graph as PNG.

AI: Done.
    Imported experiment.csv -> Sheet1 (200 rows x 5 columns)
    Created scatter plot -> Graph1
    Gaussian fit completed -> xc=2.35, w=0.82, A=156.3, R²=0.9987
    Exported -> C:\Users\Desktop\Graph1.png

How It Works

AI Client (Antigravity / Claude / Cursor)
       ↓ MCP over stdio
OriginLab MCP Server (Python)
       ↓ originpro + COM
OriginLab

Requirements

Requirement

Details

Operating system

Windows

OriginLab

OriginLab 2021 or later with a valid license

Python

3.10+

Quick Start

For AI assistants or one-command local setup, run this from the repository root:

powershell -ExecutionPolicy Bypass -File .\scripts\install-and-open.ps1

The script installs uv if needed, runs uv sync, starts the local status panel, and opens http://127.0.0.1:8765/ automatically. From that page you can test Origin and write MCP client configs.

Choose one installation method.

1. Install uv

irm https://astral.sh/uv/install.ps1 | iex

2. Install dependencies

cd C:\path\to\originlab-mcp
uv sync

3. Start the server

uv run originlab-mcp

1. Create a virtual environment (optional but recommended)

cd C:\path\to\originlab-mcp
python -m venv .venv
.venv\Scripts\activate

2. Install the project

pip install -e .

3. Start the server

originlab-mcp

After startup, the server waits for MCP client requests over stdio. The first tool call automatically connects to the local OriginLab installation.

Optional: Local Status Panel

To check whether the MCP server can start, whether Origin can be reached, and whether common client config files exist, start the local UI:

uv run originlab-mcp-ui

Then open http://127.0.0.1:8765/. This page can start/stop a debug MCP server subprocess, test the Origin connection, and write the originlab MCP configuration for Antigravity / Gemini, Cursor, Codex, Trae, and Claude Desktop. For normal use, the AI client should still start the server automatically from its configuration.

When updating an existing config file, the UI creates a .bak-timestamp backup first. To prevent the browser from opening automatically:

$env:ORIGINLAB_MCP_UI_NO_BROWSER = "1"
uv run originlab-mcp-ui

Features

The server provides 65 tools covering the OriginLab data workflow.

Data Management (14 Tools)

Category

Tools

Import

import_csv · import_excel · import_data_from_text

Inspect

list_worksheets · get_worksheet_info · get_worksheet_data · get_cell_value

Edit

set_column_designations · set_column_labels · set_column_formula

Manage

add_worksheet · sort_worksheet · clear_worksheet · delete_columns

Plotting (11 Tools)

Category

Tools

Create

create_plot · create_double_y_plot

Modify

add_plot_to_graph · remove_plot_from_graph · change_plot_data · change_plot_type

Layers

add_graph_layer · group_plots

Inspect

list_graphs · list_graph_templates · get_graph_info

Graph Customization (25 Tools)

Category

Tools

Axes

set_axis_range · set_axis_scale · set_axis_step · set_axis_title

Lines

set_plot_line_style · set_plot_line_width

Fonts and ticks

set_graph_font · set_tick_style

Colors

set_plot_color · set_plot_colormap · set_plot_transparency

Symbols

set_plot_symbols · set_symbol_size · set_symbol_interior

Group increments

set_color_increment · set_symbol_increment

Error bars

set_error_bar_style

Fill

set_fill_area

Legend

set_legend

Preset styling

apply_publication_style

Annotations

set_graph_title · add_text_label · add_line_to_graph · remove_graph_label

Analysis (3 Tools)

linear_fit · nonlinear_fit · list_fit_functions

Common Origin fit functions such as Gauss, Lorentz, ExpDec1, and Boltzmann are supported. You can provide initial parameters, fix parameters, and fit with error bars.

Export and Project Management (6 Tools)

export_graph · export_all_graphs · export_worksheet_to_csv · save_project · open_project · new_project

System Management (4 Tools)

get_origin_info · release_origin · reconnect_origin · close_origin

Advanced (2 Tools)

execute_labtalk · get_labtalk_variable

execute_labtalk is an escape hatch for operations not covered by standard tools. get_labtalk_variable safely reads LabTalk variable values.

Examples

Request

Typical tool call

Import data.csv into Origin

import_csv

Show worksheet columns and metadata

get_worksheet_info

Set the first column as X and the next two columns as Y

set_column_designations

Create a scatter plot

create_plot

Add another curve from the third column

add_plot_to_graph

Change the X-axis title and set the curve color to red

set_axis_title + set_plot_color

Apply a publication-style preset

apply_publication_style

Apply publication styling to layer 2 with line width 3 and symbol size 12

apply_publication_style

Run a Gaussian fit

nonlinear_fit

Set the Y axis to logarithmic scale

set_axis_scale

Export a graph as PNG

export_graph

Export all project graphs as SVG

export_all_graphs

Release Origin so I can use it manually

release_origin

apply_publication_style supports layer_index, axis-title font size, tick-label font size, legend font size, major tick length, minor tick count, line width, symbol size, and other common publication-figure settings.

Typical workflow:

Import data -> inspect structure -> set column designations -> create plot -> customize graph -> run analysis -> export results

Client Configuration

NOTE

You do not need to start the MCP server manually. Once configured, the AI client starts the server process when needed and communicates with it over stdin/stdout.

Replace paths with your actual project path.

You can also run uv run originlab-mcp-ui, choose a client in the local status panel, and let it write the config automatically. Manual examples are shown below.

Create .gemini/settings.json in the project root.

Using uv:

{
  "mcpServers": {
    "originlab": {
      "command": "uv",
      "args": ["--directory", "C:\\path\\to\\originlab-mcp", "run", "originlab-mcp"]
    }
  }
}

Using pip:

{
  "mcpServers": {
    "originlab": {
      "command": "C:\\path\\to\\originlab-mcp\\.venv\\Scripts\\originlab-mcp.exe"
    }
  }
}

Edit %APPDATA%\Claude\claude_desktop_config.json using the same format as above.

Create .cursor/mcp.json in the project root using the same format as above.

Create .trae/mcp.json in the project root using the same format as above.

Create .codex/config.json in the project root using the same format as above.

Testing

# uv
uv run python -m pytest tests/ -v

# pip, after activating the virtual environment
pytest tests/ -v

The basic test suite does not require OriginLab to be installed.

Project Structure

originlab-mcp/
├── pyproject.toml                # Project configuration and dependencies
├── CHANGELOG.md                  # Release notes
├── scripts/
│   └── install-and-open.ps1      # One-command setup and UI launcher
├── src/originlab_mcp/
│   ├── server.py                 # MCP server entry point and dependency injection
│   ├── ui.py                     # Local status panel
│   ├── origin_manager.py         # Thread-safe Origin COM connection manager
│   ├── exceptions.py             # Custom exceptions
│   ├── types.py                  # Protocol type definitions
│   ├── tools/
│   │   ├── data.py               # Data import and worksheet management (14)
│   │   ├── plot.py               # Plot creation and graph management (11)
│   │   ├── customize.py          # Graph customization (25)
│   │   ├── analysis.py           # Linear and nonlinear fitting (3)
│   │   ├── export.py             # Export and project management (6)
│   │   ├── system.py             # System and connection management (4)
│   │   └── advanced.py           # LabTalk escape hatch (2)
│   └── utils/
│       ├── constants.py          # Enums, defaults, and fit-function metadata
│       ├── helpers.py            # Graph/sheet resolution and error handling helpers
│       └── validators.py         # Input validation and standard response builders
└── tests/
    ├── test_helpers.py           # Helper tests
    ├── test_phase3.py            # LabTalk safety and resolve-pattern tests
    ├── test_tools.py             # Tool registration and integration tests
    └── test_ui.py                # Local status panel config tests

FAQ

Check that:

  • OriginLab 2021 or later is installed locally

  • You have a valid OriginLab license

  • The current user can start Origin

  • No other program is blocking the Origin COM interface

  1. Confirm the client configuration path is correct.

  2. Confirm dependencies are installed with uv sync or pip install -e ..

  3. Restart the MCP client.

  1. Check for outliers with get_worksheet_data.

  2. Provide better initial values through initial_params.

  3. Fix known parameters with fixed_params.

  4. Confirm that the fit function is appropriate. Use list_fit_functions to inspect common options.

License

MIT © 2025 garethbeaumo

A
license - permissive license
-
quality - not tested
C
maintenance

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