OmniPlan MCP
An MCP (Model Context Protocol) server and CLI for reading and writing OmniPlan (.oplx) and Microsoft Project (.mpp) schedule files.
macOS only — AppleScript bridge required for .mpp and all write operations.
Installation
pip install omniplan-mcp
Or install from source in editable mode:
cd /Users/cygnus/work/github/omniplan-mcp
pip install -e .
Usage
CLI mode (human-friendly)
Read and display a schedule:
# Read a complete schedule
omniplan-mcp read schedule.oplx
# Show a high-level summary
omniplan-mcp summary schedule.oplx
# Search for tasks by name
omniplan-mcp search schedule.oplx "design"
# List all tasks (table or tree view)
omniplan-mcp tasks schedule.oplx
omniplan-mcp tasks schedule.oplx --tree
# List resources or dependencies
omniplan-mcp resources schedule.oplx
omniplan-mcp dependencies schedule.oplx
Modify a schedule (requires the document to be open in OmniPlan):
# Find a task's ID by name
omniplan-mcp lookup "Task Name"
# Mark a task as complete
omniplan-mcp set-done 258
omniplan-mcp set-done 258 --subtree
# Add/remove dependencies
omniplan-mcp add-dep 260 258
omniplan-mcp rm-dep 260 258
# Set duration (seconds, days, hours, or minutes)
omniplan-mcp set-duration 258 3d
omniplan-mcp set-duration 258 28800
# Add a new child task
omniplan-mcp add-task 258 "Subtask" 2d
# Rename, delete, clear constraints
omniplan-mcp rename 258 "New Name"
omniplan-mcp delete 258
omniplan-mcp clear-constraint 258
# Save the document
omniplan-mcp save
# JSON output (read commands)
omniplan-mcp read schedule.oplx --json
omniplan-mcp summary schedule.oplx --json
Get help:
omniplan-mcp --help
omniplan-mcp read --help
MCP server mode (for AI tools)
Start the MCP server in stdio mode:
omniplan-mcp serve
Configure your MCP host (e.g., Claude Code) to use it:
{
"mcpServers": {
"omniplan": {
"command": "omniplan-mcp",
"args": ["serve"]
}
}
}
Architecture
src/omniplan_mcp/
├── __init__.py # Version (__version__ = "0.5.0")
├── __main__.py # CLI entry point: delegates to cli.py
├── cli.py # CLI subcommands (click)
├── server.py # MCP server: tool definitions + output formatters
└── parser.py # Two parsing paths + write operations (AppleScript bridge)
tests/
└── test_parser.py # Unit tests with in-memory .oplx ZIPs
Dual-mode design
The package provides two interfaces from the same codebase:
- CLI mode (
omniplan-mcp read ...,omniplan-mcp set-done ...) — human-friendly terminal output - MCP server mode (
omniplan-mcp serve) — JSON-RPC over stdio for AI tools
Both share the same parser (parser.py) and AppleScript bridge.
Key design decisions
-
Dual parser architecture:
.mppfiles open OmniPlan and read via AppleScript's in-memory object model..oplxfiles parse XML directly (no OmniPlan needed). Both return identical 6-tuples:(projects, resources, tasks, violations, assignments, dependencies). -
Two ID systems: XML (.oplx) uses string IDs like
"t258". AppleScript uses sequential integers starting at 1. All write operations strip thetprefix automatically. -
Write operations work on the open OmniPlan document: Tools like
add_dependency,set_task_duration,clear_constraint_dategenerate AppleScript that targetsdocument 1ofapplication "OmniPlan". The document must be open. -
Read tools work from file (.oplx or .mpp):
read,summary,search,tasks,resources,dependenciesparse the file on disk. -
list_dependenciesreads from the baseline scenario, not the editing scenario.
Omni Automation JavaScript vs JXA
evaluate_omniplan_script uses Omni Automation JavaScript (not JXA/AppleScript JS). See the full explanation in the MCP server documentation.
Percent-complete computation
.oplx files store completion as effort-done / effort ratio. Group tasks compute completion bottom-up from children. Task status is computed: 100% → "finished", else compare end date to today.
Development
# Install in editable mode
pip install -e .
# Run tests
python -m pytest tests/ -v
# Build distribution
python -m build
Testing
Tests use a hand-crafted .oplx ZIP in memory (no real files). Add new test functions in tests/test_parser.py with inline XML constants. Tests cover: parsing, resource filtering, tree building, string parent IDs, percent-complete from effort, outline_depth, task_status, and Actual.xml preference.
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