Schema | pymnifocus

pymnifocus

Describes the environment variables required to run the server.

Name	Required	Description	Default
No arguments

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{ "listChanged": false }
`prompts`	{ "listChanged": false }
`resources`	{ "subscribe": false, "listChanged": false }
`experimental`	{}

Functions exposed to the LLM to take actions

Name	Description
dump_databaseC	Get the complete current state of your OmniFocus database. Best for comprehensive analysis.
query_omnifocusA	Efficiently query OmniFocus database with filters. Get specific tasks, projects, or folders. Task filters include completedAfter and completedBefore (ISO date or datetime, local timezone) to restrict by completionDate; set include_completed true or completed tasks are excluded first.
add_omnifocus_taskC	Add a new task to OmniFocus.
add_projectC	Add a new project to OmniFocus.
remove_itemA	Remove a task or project from OmniFocus. Provide either id or name.
edit_itemC	Edit a task or project in OmniFocus.
batch_add_itemsB	Add multiple tasks or projects in a single operation (max 100).
batch_remove_itemsB	Remove multiple tasks or projects in a single operation (max 100).
list_perspectivesB	List all available perspectives in OmniFocus.
get_perspective_viewC	Get items visible in a specific OmniFocus perspective.
list_tagsB	List all tags in OmniFocus with their hierarchy.

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
`resource_inbox`	Current OmniFocus inbox items.
`resource_today`	Today's agenda: due today, planned today, overdue.
`resource_flagged`	All flagged OmniFocus items.
`resource_stats`	Quick OmniFocus database statistics.

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/vdanen/pymnifocus'

If you have feedback or need assistance with the MCP directory API, please join our Discord server