Schema | ContextKeeper MCP Server

ContextKeeper MCP Server

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`	{}

Functions exposed to the LLM to take actions

Name	Description
list_context_itemsB	List all context items from ContextKeeper. Shows ID, content, project, tags, and completion status.
add_context_itemA	Add a new context item to ContextKeeper. Use this to track tasks, ideas, or notes.
mark_context_doneA	Mark a context item as completed using its ID (full UUID or 6-char prefix).
get_context_statusA	Get a summary of the context: total items, completed vs active counts, projects, and tags.
search_context_itemsA	Search context items by query string and/or tags. Returns matching items with their details.
remove_context_itemA	Remove (archive) a context item by ID. The item is soft-deleted and can be recovered.
edit_context_itemB	Edit an existing context item's content and/or tags using its ID.
sync_context_itemsB	Trigger a sync of context items to AI agent files. Updates the .context-keeper directory.
init_contextA	Initialize a new ContextKeeper directory with .contextkeeper folder and items.json file.

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

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

curl -X GET 'https://glama.ai/api/mcp/v1/servers/ondrahracek/contextkeeper-mcp'

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