Schema | Memento

Memento

Describes the environment variables required to run the server.

Name	Required	Description	Default
`MEMENTO_HOME`	No	Base directory for all storage	~/.memento
`MEMENTO_ADMIN_PORT`	No	Port for the admin web UI	3000

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": true }

Functions exposed to the LLM to take actions

Name	Description
memory_storeA	Create or update a memory. Provide an id to update an existing memory. Memories are persistent across sessions and searchable. Write content that is specific, front-loads key information, and covers one concept per entry.
memory_searchA	Search memories using BM25 ranking. Returns snippets (first ~150 chars), not full content. Use memory_recall to fetch full content for specific results. Scope searches with namespace and tags for better relevance.
memory_recallA	Fetch full content for specific memory IDs. Use after memory_search to retrieve complete entries for the most relevant results. Only recall what you actually need.
memory_deleteA	Soft-delete a memory by ID. The entry is excluded from future searches. Requires the namespace where the memory is stored.
memory_list_namespacesA	List all available namespaces with entry counts. Use this to discover what domains of knowledge exist before searching.

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/Kotrotsos/memento-core'

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