Schema | Preference Memory MCP

Preference Memory MCP

Describes the environment variables required to run the server.

Name	Required	Description	Default
`PREFERENCE_MEMORY_DB`	No	Complete database path.	Platform user-data directory
`PREFERENCE_MEMORY_DATA_DIR`	No	Parent directory used when the database path is not set.	Platform user-data directory
`PREFERENCE_MEMORY_SAMPLING`	No	Sampling policy: auto, extraction-only, rerank-only, or never.	auto
`PREFERENCE_MEMORY_RECALL_LIMIT`	No	Default recall result limit; accepted range 1–50.	12
`PREFERENCE_MEMORY_MAX_CANDIDATES`	No	Sampling candidate limit; accepted range 1–5.	5
`PREFERENCE_MEMORY_RERANK_CANDIDATES`	No	Maximum semantic candidate-pool size; accepted range 1–50.	24
`PREFERENCE_MEMORY_MAX_STATEMENT_CHARS`	No	Stored statement limit; accepted range 3–1,200 and applied to direct and sampled candidates.	1200
`PREFERENCE_MEMORY_MAX_OBSERVATION_CHARS`	No	Observation limit before sampling; accepted range 1–50,000.	8000

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
memory_recallC	Recall active memories that match the current request and opaque scope selectors.
memory_observeC	Use host sampling to extract pending candidates without storing the raw observation.
memory_rememberC	Create a pending, structured memory proposal without invoking sampling.
memory_reviewA	List reviewable memories with cursor-based pagination.
memory_getA	Read one memory by its opaque identifier.
memory_resolveB	Approve, reject, or dispute a memory after a real form-elicitation response.
memory_forget	Purge one memory from live storage after form elicitation confirmation.

Interactive templates invoked by user choice

Name	Description
`memory_workflow`	Describe a safe recall, proposal, review, and feedback workflow.

Contextual data attached and managed by the client

Name	Description
`profile_summary`	Return active global memories without exposing scoped records.
`pending_review`	Return pending memory summaries as JSON.

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

curl -X GET 'https://glama.ai/api/mcp/v1/servers/efficjump/preference-memory-mcp'

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