Schema | Strata Memory MCP Server

Strata Memory 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`	{}
`resources`	{}

Functions exposed to the LLM to take actions

Name	Description
strata_initA	First-time initialization with dual-mode setup. Choose 'personal' (CBT safety, 48h cooling) or 'company' (multi-tenancy, AuditLog, private embedding).
memorizeB	Record a conversation/fact into memory with psych-validated metadata (emotional_salience, context_tags, is_negative_schema). Writes Markdown drawer + vector index.
wake_upC	Session wake-up: L0 profile + L1 diary + L2 semantic search with CBT defusion for negative schemas. Returns flat Markdown.
searchB	Active semantic search across L2 memories with time/category/tag filters and state-dependent boosting.
get_healthA	Runtime status: initialized, mode, CBT, audit, vector/drawer count, config summary.
get_system_profileA	[Agent-Driven] Silent hardware profiling. Returns OS, RAM, CPU cores, GPU accelerator. No user input required — call this first during onboarding.
search_embedding_recommendationsA	[Agent-Driven] Return ranked embedding recommendations based on hardware profile. Gets best-fit local/cloud models from MTEB-informed lookup table.
apply_memory_configA	[Agent-Driven] Apply chosen memory configuration: persist config, initialize Palace directories, ChromaDB, SQLite. Supports hot reload — no MCP restart needed.

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
`Onboarding Guide`	Dual-mode initialization steps (personal + company).
`Agent-Driven Setup Guide`	[Agent-Driven] Dynamic setup instructions for the AI agent. Read this first during onboarding to learn the Agent-Driven initialization flow.
`Memory Statistics`	System stats: drawer/vector count, mode, config.
`Wing Directory`	All wings and their rooms.

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curl -X GET 'https://glama.ai/api/mcp/v1/servers/SherryLi-vc/strata-memory'

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