Schema | mindcore-memory-mcp

mindcore-memory-mcp

Describes the environment variables required to run the server.

Name	Required	Description	Default
No arguments

Features and capabilities supported by this server

Capability	Details
`tools`	{ "listChanged": false }
`experimental`	{}

Functions exposed to the LLM to take actions

Name	Description
memory_storeB	Store a new memory that should be remembered long-term.
memory_recallC	Recall memories relevant to the query.
memory_contextA	Build a context window from relevant memories for LLM input.
memory_update_confidenceA	Update a memory confidence score after correction.
memory_statsB	Get stats: total count, importance distribution, avg confidence.
memory_deleteA	Delete a memory by its ID. Irreversible — use with caution.
bnd_checkA	Evaluate content through the 3D Boundary balance algorithm (Forward/Reverse Formula). Returns 4D scores (TRJ/EVO/COG/BALANCE) and accept/reject decision.
bnd_statsA	Get BND manager stats: acceptance rate, score distributions, anti-chain triggers.
deduceB	Run the Deduction engine on stored memories to derive new cognitive insights. Finds patterns across high-quality COG memories.

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

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