Schema | Personal Memory Gateway

Personal Memory Gateway

Describes the environment variables required to run the server.

Name	Required	Description	Default
`INGEST_DIR`	No	Directory to watch for memory files	my_data
`LANCE_DB_PATH`	No	Path to lancedb storage
`DASHBOARD_PORT`	No	Port for the telemetry dashboard	8787
`ARCHESTRA_ENABLE`	No	Enable Archestra integration (0 or 1)	0
`EMBEDDING_PROVIDER`	No	Embedding model source (local, gemini, etc.)	local
`PRIVACY_REDACT_PII`	No	Enable PII redaction pipeline	1

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
query_personal_memoryA	Search local memory and return privacy-filtered personal context for a topic. MUST call this tool when user asks to query memory, asks personal preference/history, or explicitly says 'call tool query_personal_memory'. Do not skip tool call in those cases.
save_memoryA	Save a new fact, preference, or piece of information to the user's permanent memory. MUST call this tool when user says 'remember this', 'save this', or explicitly says 'call tool save_memory'. Do not reply with a normal answer before attempting the tool call.

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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curl -X GET 'https://glama.ai/api/mcp/v1/servers/shubham-01-star/mcp-personal-memory-gateway'

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