Schema | Memory MCP

Memory MCP

Describes the environment variables required to run the server.

Name	Required	Description
`OPENAI_API_KEY`	Yes	Your OpenAI API key used for embeddings and LLM-powered query generation.
`TURSO_AUTH_TOKEN`	Yes	The authentication token for your Turso database.
`TURSO_DATABASE_URL`	Yes	The URL of your Turso database or libSQL-compatible endpoint (e.g., libsql://your-db.turso.io).

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
rememberC	Store a new memory. Describe what you want to remember in plain English. The system will figure out how to store it based on the table structure.
forgetC	Delete or modify existing memories. Describe what you want to forget or change in plain English.
recallA	Recall memories without modifying them. Describe what you want to remember in plain English.
processB	Review and refine existing memories. Analyzes all stored memories for quality, duplicates, and gaps, then asks clarifying questions. Call again with answers to apply refinements.
process_answersC	Provide answers to questions raised by the process tool. Pass the original questions and your answers; the system will apply memory refinements based on the answers.

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/gregpriday/memory-mcp'

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