Server-memory enables AI agents to access and manage a knowledge graph for persistent memory. It provides tools to store, retrieve, and query information, connecting to a graph database. Developers use it to build AI agents with long-term memory, such as personal assistants or knowledge management systems.
Server-memory enables AI agents to access and manage a knowledge graph for persistent memory. It provides tools to store, retrieve, and query information, connecting to a graph database. Developers use it to build AI agents with long-term memory, such as personal assistants or knowledge management systems.
npx -y @modelcontextprotocol/server-memoryAdd this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"modelcontextprotocol-server-memory-npm": {
"command": "npx",
"args": [
"-y",
"npx -y @modelcontextprotocol/server-memory"
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from server-memory?"
API Key Required
This server requires an API key from server-memory. Add it to your environment or config.
| Variable | Required | Description |
|---|---|---|
| SERVER-MEMORY_API_KEY | Yes | Your server-memory API key |
"What resources are available in server-memory?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in server-memory"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in server-memory with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
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