ConnectoryIndex of MCP servers — No. 060

Index / Productivity / No. 033

PRD · Productivity · Official server

Memory

Knowledge-graph based persistent memory for your assistant.

Transport
Local (stdio)
Status
Official · Model Context Protocol
Auth method
None (local)
Scopes / permissions
—
Last verified
Oct 19, 2026
Tools (live)
09

§1What it does

Official reference server that stores entities, relations and observations in a local knowledge graph so an assistant can remember facts across chats. Requires Node.js 24 or later (as of server version 2.0.0).

§2Setup

Run with npx
{
  "mcpServers": {
    "memory": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-memory"]
    }
  }
}

Snippets adapted from the official documentation. Check the official page for current options and auth requirements.

§2aTools (live-checked Oct 19, 2026)

Returned by the server's own tools/list via npx @modelcontextprotocol/server-memory. No credentials used; no tools were called.

  • create_entities — Create multiple new entities in the knowledge graph. An entity whose name already exists, or repeats an earlier entity in the same call, is skipped and its observations are not added; the result lists the skipped names in `skipped`. Use add_observations to add observations to an existing entity.
  • create_relations — Create multiple new relations between entities in the knowledge graph. Relations should be in active voice
  • add_observations — Add new observations to existing entities in the knowledge graph
  • delete_entities — Delete multiple entities and their associated relations from the knowledge graph
  • delete_observations — Delete specific observations from entities in the knowledge graph
  • delete_relations — Delete multiple relations from the knowledge graph
  • read_graph — Read the entire knowledge graph
  • search_nodes — Search for nodes in the knowledge graph based on a query
  • open_nodes — Open specific nodes in the knowledge graph by their names

§3Prompts to try

  1. “Remember that my preferred stack is Next.js + Postgres.”
  2. “What do you remember about project Atlas?”

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