How to Install Memory MCP Server in Claude Code

Persistent memory for AI agents using a local knowledge graph — remember facts across sessions

What Memory MCP Server does

Give your AI agent a persistent memory that survives across conversations. The Memory MCP server stores entities, relationships, and observations in a local knowledge graph that Claude can read and update. Features: - Store named entities (people, projects, concepts) with properties - Create relationships between entities - Add observations and notes to existing entities - Query the knowledge graph with natural language - Persistent storage — memory survives session restarts - Delete outdated or incorrect memories - Local storage — your data never leaves your machine Real-world use cases: - "Remember that our production database is on AWS us-east-1" - "Note that Alice is the lead on the payments project" - "Store my API keys and configurations" - Remember user preferences across sessions in AI applications This is one of the most-requested MCP capabilities and the official implementation is the most trusted option in the ecosystem.

memory

knowledge-graph

persistence

context

agents

Installation steps

1Copy the config below
2Open or create .claude/mcp.json in your project root
3Paste inside "mcpServers": {}
4Reload Claude Code

Configuration

File location: .claude/mcp.json (project root) or ~/.claude/mcp.json (global)

.claude/mcp.jsonjson

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

Full server details GitHub Open Config Editor

Install in other clients

🤖Claude Desktop ⌨️Cursor 🏄Windsurf ✨OpenAI ♊Gemini

For maintainers

If you maintain Memory MCP Server, add this badge to your README to show it's verified on CuratedMCP:

[![CuratedMCP Verified](https://curatedmcp.com/api/badge/memory-mcp-server)](https://curatedmcp.com/marketplace/memory-mcp-server)