MemoryFreeactiveReviewed by MCPIndex

Memory MCP Server

Persistent knowledge graph memory for AI conversations across sessions

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Reviewed by MCPIndex

MCPIndex assessment

Memory MCP adds persistent context to AI sessions by storing and retrieving user-defined facts, preferences, and notes across conversations. It addresses one of the core limitations of stateless AI assistants: forgetting everything between sessions. For individual developers or power users who want the AI to remember project context, personal preferences, or recurring task state, this is a lightweight and practical addition. It works best as a complement to other MCP tools rather than as a standalone capability.

Quick overview

Memory MCP Server provides AI assistants with a persistent knowledge graph that survives across conversations. It stores entities, relationships, and observations in a local JSON file, allowing the AI to remember facts about you, your projects, and preferences over time. Think of it as long-term memory that turns a stateless chat into a continuously learning assistant.

Best for

The teams and workflows that benefit most from this tool.

Users who want AI assistants to remember preferences, project context, and recurring facts across sessions.

Reducing repetitive context-setting at the start of each conversation.

Lightweight personal knowledge layer that complements other MCP tools in a local setup.

What this MCP server is best for

  • Memory MCP Server is useful when you want to extend an AI assistant with real tools and live system access.
  • It helps move from chat-only answers to real actions such as reading data, managing systems, or retrieving current information.
  • It is best for developer and technical workflows where AI needs controlled access to external tools or services.

When to choose it

Choose Memory MCP Server when you want an MCP server focused on Memory and need tighter integration with your existing tools.

Good fit

memoryknowledge-graphpersistenceentitieslong-term

Limitations

Things to watch before choosing this tool.

Memory quality depends on how consistently and clearly users store information.

Not a substitute for proper documentation or knowledge management tools.

Scope is individual and local; not designed for shared team memory.

Memory MCP Server Configuration

Use the following configuration as a starting point for Claude Desktop or any compatible MCP client, then replace placeholder credentials with your own values.

claude_desktop_config.json
{
  "mcpServers": {
    "memory": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-memory"]
    }
  }
}

How to set up Memory MCP Server

These setup steps cover the typical installation flow for this MCP server.

  1. 1

    Add the configuration JSON above to your Claude Desktop config file.

  2. 2

    Restart Claude Desktop. The memory server creates a local memory graph file automatically.

  3. 3

    Start telling Claude things you want it to remember.

  4. 4

    In a new conversation, ask Claude to recall what it knows about you.

  5. 5

    The memory file is stored locally and persists across all Claude Desktop sessions.

Compatibility

Supported environments for Memory MCP Server.

Claude Desktop

Yes

Cursor

Yes

VS Code

No

Personal productivity tool. Works well in Claude Desktop setups with multiple MCP tools.

Frequently asked questions

Common questions for Memory MCP Server.

Is Memory MCP Server free?

Yes, it is completely free and open-source. All data is stored locally in a JSON file on your machine.

How to setup Memory MCP Server?

Add the npx command to your Claude Desktop config and restart. No API keys, no database setup needed.

Where is the memory data stored?

In a local JSON file on your machine. Your data never leaves your computer, ensuring full privacy.

Memory MCP Server vs Competitors

FeatureMemory MCP ServerCompetitor
Knowledge Graph Yes No
Local Storage Only Yes No
Entity Relationships Yes No
Cross-Session Yes Partial
Cloud Sync No Yes

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