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Health: ActiveRecent health check succeeded.Last checked 9/21/2026, 7:01:24 AM

Memory

User RatingsBe the first to rate and review this MCP server!Ownership verifiedThe owner proved control of this listing via a GitHub README, site badge, or DNS TXT record.
View Repository90.5k GitHub StarsTotal stargazers on GitHub for the source repository (90,510 stars).Visit Website
memoryknowledge-graphmcpreference-server

Persistent knowledge graph memory exposed through MCP tools for creating, searching, reading, and updating entities and relations.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

This server is confirmed live — we successfully called its tools/list endpoint directly (see the verified badge above). We haven't yet sandbox-tested the stdio install command below specifically, which is a separate, ongoing check.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "memory": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-memory"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (9) Directory Badge Alternatives🛠️ More in Other Tools and Integrations

Overview

Memory MCP server provides persistent memory through a knowledge graph of entities, relations, and observations. MCP clients can create, search, inspect, update, and delete graph data using dedicated tools. Install it with npx using the @modelcontextprotocol/server-memory package, then add it to an MCP client such as Claude Desktop. Reach for it when an agent needs structured information that can be retained and queried across interactions.

Use cases

•Store named entities and their related facts
•Search an agent's knowledge graph by query
•Retrieve specific graph nodes by name
•Update memory with new observations
•Remove outdated entities, relations, or observations

Key features

•Knowledge graph-based persistent memory
•Entity and relation creation
•Observation management
•Graph-wide and node-specific retrieval
•Entity, relation, and observation deletion

Capabilities & Tool Schemas (9) ~941 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Verified live Verified liveCaptured by calling this server’s live tools/list endpoint.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Memory.

create_entities

Create multiple new entities in the knowledge graph

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

How Memory works

What Memory does

The Memory MCP server exposes a knowledge graph as persistent memory for MCP-compatible agents. Information is organized around entities, relationships between entities, and observations attached to existing entities. This structure is useful when an agent needs to record named concepts and their connections instead of handling memory as unstructured text.

The server belongs to the 🧠 Knowledge & Memory category and is implemented as one of the MCP repository’s reference servers. It is intended to demonstrate MCP features and SDK usage, so teams should evaluate whether its behavior and security controls fit their own deployment requirements before using it in production.

How it works

The Memory MCP server communicates through MCP tools that operate on the knowledge graph. An agent can add entities, connect them with active-voice relations, and attach observations to entities that already exist. It can later search nodes by a query, open specific nodes by name, or read the complete graph.

Graph changes are also exposed as explicit deletion operations. Clients can remove entities together with their associated relations, delete selected observations, or delete multiple relations. This gives an agent separate operations for adding, inspecting, and cleaning up stored knowledge.

The model is deliberately structured: entities represent graph nodes, relations connect nodes, and observations add details to entities. The available material does not specify a separate query language, external data source, authentication mechanism, or storage backend.

Setup and configuration

The reference package can be started with npx:

Terminal
npx -y @modelcontextprotocol/server-memory

To use the Memory MCP server with Claude Desktop, add an MCP server entry using npx as the command and -y @modelcontextprotocol/server-memory as its arguments:

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

On Windows, the documented configuration wraps npx with cmd /c. No required environment variables or additional configuration values are provided in the reference material.

Tools and capabilities

The Memory MCP server provides these operations:

  • create_entities: add multiple entities to the graph.
  • create_relations: add multiple relations between entities; relations should use active voice.
  • add_observations: attach new observations to existing entities.
  • delete_entities: remove multiple entities and their associated relations.
  • delete_observations: remove specific observations from entities.
  • delete_relations: remove multiple relations.
  • read_graph: read the entire knowledge graph.
  • search_nodes: find graph nodes based on a query.
  • open_nodes: retrieve specific nodes by name.

These tools support both graph construction and targeted retrieval. The Memory MCP server can therefore support workflows that record facts, connect related items, revisit named nodes, and remove outdated graph data.

Limitations and notes

This implementation is published as a reference server rather than a production-ready solution. The repository advises developers to assess their own security requirements and add safeguards appropriate to their threat model and use case. The supplied material does not document persistence settings, access controls, backup behavior, concurrency guarantees, or a hosted service.

The repository uses Apache-2.0 for new contributions and retains MIT licensing for existing code, but the provided material does not assign one unambiguous license specifically to this server package.

Getting started with this Memory MCP server

Always refer to the official documentation for the most accurate and up-to-date information.

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars
90k
Stargazers on the source repository.
npm downloads
461k
Package downloads in the last 30 days.
Last commit
18d ago
Most recent push to the default branch.
Tools exposed
9
Callable tools this server registers over MCP.
Directory activity
2 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about Memory

Run `npx -y @modelcontextprotocol/server-memory`.

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Technical Specs & Signals

Category🛠️Other Tools and Integrations
PricingFree
More technical detailsExpand ▾
TransportSTDIO
RuntimeNode.js
AuthNo auth required
ClientsClaude Desktop
Last updatedSep 21, 2026
13/13 checks healthy over the last 43d
Views2
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars90,510
GitHub Star CountTotal stargazers on GitHub representing community popularity (90,510 stars).
Last commit18d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Sep 3, 2026
npm downloads461,437/mo
Monthly npm DownloadsAverage monthly package installs recorded from npm registry statistics.
88Quality signal: Excellent · 88/100How this signal is calculated ▾
Server availability25/25
Verified ownership20/20
Documentation & tools29/30
Adoption & activity14/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 19h ago via OSV.dev · @modelcontextprotocol/server-memory (npm)

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More in 🛠️ Other Tools and Integrations →Alternatives to Memory →Install in Claude DesktopInstall in CursorInstall in VS Code