ArcadeDB MCP Server

Name: ArcadeDB MCP Server
Author: ArcadeData

by ArcadeDataversion 26.4.1-SNAPSHOTi★ –iRuns on your computer

Registry namecom.arcadedb/mcp-server

Install

Overview

Description from the maker (original English)

Built-in MCP server for ArcadeDB multi-model database (graph, document, vector, time-series)

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Docs, sheets & office work

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
The registry lists no key to fill in.

You need

DockerDocker installed

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "arcadedb": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "docker.io/arcadedata/arcadedb:26.4.1-SNAPSHOT"
      ]
    }
  }
}

Run this in your terminal

claude mcp add arcadedb -- docker run -i --rm docker.io/arcadedata/arcadedb:26.4.1-SNAPSHOT

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "arcadedb": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "docker.io/arcadedata/arcadedb:26.4.1-SNAPSHOT"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "arcadedb": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "docker.io/arcadedata/arcadedb:26.4.1-SNAPSHOT"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

✓ Pass
Maker matches the repo
The registry name was verified against the domain arcadedb.com (the registry checks domain ownership)
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Docs, sheets & office worki

More stars than 0% of the other 2180 servers in this category
Published to the registry more recently than 4% of the other 2180 servers in this category
Basic checks equal to or better than 100% of the other 2180 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is ArcadeDB MCP Server safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (26.4.1-SNAPSHOT) reached the registry 8 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Docker on your computer.

What can I use instead?

In the same category: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Multi Model DBMS Built for Extreme Performance

Test suite Runs Status Java CI - test every push to main HA integration (Raft, embedded) daily HA resilience (Docker, fault injection) daily HA chaos (randomized faults, 60 min) weekly Jepsen (consistency, fault injection) daily Load tests daily Bolt driver-version matrix daily Native image build daily Benchmarks weekly

ArcadeDB is a Multi-Model DBMS created by Luca Garulli, the same founder of OrientDB, after SAP's acquisition. Written from scratch with a brand-new engine made of Alien Technology, ArcadeDB is able to crunch millions of records per second on common hardware with minimal resource usage. ArcadeDB reuses OrientDB's SQL engine (heavily modified) and some utility classes. It's written in LLJ: Low Level Java - still Java21+ but only using low level APIs to leverage advanced mechanical sympathy techniques and reduce Garbage Collector pressure. Highly optimized for extreme performance, it runs from a Raspberry Pi to multiple servers on the cloud.

ArcadeDB is fully transactional DBMS with support for ACID transactions, structured and unstructured data, native graph engine (no joins but links between records), full-text indexing, geospatial querying, and advanced security.

ArcadeDB supports the following models:

Graph Database (compatible with Neo4j Cypher, Apache Tinkerpop Gremlin and OrientDB SQL)
Document Database (compatible with the MongoDB driver + MongoDB queries and OrientDB SQL)
Key/Value (compatible with the Redis driver)
Search Engine
Time Series (with InfluxDB Line Protocol, Prometheus remote_write/read, and PromQL support)
Vector Embedding
Geospatial

ArcadeDB understands multiple languages:

SQL (from OrientDB SQL)
Neo4j Cypher (Open Cypher)
Apache Gremlin (Apache Tinkerpop v3.7.x)
GraphQL Language
MongoDB Query Language

ArcadeDB key capabilities:

70+ Built-in Graph Algorithms — Pathfinding, centrality, community detection, link prediction, graph embeddings, and more — all available out of the box
Parallel Query Execution — SQL queries leverage multiple CPU cores for faster execution on large datasets
Materialized Views — Pre-computed query results stored and automatically maintained
MCP Server — Built-in Model Context Protocol server for AI assistant and LLM integration
AI Assistant — Integrated AI assistant in Studio (Beta) for query help and database management
Geospatial Indexing — Native spatial queries and proximity searches with geo.* SQL functions
TimeSeries — Columnar storage with Gorilla/Delta-of-Delta compression, InfluxDB/Prometheus ingestion, PromQL queries, Grafana integration
Hash Indexes — Extendible hashing for faster exact-match lookups alongside LSM-Tree indexes

ArcadeDB can be used as:

Embedded from any language on top of the Java Virtual Machine
Embedded from Python via bindings: arcadedb-python-bindings
Remotely by using HTTP/JSON
Remotely by using a Postgres driver (ArcadeDB implements Postgres Wire protocol)
Remotely by using a Redis driver (only a subset of the operations are implemented)
Remotely by using a MongoDB driver (only a subset of the operations are implemented)
By AI assistants via the built-in MCP Server (Model Context Protocol). For Claude Code there is a ready-made plugin: /plugin marketplace add ArcadeData/arcadedb then /plugin install arcadedb@arcadedb

For more information, see the documentation.

Use Cases

Explore real-world examples in the arcadedb-usecases repository — self-contained projects with Docker Compose, SQL schemas, and runnable demos covering:

Recommendation Engine — graph traversal + vector similarity + time-series
Knowledge Graphs — co-authorship and citation networks with full-text search
Graph RAG — retrieval-augmented generation with LangChain4j and Neo4j Bolt
Fraud Detection — graph, vector, and time-series signals with Cypher
Real-time Analytics — IoT and service monitoring with time-series
Social Network Analytics — materialized view dashboards with polyglot queries
Supply Chain — multi-tier visibility with PostgreSQL protocol and JavaScript

Getting started in 5 minutes

Start ArcadeDB Server with Docker:

Only the beginning is shown; read the rest in the repo

ArcadeDB MCP Server

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Docs, sheets & office worki

Common questions

Alternatives

Agent-Native Calendar

Excel MCP Server

MCP Server for Excel

README from the maker

Use Cases

Getting started in 5 minutes