MCP 服务器

ArcadeDB Multi-Model DBMS

ArcadeDB Multi-Model Database, one DBMS that supports SQL, Cypher, Gremlin, HTTP/JSON, MongoDB and Redis. ArcadeDB is a conceptual fork of OrientDB, the first Multi-Model DBMS. ArcadeDB supports Vector Embeddings.

README

<h2 align="center">Multi Model DBMS Built for Extreme Performance</h2>

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-embedded-python
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 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:

docker run --rm -p 2480:2480 -p 2424:2424 \
           -e JAVA_OPTS="-Darcadedb.server.rootPassword=playwithdata -Darcadedb.server.defaultDatabases=Imported[root]{import:https://github.com/ArcadeData/arcadedb-datasets/raw/main/orientdb/OpenBeer.gz}" \
           arcadedata/arcadedb:latest

Now open your browser on http://localhost:2480 and play with ArcadeDB Studio and the imported OpenBeer database to find your favorite beer.

ArcadeDB Studio

ArcadeDB is cloud-ready with Docker and Kubernetes support.

You can also download the latest release, unpack it on your local hard drive and start the server with bin/server.sh or bin/server.bat for Windows.

Releases

There are four variants of (about monthly) releases:

full - this is the complete package including all modules
minimal - this package excludes the gremlin, redisw, mongodbw, graphql modules
headless - this package excludes the gremlin, redisw, mongodbw, graphql, studio modules
base - core engine, server, and network only — excludes all optional modules (console, gremlin, studio, redisw, mongodbw, postgresw, grpcw, graphql, metrics)

The nightly builds of the repository head can be found here.

You can also build a custom distribution with only the modules you need using the Custom Package Builder:

curl -fsSL https://github.com/ArcadeData/arcadedb/releases/download/26.3.1/arcadedb-builder.sh | \
  bash -s -- --version=26.3.1 --modules=gremlin,studio

Available optional modules: console, gremlin, studio, redisw, mongodbw, postgresw, grpcw, graphql, metrics. The builder supports interactive mode, Docker image generation, and offline builds from local Maven repositories.

Java Versions

Starting from ArcadeDB 24.4.1 code is compatible with Java 21.

Java 21 packages are available on Maven central and docker images on Docker Hub.

We also support Java 17 on a separate branch java17 for those who cannot upgrade to Java 21 yet through GitHub packages.

To use Java 17 inside your project, add the repository to your pom.xml and reference dependencies as follows:

    <repositories>
        <repository>
            <name>github</name>
            <id>github</id>
            <url>https://maven.pkg.github.com/ArcadeData/arcadedb</url>
        </repository>
    </repositories>
    <dependencies>
      <dependency>
          <groupId>com.arcadedb</groupId>
          <artifactId>arcadedb-engine</artifactId>
          <version>26.3.1-java17</version>
      </dependency>
    </dependencies>

Docker images are available on ghcr.io too:

docker pull ghcr.io/arcadedata/arcadedb:26.3.1-java17

Community

Join our growing community around the world, for ideas, discussions and help regarding ArcadeDB.

Chat live with us on Discord
Follow us on Twitter
or on Bluesky
Connect with us on LinkedIn
or on Facebook
Questions tagged #arcadedb on Stack Overflow
View our official Blog

Security

For security issues kindly email us at support@arcadedb.com instead of posting a public issue on GitHub.

License and Attribution

ArcadeDB is Free for any usage and licensed under the liberal Open Source Apache 2 license. If you need commercial support, or you need to have an issue fixed ASAP, check our GitHub Sponsor page on both Recurrent and One-Time tiers. All the sponsorship received will be distributed to the active contributors of this project.

For third-party attributions and copyright notices, see:

NOTICE - Required legal attributions
ATTRIBUTIONS.md - Detailed third-party acknowledgments
LICENSE - Full license text

Thanks To

<a href="https://www.yourkit.com"><img src="https://www.yourkit.com/images/yklogo.png"></a> for providing YourKit Profiler to our committers.

Contributing

We would love for you to get involved with ArcadeDB project. If you wish to help, you can learn more about how you can contribute to this project in the contribution guide.

Have fun with data!

The ArcadeDB Team