Multi-Model database with built-in MCP server for SQL, Cypher, Gremlin, and GraphQL.
Connect ArcadeDB to Claude, Cursor or any other MCP client and it stops being a tab you switch to. Multi-Model database with built-in MCP server for SQL, Cypher, Gremlin, and GraphQL. The arcadedb mcp server is what makes that connection.
Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.
The toolset is worth reading before you wire it up, because it tells you what the integration is really for:
TimeSeries — Columnar storage with Gorilla/Delta-of-Delta compression, InfluxDB/Prometheus ingestion, PromQL queries, GrafanaReal — time Analytics** — IoT and service monitoring with time-seriesfull — this is the complete package including all modulesminimal — this package excludes the gremlin, redisw, mongodbw, graphql modulesheadless — this package excludes the gremlin, redisw, mongodbw, graphql, studio modulesbase — core engine, server, and network only — excludes all optional modules (console, gremlin, studio, redisw,slow — functional tests that take noticeably long (large batches, multi-second elapsed time, big payloads)benchmark — microbenchmarks not intended for regular CI runsSuite — How it runsReleases — The nightly builds of the repository head can be found [here](https://central.sonatype.com/service/rest/repository/browse/maven-snapshots/com/arcadedbCommunity — Join our growing community around the world, for ideas, discussions and help regarding ArcadeDBSecurity — For security issues kindly email us at support@arcadedb.com instead of posting a public issue on GitHubThis sits in the monitoring and observability group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. ArcadeDB's toolset — TimeSeries, Real, full and 10 more — is a fair guide to whether it matches your workflow. It is maintained by ArcadeData; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against ArcadeDB's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| TimeSeries | Columnar storage with Gorilla/Delta-of-Delta compression, InfluxDB/Prometheus ingestion, PromQL queries, Grafana |
| Real | time Analytics** — IoT and service monitoring with time-series |
| 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, |
| slow | functional tests that take noticeably long (large batches, multi-second elapsed time, big payloads) |
| benchmark | microbenchmarks not intended for regular CI runs |
| Suite | How it runs |
| Releases | The nightly builds of the repository head can be found [here](https://central.sonatype.com/service/rest/repository/browse/maven-snapshots/com/arcadedb/arcadedb-package/). |
| Community | Join our growing community around the world, for ideas, discussions and help regarding ArcadeDB. |
| Security | For security issues kindly email us at support@arcadedb.com instead of posting a public issue on GitHub. |
| 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](CONTRIBUTING.md). |
Give your coding agent the full DevTools toolbox: traces, network, console, heap snapshots and Lighthouse.
Dashboards, Prometheus and Loki queries, incidents and alerts — observability by conversation.
Errors with full context — stack traces, issue triage and AI-powered root-cause analysis from Sentry's server.
Enables enhanced web research capabilities for large language models through intelligent search queuing and advanced content extraction.
Automates browser interactions and enables Large Language Models (LLMs) to interact with web pages through Playwright and Chrome DevTools Protocol
Guides tool usage by providing recommendations for MCP tools at each problem-solving stage.