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ArcadeDB MCP Server

Official
Built-in MCP server for ArcadeDB multi-model database
How to install ↓ Compare GitHub source repository ↗
Category
Database #56 of 58
Stars
★ 1.2k Very popular
Transport
stdio (local process)
Runtime
Docker
Credentials
No credential needed
License
Apache-2.0
Last commit
37FMRS · D

ArcadeDB MCP Server is a built-in database MCP server suitable for AI applications needing integration with a multi-model database. It offers comprehensive data model support but requires users to have basic knowledge of ArcadeDB. Setup requires Docker and appropriate client configuration.

Strongest · Maintenance 15/20 Weakest · Reliability 4/20

Reliability
4/20
Security and permissions
5/20
Maintenance
15/20
Documentation
7/20
Setup experience
6/20
Why each score
Reliability 4/20
Only the manifest and README were supplied; no server implementation, tool schemas, tests, or CI artifacts for the MCP server are visible. The manifest declares an OCI/stdio package and built-in MCP support, so the happy path seems plausible, but startup, MCP init handshake, and tool-list behavior cannot be verified. Error handling and edge cases are undocumented. Missing execution evidence lowers the score per the static calibration rule.
Security and permissions 5/20
No credential handling, authentication flow, data-boundary definitions, least-privilege design, or confirmation mechanism for dangerous operations is provided for the MCP server. The root password in the Docker example is a demo value (playwithdata), not a real secret, so no red-line issue is triggered. However, network exposure, database access scope, and MCP tool side effects cannot be confirmed; the missing evidence requires a conservative deduction.
Maintenance 15/20
The repository is not archived, uses the Apache-2.0 license, and the manifest shows version 26.3.1. The README references monthly releases, a GitHub download URL, CI workflows, and a security contact email. These indicate ongoing maintenance, but no changelog, commit history, or issue-resolution evidence is present in the supplied files, and README assertions are untrusted evidence. Stars are not counted, so full marks are not justified.
Documentation 7/20
The README gives broad ArcadeDB documentation and links to docs.arcadedb.com/#mcp-server, but the supplied files contain no MCP-specific install, auth, tool-parameter, limits, or troubleshooting content. The manifest is only a minimal declaration. External doc links cannot be verified in a static review, so points are deducted for missing layered MCP documentation.
Setup experience 6/20
The README provides a Docker command to run an ArcadeDB server, and the manifest supplies an OCI stdio package, making a runtime path conceivable. However, there is no MCP client configuration example, no auth handshake walkthrough, and no platform-specific installation-to-connection steps. The static calibration caps setup at 15, and the available evidence is too thin, so the path is treated as manual and fragile.

Static review · not runListed 2026-08-07

Read the FMRS scoring method →

Fit and risk

What it can accessConnects to a database

Best for

  • AI integrations needing multi-model data support
  • Developers who want to query and manage databases directly from AI assistants
  • Applications using ArcadeDB as their backend database

Not for

  • Users who don't need database functionality
  • MCP clients that require non-stdio transports (e.g., SSE or HTTP)
  • Users not interested in ArcadeDB itself and just want a generic database MCP

Required permissions

  • Database read and write access
  • Create and manage databases, indexes, and schemas
  • Execute queries and manage data models

Risks and side effects

  • Potential exposure of sensitive data if misconfigured
  • Database operations could lead to data loss or corruption; handle with care
  • As a database server, ensure network access control and authentication mechanisms are in place

Setup

Before you start

Runtime：Docker

JAVA_OPTS optionalsecret Passes JVM options (e.g. arcadedb.server.rootPassword and default database settings); set as an environment variable in the README's docker run example and contains the root password.
  1. Ensure Docker is installed and running.
  2. Use Docker to run the ArcadeDB MCP server image: docker run --rm -p 2480:2480 -p 2424:2424 arcadedata/arcadedb:26.3.1 (note: this starts the ArcadeDB server; the MCP server is built-in).
  3. Configure the MCP client to use stdio transport. Since no specific client config example is provided, refer to the MCP client documentation; typically you need to specify the command as docker run with appropriate arguments.

Check that it works

After starting the Docker container, the ArcadeDB MCP Server's tools should appear in your MCP client's tool list; issuing a simple query such as listing the databases and getting a result confirms the connection works.

Troubleshooting

  1. Check if the Docker container is running and ports are mapped correctly
  2. Ensure the client configuration correctly points to the MCP server
  3. Check ArcadeDB logs to diagnose connection or query issues
  4. Verify database credentials and permissions are set correctly

Things to try

Once connected, you can ask your AI assistant things like:

  • List what node types exist in the database
  • Run a Cypher query to count how many beers are in the OpenBeer database
  • Show me the schema of the current database
  • Do a similarity search on a vector collection

Use cases

AI assistant interaction with databases
LLM integration
Multi-model data management
Vector search and similarity retrieval

Supported clients

Claude Desktop

Listed from the project's documentation, not tested by this site.

Overview

ArcadeDB is a high-performance multi-model DBMS supporting graph, document, key-value, search engine, time-series, and vector embeddings. This MCP server is a built-in component of ArcadeDB, enabling AI assistants and LLMs to interact with ArcadeDB via the Model Context Protocol (MCP) for querying and managing databases. It is licensed under Apache 2.0 and maintained by the ArcadeDB team.

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Source revision db832c29e76b Data synced 2026-10-12 Read the FMRS scoring method