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
A
ArcadeDB MCP Server
Official
Built-in MCP server for ArcadeDB multi-model database
GitHub source repository ↗
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.
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.
Tools
The tool list has not been reviewed yet.
Setup
- Ensure Docker is installed and running.
- 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). - 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 runwith appropriate arguments.
Fit and risk
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
Troubleshooting
- Check if the Docker container is running and ports are mapped correctly
- Ensure the client configuration correctly points to the MCP server
- Check ArcadeDB logs to diagnose connection or query issues
- Verify database credentials and permissions are set correctly
Use cases
AI assistant interaction with databases
LLM integration
Multi-model data management
Vector search and similarity retrieval
Supported clients
Claude DesktopFull support