SurrealMCP
Connect your AI tools directly to SurrealDB with the Model Context Protocol. Enable seamless data access, and intelligent interactions between AI models and SurrealDB.
Connect your AI tools directly to SurrealDB with the Model Context Protocol. Enable seamless data access, and intelligent interactions between AI models and SurrealDB.
Connect your AI models and tools directly to SurrealDB through the Model Context Protocol. No complex APIs or custom integrations required.
Query documents, graphs, vectors, and relational data through a unified interface. Your AI can access any data type with a single query language.
Enable your AI models to query live data, perform complex graph traversals, and access vector embeddings for context-aware responses.
Built-in authentication and permissions ensure your AI tools only access the data they're authorized to see, with granular control.
Easy setup with VSCode and Cursor extensions. Connect your AI development environment to SurrealDB with just a few clicks.
Your AI tools can perform semantic search, similarity matching, and RAG operations directly within SurrealDB's native vector capabilities.
Leverage SurrealDB's graph capabilities for AI. Traverse relationships, analyze connections, and understand complex data structures.
SurrealQL provides a single, powerful interface for all your AI data needs. No need to connect and manage separate data stores.
Built for production environments with robust security and flexible authentication requirements.
Secure integration with SurrealDB Cloud using JWT and JWE tokens. Robust token validation with JWKS support and custom audience configuration for enterprise deployments.
Configurable request rate limiting with RPS and burst controls. Endpoint lockdown capabilities to restrict connections to specific SurrealDB instances.
Flexible configuration management through environment variables. Easy deployment across different environments without code changes.
Custom audience configuration for enterprise deployments. Restrict tokens to specific applications and ensure secure access patterns.
Secure connections across stdio, HTTP, and Unix socket transports. Consistent security policies regardless of deployment mode.
Complete SurrealDB Cloud management directly from your AI tools and dev environment.
Create, pause, resume, and monitor SurrealDB Cloud instances directly from your AI tools. Full lifecycle management without leaving your IDE.
List and manage multiple cloud organizations. Discover available instances and their current status with built-in health monitoring.
Built-in health checks and status monitoring for cloud instances. Real-time visibility into instance performance and availability.
Automatic SurrealDB Cloud authentication token management. Seamless authentication without manual token management.
No need to manage your own SurrealDB instances. Connect to managed SurrealDB Cloud instances using the cloud:instance_id format.
Comprehensive monitoring and observability for production deployments.
Comprehensive logging and metrics for debugging and monitoring. Detailed request and response logging with configurable log levels.
Native OpenTelemetry support for distributed tracing. Integrate with your existing observability stack and monitoring platforms.
Built-in health checking endpoints for monitoring and load balancer integration. Easy integration with Kubernetes and cloud platforms.
Detailed performance metrics and request timing. Monitor query performance and identify optimization opportunities.
Graceful error handling with detailed feedback and error categorization. Comprehensive error tracking for debugging and alerting.
Run SurrealDB embedded within your AI tools - from in-memory to persisted production data.
Start ephemeral in-memory databases directly from your AI tools. Perfect for prototyping, testing, and development scenarios with zero setup.
Switch to persisted local storage when you need data durability. Seamlessly transition from development to production with the same interface.
Deploy embedded databases on edge devices, laptops, and constrained environments. Lightweight footprint with full SurrealDB capabilities.
Full multi-model support in embedded mode - documents, graphs, vectors, and relational data all available in a single embedded instance.
Optimized for AI workflows with native vector search, graph traversal, and real-time capabilities directly within your AI tools.
Seamless integration with popular AI development tools, IDEs, and platforms.
Native support for VSCode, Cursor, and other popular IDEs. One-click installation and configuration for immediate database access.
Works seamlessly with Claude Desktop, GitHub Copilot, and other AI assistants. Standard MCP protocol ensures broad compatibility.
Integration with n8n and other automation platforms. Connect SurrealDB to your existing workflow and automation tools.
Built on the Model Context Protocol standard. Future-proof integration that works with any MCP-compatible client or tool.
Optimized developer experience with instant setup, comprehensive documentation, and community support.
Full CRUD operations, advanced querying, and relationship management.
Complete Create, Read, Update, and Delete operations. Insert, select, update, and delete records with powerful filtering and conditions.
Complex filtering, sorting, pagination, and grouping. Parameterized queries with secure parameter binding for production use.
Create and traverse graph relationships between records. Build complex data models with inter-document links and graph queries.
Smart upsert operations that create or update records based on conditions. Merge data efficiently with flexible merge strategies.
Dynamic connection management with namespace and database switching. Connect to multiple endpoints and switch between them seamlessly.
Flexible deployment options with multiple transport protocols and connection methods.
Default stdio transport for local development and IDE integration. Simple, efficient communication with no network overhead.
Choose the right transport for your deployment environment. Seamless switching between transport modes based on requirements.
Works across Windows, macOS, and Linux. Consistent behavior and capabilities regardless of the underlying platform.
Run as an HTTP server for environments where stdio is not available. RESTful API endpoints with JSON request/response format.
surrealmcp start --bind-address 127.0.0.1:8000
Unix socket transport for secure local communication. Ideal for containerized environments and secure local deployments.
surrealmcp start --socket-path /tmp/surrealmcp.sock
SurrealMCP runs locally via stdio. Connect to SurrealDB instances from any IDE, framework, or AI tool. Instantly start an in-memory or local database at the edge directly from your AI tool, with ephemeral or persisted data.
SurrealMCP can alternatively be run as an HTTP server, for environments where stdio is not available. With SurrealDB embedded within SurrealMCP, you can run SurrealDB instances locally, and connect to them directly from your IDE.
Enterprise-grade agentic memory, secured at the core. Deploy AI agents in days, not quarters.