AI Agent for SingleStore MCP
Integrate SingleStore with Model Context Protocol (MCP) for seamless orchestration between LLM-powered clients like Claude Desktop and Cursor. Effortlessly execute SQL, manage workspaces, schedule jobs, and automate notebook creation using natural language—all secured with streamlined authentication and rapid setup.
Effortless SQL Operations & Workspace Management
Execute SQL queries, manage SingleStore workspaces, and automate database tasks directly from your favorite LLM-powered clients. The MCP server streamlines authentication and setup, making data access and workspace creation intuitive and secure.
- Direct SQL Execution.
- Run SQL queries on connected and virtual workspaces securely, returning structured results instantly.
- Workspace Group Management.
- Easily retrieve and manage workspace groups and detailed workspace properties through natural language commands.
- Region Awareness.
- List all available regions supporting SingleStore workspaces for optimized resource allocation.
- Simple OAuth Integration.
- Enjoy code-free, token-free authentication for local servers. Secure access with API keys for Docker deployments.
Automate Notebook & Job Scheduling
Accelerate your data workflows by creating, managing, and scheduling notebooks and jobs within SingleStore Spaces. Set up automated recurring or one-off jobs to execute notebooks with custom parameters, leveraging full control from your LLM client.
- Notebook Automation.
- List, create, and manage notebook samples and personal files in SingleStore Spaces with ease.
- Scheduled Job Creation.
- Configure and launch scheduled jobs for notebooks, supporting both one-time and recurring executions with custom intervals.
- Job Monitoring.
- Track job details and execution history to ensure reliable automation and insights.
Flexible Deployment & Seamless Integration
Deploy the SingleStore MCP server using Python, Smithery, or Docker for maximum flexibility. Integrate effortlessly with Claude Desktop, Cursor, or any supported MCP client—no manual token management required for local deployments.
- Multiple Install Methods.
- Set up via Python, Smithery CLI, or Docker to match your deployment needs.
- Rapid Client Integration.
- Quickly connect with Claude Desktop, Cursor, or any MCP-compliant client with minimal configuration.
MCP INTEGRATION
Available SingleStore MCP Integration Tools
The following tools are available as part of the SingleStore MCP integration:
- workspace_groups_info
Retrieve details about the workspace groups accessible to the user.
- workspaces_info
Retrieve details about the workspaces in a specific workspace group.
- organization_info
Retrieve details about the user's current organization.
- list_of_regions
Retrieve a list of all regions that support workspaces for the user.
- execute_sql
Execute SQL operations on a connected workspace and return results in a structured format.
- list_virtual_workspaces
List all starter workspaces accessible to the user.
- create_virtual_workspace
Create a new starter workspace with a user and database.
- execute_sql_on_virtual_workspace
Execute SQL operations on a starter workspace and return detailed results.
- list_notebook_samples
List all notebook samples available in SingleStore Spaces.
- create_notebook
Create a new notebook in the user's personal space.
- list_personal_files
List all files in the user's personal space.
- create_scheduled_job
Create a new scheduled job to run a notebook with various configuration options.
- get_job_details
Get detailed information about a specific job.
- list_job_executions
List execution history for a specific job.
Effortlessly Integrate LLMs with SingleStore
Experience seamless natural language interaction with SingleStore using the Model Context Protocol (MCP) Server. Connect Claude Desktop, Cursor, or other MCP clients and start performing complex database operations with ease.
What is SingleStore
SingleStore is a leading cloud-native database company that provides a distributed, high-performance SQL database built for data-intensive applications. Offering both transactional (OLTP) and analytical (OLAP) processing capabilities within a single unified platform, SingleStore empowers enterprises to manage and analyze massive volumes of data in real-time. The platform is optimized for speed, scalability, and reliability, making it an ideal choice for businesses that require low-latency access to large datasets. SingleStore supports multi-cloud and on-premises deployments, and is widely used in industries such as finance, telecommunications, gaming, and more to power real-time analytics, AI applications, and mission-critical workloads.
Capabilities
What we can do with SingleStore
SingleStore's platform enables a wide range of data-driven capabilities, combining speed, scalability, and flexible deployment options for modern enterprises. Here are some of the key things you can do with SingleStore:
- Real-time Analytics
- Instantly process and analyze streaming and historical data for actionable business insights.
- AI & Machine Learning
- Power AI-driven applications with fast, scalable data pipelines and integrated analytical capabilities.
- Operational Applications
- Run high-speed, large-scale transactional workloads with minimal latency.
- Multi-Cloud & Hybrid Deployments
- Deploy seamlessly across public clouds, private clouds, or on-prem environments.
- Unified Data Architecture
- Simplify your data stack by combining OLTP and OLAP workloads in a single, unified platform.
What is SingleStore
SingleStore enables AI agents and enterprise applications to efficiently store, process, and analyze massive volumes of data in real time. By leveraging SingleStore’s high throughput, low latency, and unified data architecture, AI agents can rapidly access the data they need for model training, inference, or real-time decision making, leading to smarter and faster outcomes.