Skip to main content

SingleStore MCP server

Project description

SingleStore MCP Server

MIT Licence PyPI Downloads Smithery

Model Context Protocol (MCP) is a standardized protocol designed to manage context between large language models (LLMs) and external systems. This repository provides an installer and an MCP Server for Singlestore, enabling seamless integration.

With MCP, you can use Claude Desktop or any compatible MCP client to interact with SingleStore using natural language, making it easier to perform complex operations effortlessly.

Claude Setup

Installing via Smithery

To install mcp-server-singlestore for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @singlestore-labs/mcp-server-singlestore --client claude

Requirements

  • Python >= v3.11.0
  • Pipx installed on your python environment
  • Claude Desktop

How to use locally

  1. Add the following config to your Claude Desktop config file
  2. Restart Claude Desktop after making changes to the configuration
{
  "mcpServers": {
    "singlestore-mcp-server": {
      "command": "pipx",
        "args": [
          "run",
          "singlestore-mcp-server"
      ],
      "env": {
        "SINGLESTORE_DB_USERNAME": "your-database-username",
        "SINGLESTORE_DB_PASSWORD": "your-database-password",
        "SINGLESTORE_API_KEY": "your-api-key"
      }
    }
  }
}

Note:

You can get your API key and DB credentials on SingleStore's Helios Portal

Components

Tools

The server implements the following tools:

  • workspace_groups_info: Retrieve details about the workspace groups accessible to the user
    • No arguments required
    • Returns details of the workspace groups
  • workspaces_info: Retrieve details about the workspaces in a specific workspace group
    • Arguments: workspaceGroupID (string)
    • Returns details of the workspaces
  • organization_info: Retrieve details about the user's current organization
    • No arguments required
    • Returns details of the organization
  • list_of_regions: Retrieve a list of all regions that support workspaces for the user
    • No arguments required
    • Returns a list of regions
  • execute_sql: Execute SQL operations on a connected workspace
    • Arguments: workspace_group_identifier, workspace_identifier, username, password, database, sql_query
    • Returns the results of the SQL query in a structured format
  • list_virtual_workspaces: List all starter workspaces accessible to the user
    • No arguments required
    • Returns details of available starter workspaces
  • create_virtual_workspace: Create a new starter workspace with a user
    • Arguments:
      • name: Name of the starter workspace
      • database_name: Name of the database to create
      • username: Username for accessing the workspace
      • password: Password for the user
      • workspace_group: Object containing name (optional) and cellID (mandatory)
    • Returns details of the created workspace and user
  • execute_sql_on_virtual_workspace: Execute SQL operations on a virtual workspace
    • Arguments: virtual_workspace_id, username, password, sql_query
    • Returns the results of the SQL query in a structured format including data, row count, columns, and status
  • list_notebook_samples: List all notebook samples available in SingleStore Spaces
    • No arguments required
    • Returns details of available notebook samples
  • create_notebook: Create a new notebook in the user's personal space
    • Arguments: notebook_name, content (optional)
    • Returns details of the created notebook
  • list_personal_files: List all files in the user's personal space
    • No arguments required
    • Returns details of all files in the user's personal space
  • create_scheduled_job: Create a new scheduled job to run a notebook
    • Arguments:
      • name: Name for the job
      • notebook_path: Path to the notebook to execute
      • schedule_mode: Once or Recurring
      • execution_interval_minutes: Minutes between executions (optional)
      • start_at: When to start the job (optional)
      • description: Description of the job (optional)
      • create_snapshot: Whether to create notebook snapshots (optional)
      • runtime_name: Name of the runtime environment
      • parameters: Parameters for the job (optional)
      • target_config: Target configuration for the job (optional)
    • Returns details of the created job
  • get_job_details: Get details about a specific job
    • Arguments: job_id
    • Returns detailed information about the specified job
  • list_job_executions: List execution history for a specific job
    • Arguments: job_id, start (optional), end (optional)
    • Returns execution history for the specified job

Configuration

The server requires the following environment variables:

# SingleStore's management API key (required)
SINGLESTORE_API_KEY=your_api_key_here

# Database credentials (optional - can be provided as input parameters)
SINGLESTORE_DB_USERNAME=your_db_username_here
SINGLESTORE_DB_PASSWORD=your_db_password_here

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

singlestore_mcp_server-0.1.5.tar.gz (39.3 kB view details)

Uploaded Source

Built Distribution

singlestore_mcp_server-0.1.5-py3-none-any.whl (17.9 kB view details)

Uploaded Python 3

File details

Details for the file singlestore_mcp_server-0.1.5.tar.gz.

File metadata

  • Download URL: singlestore_mcp_server-0.1.5.tar.gz
  • Upload date:
  • Size: 39.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for singlestore_mcp_server-0.1.5.tar.gz
Algorithm Hash digest
SHA256 d8d0da0e7d3d2b61c9f6a9cdae24b7d0263aae46c34405c231c4c0f7d1c8e86a
MD5 603d00e6bdb34f6736839e320f9ffa8e
BLAKE2b-256 8b7905a06d277e783ca4e45a58c0c0057442bb10fd69b5b8df551ce452322e2e

See more details on using hashes here.

File details

Details for the file singlestore_mcp_server-0.1.5-py3-none-any.whl.

File metadata

File hashes

Hashes for singlestore_mcp_server-0.1.5-py3-none-any.whl
Algorithm Hash digest
SHA256 4bd58a9bf22af0196630e79281b41a7ae4f4a4ea99aa087f16875a4578f27214
MD5 d8383bf7f2c2c9133926b838fc9c550a
BLAKE2b-256 381541c15f89c533ec8e6a65b873ec0bd862914b91253023a65bbf2e3bae4f8f

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page