Astra DB MCP Server

AI Database Astra DB Integration

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FlowHunt provides an additional security layer between your internal systems and AI tools, giving you granular control over which tools are accessible from your MCP servers. MCP servers hosted in our infrastructure can be seamlessly integrated with FlowHunt's chatbot as well as popular AI platforms like ChatGPT, Claude, and various AI editors.

What does “Astra DB” MCP Server do?

The Astra DB MCP Server is a Model Context Protocol (MCP) server designed for seamless integration between Large Language Models (LLMs) and Astra DB, a cloud-native database service. By acting as a bridge, it empowers AI assistants and agentic workflows to securely query, manage, and interact with Astra DB resources. Developers gain the ability to automate complex database operations, retrieve or manipulate data, and handle workloads directly from their AI-driven tools or chat-based interfaces. This enhances productivity by offloading repetitive or intricate database management tasks to AI, while ensuring secure, controlled access to Astra DB’s robust features.

List of Prompts

No information available on prompt templates in the repository or documentation.

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List of Resources

No explicit list of resources found in the documentation or codebase.

List of Tools

No explicit tool definitions found in server.py or other code files. The repository includes a tools directory and a tools.ts file, but no details are provided in the available documentation.

Use Cases of this MCP Server

  • Database Query Automation: Enable AI-powered querying of Astra DB, reducing manual SQL/CQL writing and accelerating data retrieval.
  • Data Management: Allow LLMs to insert, update, or delete records in Astra DB, streamlining routine database administration tasks.
  • Integration into Development Workflows: Embed Astra DB interactions within AI coding assistants (e.g., Claude Desktop, Cursor) for direct context-aware data operations.
  • Agentic Data Analysis: Facilitate LLMs to analyze data in Astra DB and generate insights or reports automatically.
  • API-based Orchestration: Use AI to orchestrate Astra DB alongside other services/APIs for multi-system workflows.

How to set it up

Windsurf

No setup instructions for Windsurf found in the repository.

Claude

  1. Open Preferences → Developer → Edit Config in Claude Desktop.
  2. Add the following JSON to your claude_desktop_config.json:
    {
      "mcpServers": {
        "astra-db-mcp": {
          "command": "npx",
          "args": ["-y", "@datastax/astra-db-mcp"],
          "env": {
            "ASTRA_DB_APPLICATION_TOKEN": "your_astra_db_token",
            "ASTRA_DB_API_ENDPOINT": "your_astra_db_endpoint"
          }
        }
      }
    }
    
  3. For Windows PowerShell, use:
    {
      "command": "cmd",
      "args": ["/k", "npx", "-y", "@datastax/astra-db-mcp"]
    }
    
  4. Save the configuration.
  5. Restart Claude Desktop and verify connection to Astra DB MCP.

Securing API Keys:
Store sensitive values like ASTRA_DB_APPLICATION_TOKEN and ASTRA_DB_API_ENDPOINT in the env section of your MCP server config.

Cursor

No setup details found for Cursor in the provided files.

Cline

No setup details found for Cline in the provided files.

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

FlowHunt MCP flow

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "astra-db-mcp": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “astra-db-mcp” to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.


Overview

SectionAvailabilityDetails/Notes
OverviewDescription available
List of PromptsNo prompt templates found
List of ResourcesNo explicit resources listed
List of ToolsNo explicit tool definitions in docs or code
Securing API KeysExample provided in README
Sampling Support (less important in evaluation)Not mentioned

Our opinion

Based on the tables above, the Astra DB MCP Server offers a clear overview and secure API key management with some practical use case suggestions. However, it lacks documentation or code references for prompt templates, defined resources, and explicit tool listings. Sampling and Roots support are not described. This makes it suitable for users already familiar with Astra DB, but less accessible for those seeking out-of-the-box LLM prompt and tool interoperability.

Rating: 4/10

MCP Score

Has a LICENSE✅ (Apache-2.0)
Has at least one tool
Number of Forks15
Number of Stars26

Frequently asked questions

Connect Your AI with Astra DB

Automate database management and querying by integrating Astra DB with your AI agents via the Astra DB MCP Server. Streamline workflows and unlock powerful data-driven capabilities.

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