Astra DB MCP Server
Integrate Astra DB with AI assistants using the Astra DB MCP Server for secure, automated data access and workflow orchestration.

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.
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
- Open Preferences → Developer → Edit Config in Claude Desktop.
- 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" } } } }
- For Windows PowerShell, use:
{ "command": "cmd", "args": ["/k", "npx", "-y", "@datastax/astra-db-mcp"] }
- Save the configuration.
- 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:

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
Section | Availability | Details/Notes |
---|---|---|
Overview | ✅ | Description available |
List of Prompts | ⛔ | No prompt templates found |
List of Resources | ⛔ | No explicit resources listed |
List of Tools | ⛔ | No explicit tool definitions in docs or code |
Securing API Keys | ✅ | Example 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 Forks | 15 |
Number of Stars | 26 |
Frequently asked questions
- What is the Astra DB MCP Server?
The Astra DB MCP Server is a Model Context Protocol (MCP) server that enables seamless, secure integration between Large Language Models (LLMs) and Astra DB. It allows AI agents to query, manage, and automate database tasks directly from chat-based or agentic workflows.
- What use cases does the Astra DB MCP Server support?
It supports AI-powered database querying, automated data management (insert, update, delete), integration within AI development workflows, data analysis by LLMs, and orchestrating Astra DB alongside other APIs for complex workflows.
- How do I securely store my Astra DB credentials?
Store sensitive values like ASTRA_DB_APPLICATION_TOKEN and ASTRA_DB_API_ENDPOINT in the `env` section of your MCP server configuration. This ensures your credentials are not exposed in client code or logs.
- Does the Astra DB MCP Server include prompt templates or tool definitions?
No, the current documentation and codebase do not provide prompt templates or explicit tool definitions. You may need to design custom prompts and tools for your workflow.
- Who is this MCP server best suited for?
It is ideal for developers and teams who already use Astra DB and want to automate or enhance database workflows with AI. Some technical familiarity with configuring MCP servers and Astra DB is recommended.
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.