How to Use the DataStax Astra DB Vector MCP in OpenAI Agents SDK

Q: Can I use DataStax Astra DB Vector to index documents in OpenAI Agents SDK?

Yes, you insert records using the insertdocument tool. Include your pre-generated vectors in the document payload to make them searchable by your agent.

Connect DataStax Astra DB Vector to your OpenAI Agents SDK production pipeline for reliable document management.

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Connect DataStax Astra DB Vector MCP to OpenAI Agents SDK

Create your Vinkius account to connect DataStax Astra DB Vector to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup DataStax Astra DB Vector with OpenAI Agents SDK

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Perform vector searches with OpenAI Agents SDK

Your agent runs `vector_search` to pull relevant records directly from your Astra DB namespace. It maps incoming data to your internal logic without needing intermediate translation layers. This workflow relies on the server to handle the heavy lifting of ANN similarity queries. You get precise context for your agent decisions immediately.

Manage collections inside OpenAI Agents SDK

Use `list_collections` to audit your database state before running operations. It prevents your agent from targeting the wrong namespace during execution. This keeps your environment clean while providing the agent full visibility into your schema. You avoid guessing which collections hold your active data sets.

Document CRUD operations for OpenAI Agents SDK

Run `insert_document` or `delete_document` to update your database in real-time. Your agent maintains the source of truth without manual database intervention. `count_documents` lets you verify the total record volume for reporting. It ensures your agent logic stays synchronized with your actual data growth.

Setup guide

Set up DataStax Astra DB Vector MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all DataStax Astra DB Vector tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives DataStax Astra DB Vector tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate DataStax Astra DB Vector tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="DataStax Astra DB Vector Agent",
            instructions="You have access to DataStax Astra DB Vector tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about DataStax Astra DB Vector MCP in OpenAI Agents SDK

The server exposes seven tools that your agent calls natively. You pass the server parameters to the constructor, and the agent maps the schema automatically.

Yes, you insert records using the `insert_document` tool. Include your pre-generated vectors in the document payload to make them searchable by your agent.

It handles ANN similarity searches efficiently. Your agent receives the results as standard JSON objects ready for immediate processing.

Vinkius handles authentication via a single endpoint token. Your agent communication remains isolated within the V8 sandbox environment.

The server only touches your document metadata and vector indices. We enforce strict transport encryption, and your raw data never leaves your defined infrastructure scope.

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