Can my AI agent do similarity searches across vector embeddings?

Yes. Ask the agent to find documents related to a specific vector array in your target collection. The agent natively passes the numerical array directly into Astra DB's ANN engine, instantly returning the top semantically matched documents.

Does this work like standard Cassandra or is it strictly vector-only?

Both. While it excels at vector searches, the integration fully supports standard NoSQL JSON documents. You can insert, find, count, and delete standard text documents using strict JSON filters just like regular database operations.

Can I switch seamlessly between different collections?

Absolutely. Just mention the target collection by name in your prompts, and the agent adapts flawlessly. If you forget which ones exist, you can instruct it to list all available collections within your default namespace anytime.

DataStax Astra DB Vector MCP Server for OpenAI Agents SDK 7 tools — connect in under 2 minutes

Name: DataStax Astra DB Vector
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 7 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect DataStax Astra DB Vector through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="DataStax Astra DB Vector Assistant",
            instructions=(
                "You help users interact with DataStax Astra DB Vector. "
                "You have access to 7 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from DataStax Astra DB Vector"
        )
        print(result.final_output)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About DataStax Astra DB Vector MCP Server

Connect your Astra DB instance to any AI agent and seamlessly execute complex NoSQL and vector searches through natural conversation. Built on DataStax's powerful engine, this integration gives your AI agents full contextual access to your unstructured data layer.

The OpenAI Agents SDK auto-discovers all 7 tools from DataStax Astra DB Vector through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries DataStax Astra DB Vector, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Vector Search — Perform Approximate Nearest Neighbor (ANN) similarity searches directly within your chat to find semantically related documents
Document Management — Insert, discover, read, count, or delete exact NoSQL JSON documents across your active collections
Collections — List and browse available tables and collections currently active in your configured Astra DB namespace

The DataStax Astra DB Vector MCP Server exposes 7 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect DataStax Astra DB Vector to OpenAI Agents SDK via MCP

Follow these steps to integrate the DataStax Astra DB Vector MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 7 tools from DataStax Astra DB Vector

Why Use OpenAI Agents SDK with the DataStax Astra DB Vector MCP Server

OpenAI Agents SDK provides unique advantages when paired with DataStax Astra DB Vector through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

DataStax Astra DB Vector + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the DataStax Astra DB Vector MCP Server delivers measurable value.

Automated workflows: build agents that query DataStax Astra DB Vector, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries DataStax Astra DB Vector, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through DataStax Astra DB Vector tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query DataStax Astra DB Vector to resolve tickets, look up records, and update statuses without human intervention

DataStax Astra DB Vector MCP Tools for OpenAI Agents SDK (7)

These 7 tools become available when you connect DataStax Astra DB Vector to OpenAI Agents SDK via MCP:

count_documents

Count total documents in an Astra DB collection

delete_document

Delete a document from an Astra DB collection

find_documents

Useful for standard NoSQL document retrieval. Find documents in an Astra DB collection

find_one_document

Find a single document in an Astra DB collection

insert_document

The document can include a pre-generated $vector key for embedding searches. Insert a new document into an Astra DB collection

list_collections

List all collections in the Astra DB namespace

vector_search

Perform an ANN vector similarity search on an Astra DB collection

Example Prompts for DataStax Astra DB Vector in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with DataStax Astra DB Vector immediately.

"List the collections available in my Astra DB."

"Count the documents inside the 'products' collection."

"Find documents matching this filter in 'user_vectors': {"city": "San Francisco"}."

Troubleshooting DataStax Astra DB Vector MCP Server with OpenAI Agents SDK

Common issues when connecting DataStax Astra DB Vector to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

DataStax Astra DB Vector + OpenAI Agents SDK FAQ

Common questions about integrating DataStax Astra DB Vector MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.