GroundX MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 12 tools to Create Bucket, Create Group, Get Customer Info, and more
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect GroundX through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
Ask AI about this App Connector for OpenAI Agents SDK
The GroundX app connector for OpenAI Agents SDK is a standout in the Knowledge Management category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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="GroundX Assistant",
instructions=(
"You help users interact with GroundX. "
"You have access to 12 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from GroundX"
)
print(result.final_output)
asyncio.run(main())
* 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 GroundX MCP Server
The GroundX MCP server enables your AI agent to search across enterprise data stores and manage RAG (Retrieval-Augmented Generation) pipelines, retrieving highly relevant document chunks seamlessly.
The OpenAI Agents SDK auto-discovers all 12 tools from GroundX through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries GroundX, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
The GroundX MCP Server exposes 12 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.
All 12 GroundX tools available for OpenAI Agents SDK
When OpenAI Agents SDK connects to GroundX through Vinkius, your AI agent gets direct access to every tool listed below — spanning rag-as-a-service, data-search, document-retrieval, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Create a new bucket
Create a new group
Retrieve account and customer details
Check the processing status of an ingestion task
Ingest documents into GroundX from URLs or local paths
Crawl and ingest content from a website URL
List all buckets (containers for documents)
List all ingested documents
List all groups (aggregations of buckets)
List all RAG workflows
Perform semantic search across all content
Search for specific documents based on metadata or content
Connect GroundX to OpenAI Agents SDK via MCP
Follow these steps to wire GroundX into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the GroundX MCP Server
OpenAI Agents SDK provides unique advantages when paired with GroundX 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
GroundX + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the GroundX MCP Server delivers measurable value.
Automated workflows: build agents that query GroundX, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries GroundX, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through GroundX tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query GroundX to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for GroundX in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with GroundX immediately.
"List all my GroundX data buckets."
"Search for 'refund policy' in bucket 102."
"Check the document count in bucket 101."
Troubleshooting GroundX MCP Server with OpenAI Agents SDK
Common issues when connecting GroundX to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
GroundX + OpenAI Agents SDK FAQ
Common questions about integrating GroundX MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.