Bring Rag As A Service
to OpenAI Agents SDK
Learn how to connect GroundX to OpenAI Agents SDK and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the 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.
Built-in capabilities (12)
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
Why OpenAI Agents SDK?
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.
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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
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Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
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First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
GroundX in OpenAI Agents SDK
GroundX and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect GroundX to OpenAI Agents SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for GroundX in OpenAI Agents SDK
The GroundX 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. All 12 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in OpenAI Agents SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* 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
How Vinkius secures
GroundX for OpenAI Agents SDK
Every tool call from OpenAI Agents SDK to the GroundX MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I query my indexed documents?
Simply ask the AI agent to search for a specific term or concept, and it will query the GroundX API to retrieve the most relevant textual chunks.
Can I manage data buckets from the agent?
Yes, you can list your active buckets, check their document count, and verify index status.
Does it support adding new files to a bucket?
Currently, the integration focuses on querying the optimized indexes. File ingestion should be managed through the GroundX dashboard or a separate pipeline.
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.
Can I use multiple MCP servers in one agent?
Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
Does the SDK support streaming responses?
Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.
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.
