Can I test my RAG pipelines directly via my AI agent?

Yes. Use the `run_pipeline` tool to dispatch a query to any registered pipeline in your workspace. Your agent will return the response from the NLP topology, allowing you to verify retriever performance and LLM grounding without leaving your workspace.

How can I audit my document indexing status?

Ask your agent to list files in your workspace. You can then get specific metadata for any file to ensure embeddings and attributes are correctly attached. This is essential for debugging retrieval issues in production environments.

Is it possible to manage multiple deepset Cloud workspaces?

Absolutely. The agent provides high-level workspace listing, allowing you to navigate across tenant boundaries and isolation zones easily. You just need to provide the workspace name to any pipeline or search command.

Haystack (deepset Cloud) MCP Server for OpenAI Agents SDK 7 tools — connect in under 2 minutes

Name: Haystack (deepset Cloud)
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 Haystack (deepset Cloud) 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="Haystack (deepset Cloud) Assistant",
            instructions=(
                "You help users interact with Haystack (deepset Cloud). "
                "You have access to 7 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Haystack (deepset Cloud)"
        )
        print(result.final_output)

asyncio.run(main())

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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 Haystack (deepset Cloud) MCP Server

Connect your deepset Cloud account to any AI agent and manage your Haystack-powered RAG pipelines through natural conversation.

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

What you can do

Workspaces — List and manage isolated environments for different search contexts
Pipelines — Visualize NLP topologies, including embedding nodes and retriever logic
Run Search — Dispatch immediate LLM or Retriever invocations to test RAG pipelines
Document Management — List files and inspect metadata attached to source document embeddings
Vector Search — Trigger dense or sparse vector searches over indexed enterprise knowledge

The Haystack (deepset Cloud) 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 Haystack (deepset Cloud) to OpenAI Agents SDK via MCP

Follow these steps to integrate the Haystack (deepset Cloud) 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 Haystack (deepset Cloud)

Why Use OpenAI Agents SDK with the Haystack (deepset Cloud) MCP Server

OpenAI Agents SDK provides unique advantages when paired with Haystack (deepset Cloud) 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

Haystack (deepset Cloud) + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Haystack (deepset Cloud) MCP Server delivers measurable value.

Automated workflows: build agents that query Haystack (deepset Cloud), process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Haystack (deepset Cloud), another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Haystack (deepset Cloud) tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Haystack (deepset Cloud) to resolve tickets, look up records, and update statuses without human intervention

Haystack (deepset Cloud) MCP Tools for OpenAI Agents SDK (7)

These 7 tools become available when you connect Haystack (deepset Cloud) to OpenAI Agents SDK via MCP:

get_file

Get file metadata

get_pipeline

Get pipeline details

list_files

List uploaded files

list_pipelines

List pipelines

list_workspaces

List workspaces

run_pipeline

Run a pipeline search

search_documents

Search documents in index

Example Prompts for Haystack (deepset Cloud) in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Haystack (deepset Cloud) immediately.

"List all pipelines in my 'production' workspace"

"Run a search for 'AI security compliance' using the default-rag pipeline"

"List the files in my 'knowledge-base' workspace"

Troubleshooting Haystack (deepset Cloud) MCP Server with OpenAI Agents SDK

Common issues when connecting Haystack (deepset Cloud) 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.

Haystack (deepset Cloud) + OpenAI Agents SDK FAQ

Common questions about integrating Haystack (deepset Cloud) 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.