watsonx Discovery MCP Server for OpenAI Agents SDK 6 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect watsonx Discovery through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="watsonx Discovery Assistant",
instructions=(
"You help users interact with watsonx Discovery. "
"You have access to 6 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from watsonx Discovery"
)
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 watsonx Discovery MCP Server
Connect your IBM watsonx Discovery account to any AI agent and harness the power of cognitive search and NLP-driven text analytics through natural conversation.
The OpenAI Agents SDK auto-discovers all 6 tools from watsonx Discovery through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries watsonx Discovery, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Cognitive Search — Perform natural language or Discovery Query Language (DQL) queries against your data collections for high-quality semantic search
- Data Discovery — Browse and list all data collections within your project to retrieve collection and document IDs
- Document Analysis — Retrieve comprehensive metadata, ingestion status, and technical details for specific indexed documents
- NLP Enrichments — List and monitor available enrichments (NLP models) like Sentiment, Entities, and Keywords being applied to your data
- Component Health — Verify project-level configurations, ingestion notices, and health settings for all project components
- Semantic Insights — Surface relevant information and hidden patterns from massive unstructured datasets through simple chat commands
The watsonx Discovery MCP Server exposes 6 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 watsonx Discovery to OpenAI Agents SDK via MCP
Follow these steps to integrate the watsonx Discovery 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 6 tools from watsonx Discovery
Why Use OpenAI Agents SDK with the watsonx Discovery MCP Server
OpenAI Agents SDK provides unique advantages when paired with watsonx Discovery 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
watsonx Discovery + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the watsonx Discovery MCP Server delivers measurable value.
Automated workflows: build agents that query watsonx Discovery, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries watsonx Discovery, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through watsonx Discovery tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query watsonx Discovery to resolve tickets, look up records, and update statuses without human intervention
watsonx Discovery MCP Tools for OpenAI Agents SDK (6)
These 6 tools become available when you connect watsonx Discovery to OpenAI Agents SDK via MCP:
get_component_settings
Retrieves the configuration and health settings for project components
get_document_details
Retrieves metadata and status for a specific indexed document
list_available_enrichments
g., Sentiment, Entities) are being applied to documents. Lists all enrichments (NLP models) configured for the project
list_collection_documents
Lists all documents indexed within a specific collection
list_discovery_collections
Lists all data collections within the current watsonx Discovery project
query_discovery_content
Provide a collection ID and the query text. Performs a natural language or DQL query against a discovery collection
Example Prompts for watsonx Discovery in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with watsonx Discovery immediately.
"List all my Discovery collections."
"Search the 'Legal Documents' collection for 'contract termination clauses'."
"What enrichments are currently active in my project?"
Troubleshooting watsonx Discovery MCP Server with OpenAI Agents SDK
Common issues when connecting watsonx Discovery to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
watsonx Discovery + OpenAI Agents SDK FAQ
Common questions about integrating watsonx Discovery 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.Does the SDK support streaming responses?
Connect watsonx Discovery with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect watsonx Discovery to OpenAI Agents SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.