Knoema MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Knoema through 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="Knoema Assistant",
instructions=(
"You help users interact with Knoema. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Knoema"
)
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 Knoema MCP Server
Connect your AI agent to Knoema, the most comprehensive source of global decision-making data.
The OpenAI Agents SDK auto-discovers all 10 tools from Knoema through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Knoema, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Dataset Discovery — Search through millions of datasets from official sources like IMF, World Bank, and UN
- Data Retrieval — Fetch precise time-series data using mnemonics for your analysis and forecasting
- Metadata Auditing — Get detailed information about data sources, units, and frequencies
- Granular Search — Find specific indicators (e.g., GDP, CPI, Crude Oil Price) across multiple providers
- Visualization Support — Access atlas and dashboard resources for visual data context
Use Cases
- Economic Analysis — gather historical and current macro indicators for market research
- Business Planning — use demographic and sector data to inform strategy
- Scientific Research — find environmental and social datasets for academic or professional studies
The Knoema MCP Server exposes 10 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 Knoema to OpenAI Agents SDK via MCP
Follow these steps to integrate the Knoema 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 10 tools from Knoema
Why Use OpenAI Agents SDK with the Knoema MCP Server
OpenAI Agents SDK provides unique advantages when paired with Knoema 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
Knoema + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Knoema MCP Server delivers measurable value.
Automated workflows: build agents that query Knoema, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Knoema, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Knoema tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Knoema to resolve tickets, look up records, and update statuses without human intervention
Knoema MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Knoema to OpenAI Agents SDK via MCP:
get_data_series
Requires dataset ID and a list of mnemonics. Get specific data series
get_dataset_metadata
Critical for understanding what variables are available. Get metadata for a specific dataset
get_knoema_resource
Get a generic frontend resource
get_latest_dataset_data
Get the most recent data points for a dataset
list_data_frequencies
g., Annual, Quarterly, Monthly). List available data frequencies
list_data_topics
g., Agriculture, Economy, Demographics). List all available data topics in Knoema
list_data_units
g., Percentage, USD, Kilograms). List measurement units
list_dataset_regions
) supported by a specific dataset. List regions available in a dataset
search_data_series
More granular than dataset search. Ideal for finding specific indicators. Search for specific data series across all datasets
search_datasets
Returns dataset IDs and metadata. Use this to find the correct data source for your statistics. Search for datasets in Knoema
Example Prompts for Knoema in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Knoema immediately.
"Search for datasets about renewable energy in Europe"
"Get the metadata for dataset 'IMFWEOS2024Oct'"
"Search for crude oil price series"
Troubleshooting Knoema MCP Server with OpenAI Agents SDK
Common issues when connecting Knoema to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Knoema + OpenAI Agents SDK FAQ
Common questions about integrating Knoema 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 Knoema 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 Knoema to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.