OpenCorporates 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 OpenCorporates 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="OpenCorporates Assistant",
instructions=(
"You help users interact with OpenCorporates. "
"You have access to 6 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from OpenCorporates"
)
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 OpenCorporates MCP Server
Empower your AI agent to orchestrate your entire corporate auditing and due diligence workflow with OpenCorporates, the world's largest open database of companies. By connecting OpenCorporates to your agent, you transform complex registration lookups into a natural conversation. Your agent can instantly search for companies across hundreds of jurisdictions, audit officer histories, and retrieve detailed corporate groupings without you ever touching a manual register. Whether you are conducting competitive analysis or background checks, your agent acts as a real-time corporate investigator, ensuring your business intelligence is always grounded in official, verified data.
The OpenAI Agents SDK auto-discovers all 6 tools from OpenCorporates through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries OpenCorporates, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Corporate Auditing — Search for companies by name across global jurisdictions and retrieve detailed metadata, including registration numbers and current status.
- Officer Oversight — Search for directors and corporate officers to maintain a clear view of organizational leadership and history.
- Jurisdiction Discovery — List and query all supported jurisdictions to understand the geographic reach of your research.
- Grouping Intelligence — Retrieve details for corporate groupings to understand complex ownership structures instantly.
- Status Monitoring — Check your API token usage and account metadata to maintain strict control over your research volume.
The OpenCorporates 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 OpenCorporates to OpenAI Agents SDK via MCP
Follow these steps to integrate the OpenCorporates 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 OpenCorporates
Why Use OpenAI Agents SDK with the OpenCorporates MCP Server
OpenAI Agents SDK provides unique advantages when paired with OpenCorporates 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
OpenCorporates + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the OpenCorporates MCP Server delivers measurable value.
Automated workflows: build agents that query OpenCorporates, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries OpenCorporates, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through OpenCorporates tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query OpenCorporates to resolve tickets, look up records, and update statuses without human intervention
OpenCorporates MCP Tools for OpenAI Agents SDK (6)
These 6 tools become available when you connect OpenCorporates to OpenAI Agents SDK via MCP:
get_api_status
Check current API token usage and status
get_company_details
Get full details for a specific company by jurisdiction and number
get_corporate_grouping
Get details for a corporate grouping
list_jurisdictions
List all jurisdictions supported by OpenCorporates
search_companies
Search for companies by name or keyword
search_officers
Search for corporate officers and directors
Example Prompts for OpenCorporates in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with OpenCorporates immediately.
"Search for companies named 'Vinkius' using OpenCorporates."
"Show company details for 'google' in jurisdiction 'us_de' (Delaware)."
"Find corporate officers named 'John Smith'."
Troubleshooting OpenCorporates MCP Server with OpenAI Agents SDK
Common issues when connecting OpenCorporates to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
OpenCorporates + OpenAI Agents SDK FAQ
Common questions about integrating OpenCorporates 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 OpenCorporates 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 OpenCorporates to OpenAI Agents SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.
