OpenCorporates MCP Server for CrewAI 6 tools — connect in under 2 minutes
Connect your CrewAI agents to OpenCorporates through Vinkius, pass the Edge URL in the `mcps` parameter and every OpenCorporates tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from crewai import Agent, Task, Crew
agent = Agent(
role="OpenCorporates Specialist",
goal="Help users interact with OpenCorporates effectively",
backstory=(
"You are an expert at leveraging OpenCorporates tools "
"for automation and data analysis."
),
# Your Vinkius token. get it at cloud.vinkius.com
mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)
task = Task(
description=(
"Explore all available tools in OpenCorporates "
"and summarize their capabilities."
),
agent=agent,
expected_output=(
"A detailed summary of 6 available tools "
"and what they can do."
),
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
* 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.
When paired with CrewAI, OpenCorporates becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call OpenCorporates tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
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 CrewAI 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 CrewAI via MCP
Follow these steps to integrate the OpenCorporates MCP Server with CrewAI.
Install CrewAI
Run pip install crewai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Customize the agent
Adjust the role, goal, and backstory to fit your use case
Run the crew
Run python crew.py. CrewAI auto-discovers 6 tools from OpenCorporates
Why Use CrewAI with the OpenCorporates MCP Server
CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with OpenCorporates through the Model Context Protocol.
Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
OpenCorporates + CrewAI Use Cases
Practical scenarios where CrewAI combined with the OpenCorporates MCP Server delivers measurable value.
Automated multi-step research: a reconnaissance agent queries OpenCorporates for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff
Scheduled intelligence reports: set up a crew that periodically queries OpenCorporates, analyzes trends over time, and generates executive briefings in markdown or PDF format
Multi-source enrichment pipelines: chain OpenCorporates tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow
Compliance and audit automation: a compliance agent queries OpenCorporates against predefined policy rules, generates deviation reports, and routes findings to the appropriate team
OpenCorporates MCP Tools for CrewAI (6)
These 6 tools become available when you connect OpenCorporates to CrewAI 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 CrewAI
Ready-to-use prompts you can give your CrewAI 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 CrewAI
Common issues when connecting OpenCorporates to CrewAI through the Vinkius, and how to resolve them.
MCP tools not discovered
Agent not using tools
Timeout errors
Rate limiting or 429 errors
OpenCorporates + CrewAI FAQ
Common questions about integrating OpenCorporates MCP Server with CrewAI.
How does CrewAI discover and connect to MCP tools?
tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.Can different agents in the same crew use different MCP servers?
mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.What happens when an MCP tool call fails during a crew run?
Can CrewAI agents call multiple MCP tools in parallel?
process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.Can I run CrewAI crews on a schedule (cron)?
crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.Connect OpenCorporates with your favorite client
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Connect OpenCorporates to CrewAI
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.