OpenCorporates MCP Server for LlamaIndex 6 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add OpenCorporates as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to OpenCorporates. "
"You have 6 tools available."
),
)
response = await agent.run(
"What tools are available in OpenCorporates?"
)
print(response)
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.
LlamaIndex agents combine OpenCorporates tool responses with indexed documents for comprehensive, grounded answers. Connect 6 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the OpenCorporates MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 6 tools from OpenCorporates
Why Use LlamaIndex with the OpenCorporates MCP Server
LlamaIndex provides unique advantages when paired with OpenCorporates through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine OpenCorporates tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain OpenCorporates tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query OpenCorporates, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what OpenCorporates tools were called, what data was returned, and how it influenced the final answer
OpenCorporates + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the OpenCorporates MCP Server delivers measurable value.
Hybrid search: combine OpenCorporates real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query OpenCorporates to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying OpenCorporates for fresh data
Analytical workflows: chain OpenCorporates queries with LlamaIndex's data connectors to build multi-source analytical reports
OpenCorporates MCP Tools for LlamaIndex (6)
These 6 tools become available when you connect OpenCorporates to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting OpenCorporates to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpOpenCorporates + LlamaIndex FAQ
Common questions about integrating OpenCorporates MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.