Tianyancha / 天眼查 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 Tianyancha / 天眼查 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="Tianyancha / 天眼查 Assistant",
instructions=(
"You help users interact with Tianyancha / 天眼查. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Tianyancha / 天眼查"
)
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 Tianyancha / 天眼查 MCP Server
Empower your AI agent to orchestrate your business intelligence and due diligence with Tianyancha (天眼查), the premier enterprise data platform in China. By connecting Tianyancha to your agent, you transform complex industrial research, ownership auditing, and risk monitoring into a natural conversation. Your agent can instantly search for companies, retrieve detailed registration metadata, browse shareholder structures, and monitor industrial abnormalities without you ever needing to navigate the comprehensive Tianyancha portal. Whether you are conducting B2B lead research or auditing potential partners, your agent acts as a real-time business intelligence assistant, keeping your data accurate and your decisions informed.
The OpenAI Agents SDK auto-discovers all 10 tools from Tianyancha / 天眼查 through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Tianyancha / 天眼查, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Enterprise Orchestration — Search for companies and retrieve detailed basic and industrial metadata.
- Ownership Auditing — Browse shareholder lists and outward investments to identify corporate structures.
- Personnel Monitoring — List main staff and executives to identify key decision-makers within an enterprise.
- Risk Management — Retrieve risk indicators, court cases, and industrial abnormalities for any registered company.
- IP Tracking — Browse registered trademarks, patents, and copyrights to audit intellectual property assets.
The Tianyancha / 天眼查 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 Tianyancha / 天眼查 to OpenAI Agents SDK via MCP
Follow these steps to integrate the Tianyancha / 天眼查 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 Tianyancha / 天眼查
Why Use OpenAI Agents SDK with the Tianyancha / 天眼查 MCP Server
OpenAI Agents SDK provides unique advantages when paired with Tianyancha / 天眼查 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
Tianyancha / 天眼查 + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Tianyancha / 天眼查 MCP Server delivers measurable value.
Automated workflows: build agents that query Tianyancha / 天眼查, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Tianyancha / 天眼查, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Tianyancha / 天眼查 tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Tianyancha / 天眼查 to resolve tickets, look up records, and update statuses without human intervention
Tianyancha / 天眼查 MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Tianyancha / 天眼查 to OpenAI Agents SDK via MCP:
get_basic_info
Get enterprise basic info
get_contact_info
Get enterprise contact info
get_full_details
Get full enterprise details
list_branches
List company branches
list_investments
List outward investments
list_ip
List intellectual property
list_risks
List enterprise risk info
list_shareholders
List company shareholders
list_staff
List main staff/executives
search_enterprise
Enterprise search by keyword
Example Prompts for Tianyancha / 天眼查 in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Tianyancha / 天眼查 immediately.
"Search for companies named 'Alibaba' in Tianyancha."
"Show me the shareholder structure for 'Huawei'."
"Check for any risk information regarding 'Evergrande'."
Troubleshooting Tianyancha / 天眼查 MCP Server with OpenAI Agents SDK
Common issues when connecting Tianyancha / 天眼查 to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Tianyancha / 天眼查 + OpenAI Agents SDK FAQ
Common questions about integrating Tianyancha / 天眼查 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 Tianyancha / 天眼查 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 Tianyancha / 天眼查 to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.