Tianyancha / 天眼查 MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Tianyancha / 天眼查 as an MCP tool provider through the 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 Tianyancha / 天眼查. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Tianyancha / 天眼查?"
)
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 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.
LlamaIndex agents combine Tianyancha / 天眼查 tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through the 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
- 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 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 Tianyancha / 天眼查 to LlamaIndex via MCP
Follow these steps to integrate the Tianyancha / 天眼查 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 10 tools from Tianyancha / 天眼查
Why Use LlamaIndex with the Tianyancha / 天眼查 MCP Server
LlamaIndex provides unique advantages when paired with Tianyancha / 天眼查 through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Tianyancha / 天眼查 tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Tianyancha / 天眼查 tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Tianyancha / 天眼查, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Tianyancha / 天眼查 tools were called, what data was returned, and how it influenced the final answer
Tianyancha / 天眼查 + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Tianyancha / 天眼查 MCP Server delivers measurable value.
Hybrid search: combine Tianyancha / 天眼查 real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Tianyancha / 天眼查 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 Tianyancha / 天眼查 for fresh data
Analytical workflows: chain Tianyancha / 天眼查 queries with LlamaIndex's data connectors to build multi-source analytical reports
Tianyancha / 天眼查 MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Tianyancha / 天眼查 to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Tianyancha / 天眼查 to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpTianyancha / 天眼查 + LlamaIndex FAQ
Common questions about integrating Tianyancha / 天眼查 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 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 LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.