How do I find my Tianyancha API Token?

Log in to the [Tianyancha OpenAPI Platform](https://open.tianyancha.com/), go to [Control Panel] -> [My Interface], and you will find your unique Authorization Token there.

Is there a limit to the search queries?

The search limits depend on your Tianyancha OpenAPI subscription plan. Ensure your token has the necessary permissions enabled for the interfaces you want to use.

Can I check contact information for companies?

Yes. Use the `get_contact_info` tool with a company name or keyword to retrieve phone numbers, emails, and official addresses registered in the database.

Tianyancha / 天眼查 MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: Tianyancha / 天眼查
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Tianyancha / 天眼查 through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "tianyancha": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Tianyancha / 天眼查, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

LangChain's ecosystem of 500+ components combines seamlessly with Tianyancha / 天眼查 through native MCP adapters. Connect 10 tools via the Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures — with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Tianyancha / 天眼查 MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from Tianyancha / 天眼查 via MCP

Why Use LangChain with the Tianyancha / 天眼查 MCP Server

LangChain provides unique advantages when paired with Tianyancha / 天眼查 through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents — combine Tianyancha / 天眼查 MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Tianyancha / 天眼查 queries for multi-turn workflows

Tianyancha / 天眼查 + LangChain Use Cases

Practical scenarios where LangChain combined with the Tianyancha / 天眼查 MCP Server delivers measurable value.

RAG with live data: combine Tianyancha / 天眼查 tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Tianyancha / 天眼查, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Tianyancha / 天眼查 tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Tianyancha / 天眼查 tool call, measure latency, and optimize your agent's performance

Tianyancha / 天眼查 MCP Tools for LangChain (10)

These 10 tools become available when you connect Tianyancha / 天眼查 to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

Common issues when connecting Tianyancha / 天眼查 to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Tianyancha / 天眼查 + LangChain FAQ

Common questions about integrating Tianyancha / 天眼查 MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.