How do I get a Datanyze API Token?

Log in to your Datanyze account, navigate to the API section in your settings, and you can retrieve your unique API Token from there.

What are technographics?

Technographics refers to the analysis of the software and technology tools a company uses, such as their CRM, cloud provider, or analytics platform.

Does searching for a domain use credits?

Yes, most Datanyze API calls consume credits based on your current plan. You can use the get_api_credit_balance tool to monitor your remaining credits.

Datanyze MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: Datanyze
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 Datanyze through 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({
        "datanyze": {
            "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 Datanyze, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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* 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 Datanyze MCP Server

Integrate Datanyze, the leader in technographics and B2B intelligence, directly into your AI workflow. Research target companies, identify the software technologies they use, and retrieve contact information for key decision-makers using natural language.

LangChain's ecosystem of 500+ components combines seamlessly with Datanyze through native MCP adapters. Connect 10 tools via 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

Technographic Auditing — Identify the CMS, CRM, marketing automation, and other technologies used by any domain.
Lead Generation — Search for B2B companies by industry or keyword and retrieve contact profiles.
Market Analysis — Find domains similar to your competitors and track global traffic ranks.
Credit Monitoring — Keep track of your Datanyze API credit balance directly via chat.

The Datanyze 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 Datanyze to LangChain via MCP

Follow these steps to integrate the Datanyze 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 Datanyze via MCP

Why Use LangChain with the Datanyze MCP Server

LangChain provides unique advantages when paired with Datanyze through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Datanyze 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 Datanyze queries for multi-turn workflows

Datanyze + LangChain Use Cases

Practical scenarios where LangChain combined with the Datanyze MCP Server delivers measurable value.

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

Autonomous research agents: LangChain agents query Datanyze, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Datanyze tools with web scrapers, databases, and calculators in a single agent run

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

Datanyze MCP Tools for LangChain (10)

These 10 tools become available when you connect Datanyze to LangChain via MCP:

get_api_credit_balance

Check your remaining Datanyze API credits

get_domain_contacts

Resolves individual profiles including job titles, departments, and professional social links for identified decision-makers. List key decision-makers and contact profiles for a domain

get_domain_intelligence

Returns a comprehensive profile including active software stacks, website metadata, and organizational technographic attributes. Retrieve technographics and metadata for a specific domain

get_domain_traffic_rank

Retrieve the global traffic rank for a specific domain

list_competitor_domains

Returns a list of domains sharing similar technographic profiles or industry characteristics. Find domains similar to or competing with a specific domain

list_industry_sectors

List all industry categories available for filtering

list_technology_customers

Returns a list of company domains currently identified as users of the specified platform. List companies currently using a specific technology ID

list_tracked_technologies

Returns a list of technical identifiers and category classifications for various software solutions. List all software technologies and platforms tracked by Datanyze

quick_tech_audit

Identify core technologies used by a domain

search_b2b_companies

Matches query terms against company names, industry sectors, and descriptive metadata to return a list of matching organizational entities. Search for companies matching a specific keyword or industry

Example Prompts for Datanyze in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Datanyze immediately.

"What technologies are used by 'stripe.com'?"

"Find B2B companies in the 'Fintech' industry in London."

"How many API credits do I have left?"

Troubleshooting Datanyze MCP Server with LangChain

Common issues when connecting Datanyze to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Datanyze + LangChain FAQ

Common questions about integrating Datanyze 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.