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