How to Use the Datanyze MCP in LlamaIndex

Q: Can LlamaIndex store Datanyze contact details in a vector database?

Yes, your agent can call getdomaincontacts and write the returned job titles and social links directly into your index. This lets you run semantic queries like find all VP-level contacts in our index.

Q: How do I limit which Datanyze tools LlamaIndex can access?

Use the allowedtools filter when setting up your MCP tool setup. You can restrict your agent to only use getdomaintrafficrank while blocking access to credit balance checks.

Index live Datanyze technographic data and contact profiles directly into LlamaIndex vector stores using this Datanyze MCP Server.

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Connect Datanyze MCP to LlamaIndex

Create your Vinkius account to connect Datanyze to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Datanyze with LlamaIndex

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Query Datanyze technographics via LlamaIndex RAG

`get_domain_intelligence` pulls active software platforms and organizational metadata for a target company domain via your LlamaIndex MCP Server integration. LlamaIndex takes this raw Datanyze JSON payload and indexes it as a document node, making complex technographic data searchable via semantic queries. Instead of reading raw Datanyze API outputs, your agent queries the LlamaIndex vector store to find which indexed companies use specific software. This turns live Datanyze lookups into a persistent, queryable knowledge base for your sales team.

Query competitor domains using semantic search

`list_competitor_domains` identifies companies with similar technographic profiles to your target accounts. LlamaIndex indexes these Datanyze competitor lists, allowing your agent to run comparative RAG pipelines to find common technical denominators across industries. You can configure the MCP tool setup to include Datanyze resources directly in the index. The LlamaIndex agent queries past competitor lookups to answer complex questions about market overlap without hitting the live API repeatedly.

Track software customer segments in real time

`list_technology_customers` outputs company domains currently using a specific software solution. LlamaIndex ingests this Datanyze list, allowing your agent to cross-reference customer lists with your existing CRM data stored in your vector database. This LlamaIndex integration lets you build dynamic lists of target accounts using specific competitor software. The agent runs the Datanyze query, updates the index, and flags new high-value prospects matching your ideal customer profile.

Setup guide

Set up Datanyze MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Datanyze MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Datanyze tools.",
)
response = await agent.run("List recent Datanyze data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Datanyze. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Datanyze MCP in LlamaIndex

Install llama-index-tools-mcp and instantiate the BasicMCPClient. Wrap it in McpToolSpec to convert tools like quick_tech_audit into LlamaIndex-compatible tools for your FunctionAgent.

Yes, your agent can call get_domain_contacts and write the returned job titles and social links directly into your index. This lets you run semantic queries like find all VP-level contacts in our index.

Use the allowed_tools filter when setting up your MCP tool setup. You can restrict your agent to only use get_domain_traffic_rank while blocking access to credit balance checks.

Yes, you can configure LlamaIndex to cache tool outputs in your storage layer. This prevents your agent from calling list_tracked_technologies multiple times for the same query, saving your API credits.

All company metadata and technographic lookups are processed in an ephemeral V8 sandbox. Vinkius manages the authentication tokens securely, ensuring your search queries never leak to external networks.

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