DataForSEO 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 DataForSEO 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 DataForSEO. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in DataForSEO?"
)
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 DataForSEO MCP Server
Connect your DataForSEO account to any AI agent and take full control of your search engine marketing and data research workflows through natural conversation.
LlamaIndex agents combine DataForSEO 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
- Organic SERP Auditing — List 100+ deep positional stats for Google, Bing, Yahoo, Yandex, and Baidu to identify topical authority and ranking limits
- Google Maps Navigation — Analyze local GMB 3-pack nodes down to exact GPS review coordinates and verify local business discoverability
- Real-Time News Monitoring — Retrieve explicitly fresh PR and syndicated publication stamps from Google News, bypassing standard cache strictly
- Visual Search Discovery — Index purely visual array vectors matching exact keywords from Google Images to monitor brand visual footprints
- Amazon Retail Insights — Capture live Price, BSR (Best Sellers Rank), and Prime Stock variables natively by ASIN to audit e-commerce competition
- Geographic Precision — Specify exact map location strings (e.g., 'London, England') to retrieve localized search results and regional ranking differentials
The DataForSEO 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 DataForSEO to LlamaIndex via MCP
Follow these steps to integrate the DataForSEO 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 DataForSEO
Why Use LlamaIndex with the DataForSEO MCP Server
LlamaIndex provides unique advantages when paired with DataForSEO through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine DataForSEO tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain DataForSEO tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query DataForSEO, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what DataForSEO tools were called, what data was returned, and how it influenced the final answer
DataForSEO + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the DataForSEO MCP Server delivers measurable value.
Hybrid search: combine DataForSEO real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query DataForSEO 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 DataForSEO for fresh data
Analytical workflows: chain DataForSEO queries with LlamaIndex's data connectors to build multi-source analytical reports
DataForSEO MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect DataForSEO to LlamaIndex via MCP:
amazon_asin
Identify precise active arrays spanning native Hold parsing
baidu_organic
` parsing CN exact local search features excluding un-indexed subsets. Identify precise active arrays spanning native Gateway auth
bing_organic
` tracking Microsoft Graph differentials against the main Google DB natively. Irreversibly vaporize explicit validations extracting rich Churn flags
google_images
Retrieve explicit Cloud logging tracing explicit Vault limits
google_maps
Perform structural extraction of properties driving active Account logic
google_news
Provision a highly-available JSON Payload generating hard Customer bindings
google_organic
Identify bounded CRM records inside the Headless DataForSEO Platform
yahoo_organic
` identifying Legacy SERP positions across regional domains specifically. Enumerate explicitly attached structured rules exporting active Billing
yandex_organic
` resolving top ranking CIS regional indexes fully decoupled from western rules. Dispatch an automated validation check routing explicit Gateway history
youtube_organic
` returning direct streaming video rankings and exact metadata counts. Inspect deep internal arrays mitigating specific Plan Math
Example Prompts for DataForSEO in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with DataForSEO immediately.
"Get Google organic results for 'best CRM software' in the United States"
"Show me the top 3 businesses on Google Maps for 'Italian Restaurant' in London"
"Get Amazon price and BSR for ASIN 'B08N5KWB9H' in the UK"
Troubleshooting DataForSEO MCP Server with LlamaIndex
Common issues when connecting DataForSEO to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpDataForSEO + LlamaIndex FAQ
Common questions about integrating DataForSEO 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 DataForSEO 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 DataForSEO to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.