Decodo (Smartproxy) MCP Server for LlamaIndex 9 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Decodo (Smartproxy) 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 Decodo (Smartproxy). "
"You have 9 tools available."
),
)
response = await agent.run(
"What tools are available in Decodo (Smartproxy)?"
)
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 Decodo (Smartproxy) MCP Server
Connect your Decodo (Smartproxy) account to any AI agent to control your proxy endpoints, audit infrastructure, and track SERP/scraping data seamlessly. Interact with your server architecture and networking limits using natural language without jumping out of your IDE.
LlamaIndex agents combine Decodo (Smartproxy) tool responses with indexed documents for comprehensive, grounded answers. Connect 9 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
- Inventory Management — Effortlessly pull a list of active
list_proxy_endpoints,list_datacenter_proxies, andlist_residential_proxies - Live Bandwidth Monitoring — Run
get_traffic_usagedirectly inside the AI prompt to see if you are about to hit your monthly data quota cap - Bot Statistics — Evaluate the health of your bots automatically by checking
get_scraper_statsfor eCommerce and SERP scrapers - Reselling & Accounts — Generate your
list_subscriptionsdetails, retrieve your general account health, or list all nested sub-users associated with the account
The Decodo (Smartproxy) MCP Server exposes 9 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 Decodo (Smartproxy) to LlamaIndex via MCP
Follow these steps to integrate the Decodo (Smartproxy) 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 9 tools from Decodo (Smartproxy)
Why Use LlamaIndex with the Decodo (Smartproxy) MCP Server
LlamaIndex provides unique advantages when paired with Decodo (Smartproxy) through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Decodo (Smartproxy) tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Decodo (Smartproxy) tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Decodo (Smartproxy), a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Decodo (Smartproxy) tools were called, what data was returned, and how it influenced the final answer
Decodo (Smartproxy) + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Decodo (Smartproxy) MCP Server delivers measurable value.
Hybrid search: combine Decodo (Smartproxy) real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Decodo (Smartproxy) 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 Decodo (Smartproxy) for fresh data
Analytical workflows: chain Decodo (Smartproxy) queries with LlamaIndex's data connectors to build multi-source analytical reports
Decodo (Smartproxy) MCP Tools for LlamaIndex (9)
These 9 tools become available when you connect Decodo (Smartproxy) to LlamaIndex via MCP:
get_account_details
Retrieves Smartproxy account information
get_scraper_stats
Retrieves statistics for scraping APIs
get_traffic_usage
Retrieves traffic usage statistics
list_datacenter_proxies
Lists datacenter proxy configurations
list_dedicated_proxies
Lists dedicated proxy assignments
list_proxy_endpoints
Lists available proxy endpoints
list_residential_proxies
Lists residential proxy configurations
list_sub_users
Lists all proxy sub-users
list_subscriptions
Lists active proxy subscriptions
Example Prompts for Decodo (Smartproxy) in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Decodo (Smartproxy) immediately.
"Find all of our active datacenter proxy endpoints."
"Use Decodo and query my scraping success rate summary."
"Have we exceeded the traffic usage on the account?"
Troubleshooting Decodo (Smartproxy) MCP Server with LlamaIndex
Common issues when connecting Decodo (Smartproxy) to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpDecodo (Smartproxy) + LlamaIndex FAQ
Common questions about integrating Decodo (Smartproxy) 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 Decodo (Smartproxy) 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 Decodo (Smartproxy) to LlamaIndex
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.