How to Use the Decodo (Smartproxy) MCP in LlamaIndex
Index your Decodo network infrastructure into LlamaIndex for semantic search and grounded RAG responses.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Decodo (Smartproxy) MCP to LlamaIndex
Create your Vinkius account to connect Decodo (Smartproxy) 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.
Ground proxy knowledge in LlamaIndex
Index the output of `get_scraper_stats` and `list_subscriptions` into a vector store to query your infrastructure state. You get answers based on the latest API data rather than stale documentation. Your RAG application retrieves these details whenever you ask about your current setup. It turns raw proxy metrics into a searchable knowledge base for your team.
Query live proxy data with LlamaIndex
Use `list_proxy_endpoints` to populate your index with current connection details. Your application then performs semantic searches to find the best proxy for a specific task. This makes your index aware of your real-time infrastructure. You stop guessing which endpoints are available and let the agent retrieve them from the live data.
Automated infrastructure reporting
Combine `get_account_details` with your document store to generate reports on your proxy usage. LlamaIndex pulls the latest stats and synthesizes them with your internal notes. This approach gives you a unified view of your proxy network. You ask a question, and the agent provides a grounded summary based on your actual account data.
Set up Decodo (Smartproxy) MCP in LlamaIndex
Prerequisites
- Python 3.10+ installed
-
llama-index-tools-mcppackage - 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 providesBasicMCPClientandMcpToolSpec. - 2
Connect with BasicMCPClient
Point
BasicMCPClientto 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 Decodo (Smartproxy) MCP tools into nativeFunctionToolobjects that any LlamaIndex agent can use. - 4
Run with any LLM
Create a
FunctionAgentwith the tools and your preferred LLM. SwapOpenAIforAnthropic,Gemini, or any LlamaIndex-supported provider.
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 Decodo (Smartproxy) tools.",
)
response = await agent.run("List recent Decodo (Smartproxy) data") Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Decodo (Smartproxy). 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 Decodo (Smartproxy) MCP in LlamaIndex
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