How to Use the UTM Campaign Builder MCP in LlamaIndex
Index marketing link results with LlamaIndex for knowledge-augmented search.
Works with every AI agent you already use
…and any MCP-compatible client
Connect UTM Campaign Builder MCP to LlamaIndex
Create your Vinkius account to connect UTM Campaign Builder 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.
Store and query UTM URLs using the MCP Server
The `build_utm_url` tool safely constructs and encodes marketing tracking links, which you can then index into your vector store. When an agent builds a link, LlamaIndex captures it as searchable data. This means you don't just run the tool; you save its output so you can query past campaigns months later.
Retrieve campaign link logic with LlamaIndex
You pass required inputs—base URL, source, medium—to `build_utm_url`. The resulting flawless link is then stored and becomes part of your knowledge base. You can ask questions like, 'What was the UTM link for our Q3 Facebook ads?' LlamaIndex grounds its answer in the actual API data provided by this MCP Server.
Build reliable marketing content with LlamaIndex and MCP Server
The tool allows optional parameters (`utm_campaign`, `utm_term`, etc.), giving your agent flexibility. When you build a link for a specific product launch, that complete URL is indexed. It prevents hallucinations because the output of `build_utm_url` is concrete data, not just text generation.
Set up UTM Campaign Builder 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 UTM Campaign Builder 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 UTM Campaign Builder tools.",
)
response = await agent.run("List recent UTM Campaign Builder data") Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Node URL. 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 UTM Campaign Builder MCP in LlamaIndex
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the UTM Campaign Builder MCP today
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