How to Use the Expansify AI MCP in LlamaIndex

Q: Can I use Expansify AI to clean up my LlamaIndex content index?

Yes. Your agent can run listgeneratedcontent to find outdated drafts and flag them for updates in your vector store.

Q: Does this integration support real-time SEO analysis?

Yes. The agent calls analyzekeywordseo on demand to fetch live search metrics and updates your index with the latest keyword difficulty scores.

Index your SEO data and campaign performance directly into LlamaIndex vector stores for smarter context retrieval.

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Connect Expansify AI MCP to LlamaIndex

Create your Vinkius account to connect Expansify AI 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 Expansify AI with LlamaIndex

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Index live SEO metrics into LlamaIndex

This MCP Server lets your LlamaIndex agent fetch keyword performance with `list_tracked_keywords` and store those metrics directly in your vector database. Turn raw search metrics into searchable context for your RAG pipeline. Your agent queries this index to find patterns in what content ranks best. Instead of guessing, your system uses actual data from `analyze_keyword_seo` to ground its future writing tasks.

Ground content generation in past campaign data

LlamaIndex queries your historical campaign data using `list_campaigns` and feeds those successful formats directly into your generation prompts. Stop generating generic marketing copy that ignores your brand voice. When you run `generate_ai_content`, your agent references your indexed history. This keeps your messaging consistent across your entire catalog without manual editing.

Semantic search over generated marketing assets

LlamaIndex indexes the output of `list_generated_content` so you can search your asset library using natural language queries. Keep track of everything your team has written without digging through endless files. If you need to find a past post about a specific feature, your agent retrieves the exact text instantly. You can then quickly spin up a new initiative with `create_campaign` based on those past wins.

Setup guide

Set up Expansify AI 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 Expansify AI 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 Expansify AI tools.",
)
response = await agent.run("List recent Expansify AI 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 Expansify AI. 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 Expansify AI MCP in LlamaIndex

You load the tools using the MCP tool spec and pass them to your agent. This lets the agent query `list_tracked_keywords` and index the results.

Yes. Your agent can run `list_generated_content` to find outdated drafts and flag them for updates in your vector store.

The agent runs semantic search over your index, identifies content gaps, and uses `create_campaign` to start a new targeted marketing run.

Yes. The agent calls `analyze_keyword_seo` on demand to fetch live search metrics and updates your index with the latest keyword difficulty scores.

Your campaign lists and marketing drafts are accessed via secure, single-token endpoints. No persistent logs are kept, and all data in transit is encrypted.

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