Expansify AI MCP Server for LlamaIndexGive LlamaIndex instant access to 6 tools to Analyze Keyword Seo, Create Campaign, Generate Ai Content, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Expansify AI 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 App Connector for LlamaIndex
The Expansify AI app connector for LlamaIndex is a standout in the Marketing Automation category — giving your AI agent 6 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Expansify AI. "
"You have 6 tools available."
),
)
response = await agent.run(
"What tools are available in Expansify AI?"
)
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 Expansify AI MCP Server
Connect your Expansify AI account to any AI agent and take full control of your content marketing and SEO workflows through natural conversation.
LlamaIndex agents combine Expansify AI tool responses with indexed documents for comprehensive, grounded answers. Connect 6 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
- Campaign Orchestration — List and manage all AI content campaigns and retrieve detailed metadata about strategy and performance programmatically
- Automated Content Generation — Programmatically generate blog posts, social media updates, and ad copy by providing prompts and content types directly through your agent
- SEO Intelligence — List and monitor tracked SEO keywords to maintain a high-fidelity oversight of your search engine visibility
- Keyword Analysis — Trigger deep SEO analysis for specific keywords to optimize your content strategy and identify ranking opportunities
- Content Library Navigation — Access the complete history of generated AI content to reuse or refine previous marketing materials
The Expansify AI MCP Server exposes 6 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.
All 6 Expansify AI tools available for LlamaIndex
When LlamaIndex connects to Expansify AI through Vinkius, your AI agent gets direct access to every tool listed below — spanning content-generation, campaign-management, seo-tracking, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Analyze a keyword for SEO
Create a new content campaign
). Generate new AI content
List all AI content campaigns
List generated AI content
List tracked SEO keywords
Connect Expansify AI to LlamaIndex via MCP
Follow these steps to wire Expansify AI into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Expansify AI MCP Server
LlamaIndex provides unique advantages when paired with Expansify AI through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Expansify AI tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Expansify AI tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Expansify AI, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Expansify AI tools were called, what data was returned, and how it influenced the final answer
Expansify AI + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Expansify AI MCP Server delivers measurable value.
Hybrid search: combine Expansify AI real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Expansify AI 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 Expansify AI for fresh data
Analytical workflows: chain Expansify AI queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Expansify AI in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Expansify AI immediately.
"Generate a blog post about 'The future of RAG in 2026' using Expansify AI."
"List all my active content campaigns."
"Analyze the SEO difficulty for the keyword 'mcp server implementation'."
Troubleshooting Expansify AI MCP Server with LlamaIndex
Common issues when connecting Expansify AI to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpExpansify AI + LlamaIndex FAQ
Common questions about integrating Expansify AI MCP Server with LlamaIndex.