How to Use the Fomo MCP in LlamaIndex

Q: How does Fomo integrate with LlamaIndex for analytics?

Your agent uses listevents to pull history, which LlamaIndex then indexes. You can ask questions about your conversion trends and get answers based on real API data.

Q: Can LlamaIndex users search Fomo templates?

Absolutely. Your agent uses listtemplates to index your current designs, making them searchable for future content generation tasks.

Q: Can I update Fomo events from LlamaIndex?

Yes. Use updateevent to modify existing entries. Your agent can perform these updates based on findings from your RAG queries.

Turn social proof data into queryable knowledge with LlamaIndex and your Fomo MCP Server.

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Connect Fomo MCP to LlamaIndex

Create your Vinkius account to connect Fomo 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 Fomo with LlamaIndex

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Index Fomo events for LlamaIndex

The `list_events` tool pulls your latest notifications directly into your index. LlamaIndex then treats these events as searchable context for your RAG applications. Combine this with `get_template` to let your agent reason about which messaging performs best. It turns raw feed data into an actionable knowledge base.

Query social proof with LlamaIndex

Your agent can use `get_application_info` to ground its answers in your current account status. It knows exactly what is happening in your store because it queries the API live. This creates a feedback loop where the agent understands your conversion history. It uses `list_push_messages` to see what has already been sent to your audience.

Control Fomo tools within LlamaIndex

Filter which tools your agent can access using the `allowed_tools` list. This keeps your social proof logic contained and secure while letting the agent perform complex reasoning. Use `create_template` to generate new variations based on your indexed history. The agent proposes changes based on what it finds in your existing data.

Setup guide

Set up Fomo 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 Fomo 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 Fomo tools.",
)
response = await agent.run("List recent Fomo 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 Fomo. 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.

Why Choose Vinkius

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Common questions about Fomo MCP in LlamaIndex

Your agent uses `list_events` to pull history, which LlamaIndex then indexes. You can ask questions about your conversion trends and get answers based on real API data.

Absolutely. Your agent uses `list_templates` to index your current designs, making them searchable for future content generation tasks.

Yes. Your data remains within your local agent context. This MCP Server only provides the tools to pull the records you authorize.

Yes. Use `update_event` to modify existing entries. Your agent can perform these updates based on findings from your RAG queries.

It interacts with event metadata, template strings, and integration lists. This server keeps these records isolated to ensure your account information stays protected.

Use it with your favorite AI tools

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