Fomo MCP Server for LlamaIndex 11 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Fomo as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
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 Fomo. "
"You have 11 tools available."
),
)
response = await agent.run(
"What tools are available in Fomo?"
)
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 Fomo MCP Server
Connect your Fomo account to any AI agent to automate your social proof marketing and notification feeds through the Model Context Protocol (MCP). Fomo allows you to programmatically push real-time customer interactions, such as purchases or sign-ups, directly to your website's live feed. This MCP server enables you to manage your notification events, design new templates, and monitor integrations directly through natural conversation.
LlamaIndex agents combine Fomo tool responses with indexed documents for comprehensive, grounded answers. Connect 11 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.
Key Features
- Real-time Events — Push new customer interactions to your live feed and manage existing events instantly.
- Template Design — Programmatically create and list notification templates to define how your social proof looks.
- Event Monitoring — Retrieve paginated lists of recent events and fetch detailed metadata for specific notifications.
- Integration Oversight — Monitor all active third-party integrations connected to your Fomo account.
- Application Insights — Access metadata for your Fomo application to maintain full context of your marketing setup.
- Clean Feed Management — Update or delete events from your feed directly through the agent.
The Fomo MCP Server exposes 11 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.
How to Connect Fomo to LlamaIndex via MCP
Follow these steps to integrate the Fomo MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 11 tools from Fomo
Why Use LlamaIndex with the Fomo MCP Server
LlamaIndex provides unique advantages when paired with Fomo through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Fomo tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Fomo tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Fomo, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Fomo tools were called, what data was returned, and how it influenced the final answer
Fomo + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Fomo MCP Server delivers measurable value.
Hybrid search: combine Fomo real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Fomo 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 Fomo for fresh data
Analytical workflows: chain Fomo queries with LlamaIndex's data connectors to build multi-source analytical reports
Fomo MCP Tools for LlamaIndex (11)
These 11 tools become available when you connect Fomo to LlamaIndex via MCP:
create_event
Push a new event to feed
create_template
Create a new template
delete_event
Remove event from feed
get_application_info
Get account attributes
get_event
Get event details
get_template
Get template details
list_events
List recent social proof events
list_integrations
List active integrations
list_push_messages
List sent messages
list_templates
List notification templates
update_event
Modify an existing event
Example Prompts for Fomo in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Fomo immediately.
"List the last 5 social proof events in my Fomo application."
"Push a new sign-up event for 'Alex' from 'San Francisco' using template ID '123'."
"List all active notification templates in my account."
Troubleshooting Fomo MCP Server with LlamaIndex
Common issues when connecting Fomo to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpFomo + LlamaIndex FAQ
Common questions about integrating Fomo MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Fomo with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Fomo to LlamaIndex
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.