Fomo MCP Server for LangChain 11 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Fomo through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"fomo": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Fomo, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with Fomo through native MCP adapters. Connect 11 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the Fomo MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 11 tools from Fomo via MCP
Why Use LangChain with the Fomo MCP Server
LangChain provides unique advantages when paired with Fomo through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Fomo MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Fomo queries for multi-turn workflows
Fomo + LangChain Use Cases
Practical scenarios where LangChain combined with the Fomo MCP Server delivers measurable value.
RAG with live data: combine Fomo tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Fomo, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Fomo tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Fomo tool call, measure latency, and optimize your agent's performance
Fomo MCP Tools for LangChain (11)
These 11 tools become available when you connect Fomo to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Fomo to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersFomo + LangChain FAQ
Common questions about integrating Fomo MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.