Follow Up Boss MCP Server for LangChain 12 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Follow Up Boss through the 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({
"follow-up-boss": {
"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 Follow Up Boss, 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 Follow Up Boss MCP Server
Connect your Follow Up Boss (FUB) account to any AI agent to automate your real estate lead management and sales pipelines through the Model Context Protocol (MCP). Follow Up Boss is the central hub for high-growth real estate teams to convert more leads into closings. This MCP server enables you to manage your contacts, track deals, and handle follow-up tasks directly through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Follow Up Boss through native MCP adapters. Connect 12 tools via the 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.
What you can do
- Lead Management — List all contacts, fetch detailed profile metadata, and create new leads or people instantly.
- Deal Tracking — Monitor sales opportunities and pipelines by listing and retrieving specific deal metadata.
- Task Oversight — Create and manage follow-up tasks and reminders to ensure no lead falls through the cracks.
- Engagement Insights — Retrieve notes attached to contacts and add new updates to lead timelines from your chat interface.
- Smart Filters — Access your 'Smart Lists' to quickly identify which leads require immediate attention.
- Activity Tracking — Monitor website activity events such as property views and registrations.
- Team Coordination — List all CRM users and agents to maintain full context of your team's assignments.
The Follow Up Boss MCP Server exposes 12 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 Follow Up Boss to LangChain via MCP
Follow these steps to integrate the Follow Up Boss 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 12 tools from Follow Up Boss via MCP
Why Use LangChain with the Follow Up Boss MCP Server
LangChain provides unique advantages when paired with Follow Up Boss through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents — combine Follow Up Boss 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 Follow Up Boss queries for multi-turn workflows
Follow Up Boss + LangChain Use Cases
Practical scenarios where LangChain combined with the Follow Up Boss MCP Server delivers measurable value.
RAG with live data: combine Follow Up Boss tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Follow Up Boss, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Follow Up Boss tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Follow Up Boss tool call, measure latency, and optimize your agent's performance
Follow Up Boss MCP Tools for LangChain (12)
These 12 tools become available when you connect Follow Up Boss to LangChain via MCP:
add_note
Add a note to a contact
create_person
Create a new contact
create_task
Add a new task
get_deal
Get deal details
get_person
Get contact details
list_crm_users
List team members
list_deals
List sales opportunities (deals)
list_events
List website activity events
list_people
List contacts (people)
list_person_notes
List notes for a contact
list_smart_lists
List smart filters (Smart Lists)
list_tasks
List follow-up tasks
Example Prompts for Follow Up Boss in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Follow Up Boss immediately.
"List the last 5 people added to my CRM."
"Create a task for John Smith (ID: 123) to 'Follow up on contract' for tomorrow."
"Add a note to Jane Doe (ID: 456): 'Interested in waterfront properties'."
Troubleshooting Follow Up Boss MCP Server with LangChain
Common issues when connecting Follow Up Boss to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersFollow Up Boss + LangChain FAQ
Common questions about integrating Follow Up Boss 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 Follow Up Boss 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 Follow Up Boss to LangChain
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.
