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How to Use the Follow Up Boss MCP in LlamaIndex

Index your real estate pipeline with LlamaIndex and query your Follow Up Boss CRM using natural language.

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LlamaIndex

Connect Follow Up Boss MCP to LlamaIndex

Create your Vinkius account to connect Follow Up Boss 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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Index Follow Up Boss MCP Server data

LlamaIndex does not just execute API calls. It takes the output from `list_leads` and `get_lead_details` and embeds that data into a vector store. You can now run semantic queries across your entire database of buyers and sellers without writing SQL. When an agent asks about recent high-budget buyers, the system searches the indexed profiles instead of hallucinating. It grounds every answer in the actual contact records pulled from your CRM endpoints.

Build RAG applications over agent notes

Brokers leave thousands of touchpoints buried in the CRM. By connecting this tool, LlamaIndex pulls records using `list_person_notes` and `list_recent_events`. It builds a searchable knowledge base of every text, call, and website visit your team logged. A broker can ask for a summary of a specific client's hesitations over the last six months. The LlamaIndex query engine retrieves the exact notes, synthesizes the context, and gives you a factual breakdown of the relationship history.

Correlate tasks with closed transactions

The MCP protocol lets your application pull active transactions via `list_real_estate_deals` and cross-reference them with pending actions from `list_followup_tasks`. Your pipeline data is useless if you cannot query it easily. You feed these lists into your unified index. Now your internal RAG tool can answer complex questions about which pending tasks are blocking your highest-value deals from closing this month.

Setup guide

Set up Follow Up Boss MCP in LlamaIndex

Prerequisites

  • Python 3.10+ installed
  • llama-index-tools-mcp package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.

  2. 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. 3

    Convert to LlamaIndex tools

    Call mcp_tool_spec.to_tool_list_async() to convert all Follow Up Boss MCP tools into native FunctionTool objects that any LlamaIndex agent can use.

  4. 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 Follow Up Boss tools.",
)
response = await agent.run("List recent Follow Up Boss data")

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Follow Up Boss. 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.

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Common questions about Follow Up Boss MCP in LlamaIndex

Install the llama-index-tools-mcp package. Set up a BasicMCPClient, wrap it in an McpToolSpec, and call to_tool_list_async() to feed the endpoints to your FunctionAgent.
Yes. While it excels at reading data, your agent can still execute the `create_new_lead` tool. It just needs essential details like a name or email address.
Use the allowed_tools filter when setting up your tool spec. You can restrict the agent to only use `list_calendar_appointments` if you want to prevent it from modifying records.
Not automatically. You need to periodically run `list_recent_events` and re-index the outputs to keep your vector store current with the live database.
The MCP server operates inside a strict V8 Isolate Sandbox. When LlamaIndex retrieves buyer emails and phone numbers via `get_lead_details`, the transport layer is fully encrypted. Vinkius drops the instance the moment your query finishes.

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