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.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up Follow Up Boss MCP in LlamaIndex
Prerequisites
- Python 3.10+ installed
-
llama-index-tools-mcppackage - 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 providesBasicMCPClientandMcpToolSpec. - 2
Connect with BasicMCPClient
Point
BasicMCPClientto 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 Follow Up Boss MCP tools into nativeFunctionToolobjects that any LlamaIndex agent can use. - 4
Run with any LLM
Create a
FunctionAgentwith the tools and your preferred LLM. SwapOpenAIforAnthropic,Gemini, or any LlamaIndex-supported provider.
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
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