Brokermint MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Brokermint as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
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 Brokermint. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Brokermint?"
)
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 Brokermint MCP Server
Connect your Brokermint account to any AI agent and orchestrate your real estate back-office, transaction management, and commission tracking through natural conversation.
LlamaIndex agents combine Brokermint tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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.
What you can do
- Transaction Oversight — List all real estate deals, retrieve detailed metadata, and update statuses directly from your workspace.
- Contact Management — List and create contacts for buyers, sellers, and other participants in your transactions.
- Commission Tracking — Retrieve detailed commission structures and payouts associated with specific deals.
- Team Coordination — Access your directory of agents and users managed within the platform.
- Account Insights — Retrieve core account and site information straight from your workspace.
The Brokermint MCP Server exposes 10 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 Brokermint to LlamaIndex via MCP
Follow these steps to integrate the Brokermint 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 10 tools from Brokermint
Why Use LlamaIndex with the Brokermint MCP Server
LlamaIndex provides unique advantages when paired with Brokermint through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Brokermint tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Brokermint tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Brokermint, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Brokermint tools were called, what data was returned, and how it influenced the final answer
Brokermint + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Brokermint MCP Server delivers measurable value.
Hybrid search: combine Brokermint real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Brokermint 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 Brokermint for fresh data
Analytical workflows: chain Brokermint queries with LlamaIndex's data connectors to build multi-source analytical reports
Brokermint MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Brokermint to LlamaIndex via MCP:
create_contact
Create a new contact
create_transaction
Create a new real estate transaction
get_account_info
Retrieve core account information
get_contact
Get details of a specific contact
get_transaction
Get details of a specific transaction
list_commissions
List commissions for a specific transaction
list_contacts
List all contacts (buyers, sellers, etc)
list_transactions
List all real estate transactions
list_users
List all users/agents in the account
update_transaction
Update an existing transaction
Example Prompts for Brokermint in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Brokermint immediately.
"List my last 5 real estate transactions in Brokermint."
"Show the commission structure for transaction tr_99283."
"Create a new contact named John Doe with email john@example.com."
Troubleshooting Brokermint MCP Server with LlamaIndex
Common issues when connecting Brokermint to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpBrokermint + LlamaIndex FAQ
Common questions about integrating Brokermint 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 Brokermint 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 Brokermint to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.