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How to Use the Contractor+ MCP in LlamaIndex

Index your Contractor+ data into LlamaIndex to query your business history with semantic search.

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Works with every AI agent you already use

…and any MCP-compatible client

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LlamaIndex

Connect Contractor+ MCP to LlamaIndex

Create your Vinkius account to connect Contractor+ 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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Search Contractor+ records via LlamaIndex

Pipe the results of `list_properties` into your vector store. You query your own business data instead of guessing what's in the system. LlamaIndex indexes these outputs so your answers stay grounded. You avoid the guesswork that comes with standard text generation.

Analyze Contractor+ estimates in LlamaIndex

Use `list_estimates` to populate your knowledge base with past project data. The agent finds patterns in your historical pricing by searching the index. It makes your agent smarter about your actual business operations. You stop dealing with hallucinations and start using real figures.

Manage work orders with LlamaIndex

Keep your agent informed by indexing `list_work_orders`. It lets you ask questions about current field status while the server handles the data fetching. This creates a queryable snapshot of your field operations. Your agent provides answers based on the current state of your business.

Setup guide

Set up Contractor+ 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 Contractor+ 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 Contractor+ tools.",
)
response = await agent.run("List recent Contractor+ data")

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

Why Choose Vinkius

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Built-in savings

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Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

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place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Contractor+ MCP in LlamaIndex

Use the MCP tool spec to fetch data and pass it to your indexer. It turns raw API outputs into searchable vector embeddings.
You can restrict which tools are available to the agent. This keeps your search index focused on the data you actually need to query.
Once you index the `list_invoices` output, you can ask questions about your billing history. The agent pulls the data from your vector store.
The server remains ephemeral while your index stores the persistent knowledge. You refresh the index whenever you need updated business data.
Your property details are only fetched when you trigger a query. The data is stored in your private vector index and never shared.

Start using the Contractor+ MCP today

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Built & Managed by Vinkius 30s setup 12 tools

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