How to Use the Contractor+ MCP in LlamaIndex
Index your Contractor+ data into LlamaIndex to query your business history with semantic search.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up Contractor+ 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 Contractor+ 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 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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Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
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 it with your favorite AI tools
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Start using the Contractor+ MCP today
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