How to Use the Towio MCP in LlamaIndex
Query past tow operations with LlamaIndex's knowledge-grounded search.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Towio MCP to LlamaIndex
Create your Vinkius account to connect Towio 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.
MCP Server for Towio Knowledge Indexing
When you run `list_delivery_documents`, the output becomes part of your searchable index. You can later query this index to recall specific manifest details from past roadside assistance jobs.
Retrieving Employee Data with LlamaIndex
The `list_employees` tool feeds data into your knowledge base. Instead of just listing employees, you can ask complex questions like 'Who managed the dispatch on Project X?' and get a grounded answer.
Analyzing Towio Tasks with LlamaIndex
You use `list_tasks` to retrieve current action items. Indexing this data lets you build RAG applications that surface historical context—for example, 'What were the common tasks for a failed dispatch in Q3?'
Set up Towio 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 Towio 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 Towio tools.",
)
response = await agent.run("List recent Towio data") Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Towio. 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 Towio MCP in LlamaIndex
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