How to Use the Toket MCP in LlamaIndex

Q: How does Toket help with knowledge augmentation in LlamaIndex?

LlamaIndex turns the output of tools like createcollection into searchable chunks. Instead of just getting a list, you get an index that answers complex questions about your NFT operations.

Q: Can I query multiple types of data with Toket using LlamaIndex?

Yes. You can mix data from listcollections (names and symbols) with getmintstatus (transaction details). The index unifies them, so you don't have to remember which tool provided the info.

Q: What if I need status updates on minting transactions in LlamaIndex?

The getmintstatus tool provides that data. By indexing it, your RAG application remembers the status and can retrieve it later when you ask a follow-up question about that specific transaction.

Q: What is the setup process for using Toket with LlamaIndex?

You use BasicMCPClient to connect, then wrap the tools with McpToolSpec. This allows you to pass the specialized NFT actions directly into your FunctionAgent.

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Connect Toket MCP to LlamaIndex

Create your Vinkius account to connect Toket 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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Setup Toket with LlamaIndex

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Search Collection Details

Use the `get_collection` tool to fetch specific details about a collection. When you run this, LlamaIndex indexes those results into your vector store. You can then ask questions like, 'What are the specs of the Alpha series?' and get an answer grounded in that live data.

Query Minting History

The `list_mints` tool gathers all minted NFTs. By indexing this output, your LlamaIndex application lets you query past sessions or configurations, answering 'When was the last time we listed more than 50 items?' without needing to re-run the query.

Analyze Gas Status Trends

You can use `get_gas_tank_status` and index the results. This means you don't just get a number; your RAG system remembers previous balances, allowing you to ask for trend analysis or compare current capacity against historical records.

Setup guide

Set up Toket MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
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 provides BasicMCPClient and McpToolSpec.
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

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Toket MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
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 Toket tools.",
)
response = await agent.run("List recent Toket data")

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Common questions about Toket MCP in LlamaIndex

LlamaIndex turns the output of tools like `create_collection` into searchable chunks. Instead of just getting a list, you get an index that answers complex questions about your NFT operations.

Yes. You can mix data from `list_collections` (names and symbols) with `get_mint_status` (transaction details). The index unifies them, so you don't have to remember which tool provided the info.

The `get_mint_status` tool provides that data. By indexing it, your RAG application remembers the status and can retrieve it later when you ask a follow-up question about that specific transaction.

You use `BasicMCPClient` to connect, then wrap the tools with `McpToolSpec`. This allows you to pass the specialized NFT actions directly into your FunctionAgent.

This MCP Server touches Collection Metadata and Mint Status. The index will hold transaction identifiers, collection names, and asset details that you'll want to keep secure.

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