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How to Use the Toky MCP in LlamaIndex

Index live Toky messaging data into your knowledge base with LlamaIndex.

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…and any MCP-compatible client

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LlamaIndex

Connect Toky MCP to LlamaIndex

Create your Vinkius account to connect Toky 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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Retrieve and index contact info via MCP Server

To find a specific person, call `get_contact` to pull the details. For bulk context, run `list_contacts`. These results become searchable knowledge that grounds your RAG application. You can even combine this with `create_contact`, ensuring that when you index data, you capture both old records and new additions.

List agents and calls for LlamaIndex

Use `list_agents` to pull a paginated list of every agent. Similarly, `list_calls` provides historical call log data. Indexing this raw API data prevents hallucinations. This ensures your knowledge base contains verifiable facts about communication history.

Send SMS messages through the MCP Server

The `send_sms` tool executes a real-world action, sending an actual text message via Toky. This output confirms success or failure, which is critical context to index. Your LlamaIndex application can then query: 'Did the SMS sent at 2 pm succeed?' and get a grounded answer.

Setup guide

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Toky. 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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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

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lower AI costs

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 Toky MCP in LlamaIndex

You use `get_contact` to pull specific data points. Since the output is indexed, you can later ask your agent questions about that exact record.
The `list_voicemails` tool lets you pull a list of all stored voicemails. You can index this list, so your agent knows exactly what messages were left.
Yes. You use `list_agents` to pull a paginated list of all available agents. This data is perfect for adding to your vector store as reference material.
You can use `list_calls` to get a paginated log of calls. Indexing these logs lets you search historical outcomes, not just pull the latest entry.
This server handles core communication records, including contact details, call logs, agent information, and SMS messages.

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