How to Use the 2Chat MCP in LlamaIndex

Q: How do I filter 2Chat tools in LlamaIndex?

Pass an allowedtools list to your agent configuration. This restricts the MCP server to only the functions you specify.

Index your WhatsApp conversations into LlamaIndex for grounded search.

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Connect 2Chat MCP to LlamaIndex

Create your Vinkius account to connect 2Chat 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 2Chat with LlamaIndex

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Claude

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Index 2Chat data with LlamaIndex

Turn your message history into a searchable knowledge base. The tool output feeds directly into your vector store. Use `list_groups` to fetch metadata and index it for semantic search. You get answers grounded in your actual API data.

Automate WhatsApp workflows in LlamaIndex

Call `send_message` from your RAG application to act on retrieved knowledge. The agent sends updates based on indexed context. Connect `create_group` to your logic to build chat rooms based on search results. It turns static data into active communication.

Validate numbers inside LlamaIndex

Run `check_number` to verify recipients before your index triggers an action. It prevents errors in your automated messaging workflows. Use `list_numbers` to define sender availability. The agent queries this data to ensure the right account initiates the outbound message.

Setup guide

Set up 2Chat 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 2Chat 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 2Chat tools.",
)
response = await agent.run("List recent 2Chat data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by 2Chat. 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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Common questions about 2Chat MCP in LlamaIndex

Install the llama-index-tools-mcp package. Use the BasicMCPClient to connect, then convert the tools into a list for your FunctionAgent.

Yes. By indexing the tool outputs, you create a searchable history. You can ask your agent about specific groups or message logs.

We use encrypted endpoints for all traffic. Your WhatsApp phone numbers and group IDs remain isolated within your local index.

It does. You combine live API results with your internal documents to provide context-aware responses to your agent.

Pass an allowed_tools list to your agent configuration. This restricts the MCP server to only the functions you specify.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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