How to Use the No2Bounce MCP in LlamaIndex

Q: Can LlamaIndex and No2Bounce help me query my bounce history?

Yes, by indexing the output of getvalidationstatus, you create a searchable record of past validations. You can ask your agent about specific list segments and get accurate answers.

Q: Can I filter which tools are available?

Yes, you can use the allowedtools filter in your McpToolSpec to restrict your agent to only the validation functions you need.

Index your email validation results into your LlamaIndex knowledge base for semantic search and better context.

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Connect No2Bounce MCP to LlamaIndex

Create your Vinkius account to connect No2Bounce 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 No2Bounce with LlamaIndex

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Validate bulk emails with LlamaIndex

Submit your email lists to the `validate_bulk` tool to start the cleanup process. The server returns a tracking ID, which your LlamaIndex agent can store as metadata for your current project. This keeps the validation logic separate from your main indexing workflow. You maintain a clean separation between the request and the eventual result retrieval.

Retrieve results for your knowledge base

Use `get_validation_status` to pull the final validation report once the server finishes the job. Since this is an MCP tool, LlamaIndex can ingest the output and add it to your searchable context. Now, your agent can answer questions about list quality based on actual historical validation data. It stops the agent from guessing which emails are safe to use.

Connect No2Bounce tools to your index

Register the MCP tools within your McpToolSpec to make them available to your agent. This setup allows your RAG application to call validation functions whenever it needs to verify a contact list. Everything happens through a secure connection. You get the power of live API data combined with the long-term memory of your vector store.

Setup guide

Set up No2Bounce 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 No2Bounce 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 No2Bounce tools.",
)
response = await agent.run("List recent No2Bounce data")

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Common questions about No2Bounce MCP in LlamaIndex

You use the MCP client to expose validation tools, which your agent then calls to populate your index with verified email data.

Yes, by indexing the output of `get_validation_status`, you create a searchable record of past validations. You can ask your agent about specific list segments and get accurate answers.

The server runs in a zero-trust sandbox. Your emails never linger in storage, and the data is only accessible via your specific, authenticated endpoint.

You get grounded, factual data from the No2Bounce API instead of relying on the agent's internal training. It ensures your knowledge base stays current.

Yes, you can use the allowed_tools filter in your McpToolSpec to restrict your agent to only the validation functions you need.

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