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How to Use the Inbox (useinbox.com) MCP in LlamaIndex

Index UseINBOX contact data and campaign reports directly into your LlamaIndex vector stores for semantic search.

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Connect Inbox (useinbox.com) MCP to LlamaIndex

Create your Vinkius account to connect Inbox (useinbox.com) 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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Semantic search over UseINBOX campaigns in LlamaIndex

Stop guessing how your past emails performed. This setup indexes your historical campaign data from `list_campaigns` and `get_campaign_report` directly into your LlamaIndex vector database, making your actual performance metrics searchable. When you query your LlamaIndex RAG application, it retrieves real performance statistics instead of generating hallucinations. Your agent grounds its answers in actual campaign numbers.

Knowledge-augmented list management with this MCP Server

This toolset lets your LlamaIndex agent index contact metadata retrieved via `list_contact_lists` and `list_contacts`. You can configure the `BasicMCPClient` to only expose specific tools using the allowed tools filter. This ensures your LlamaIndex indexer only accesses the contact directories you want to analyze.

RAG-driven newsletter template analysis

Your LlamaIndex pipeline can pull active newsletters and layouts via `list_newsletters` and `list_templates`. By converting these API outputs into searchable documents, your LlamaIndex agent references actual sender configurations from `list_senders` to ensure your setup matches past deliverability patterns.

Setup guide

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Inbox (useinbox.com). 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 Inbox (useinbox.com) MCP in LlamaIndex

Run `pip install llama-index-tools-mcp` to get the required library. Initialize the `BasicMCPClient` with your Vinkius URL, wrap it in `McpToolSpec`, and pass the async tool list to your `FunctionAgent`.
Yes, your agent can call `list_automations` to inspect active marketing sequences. LlamaIndex can then index these automation steps to help you map out your customer journeys semantically.
It uses RAG to ground responses in actual API payloads from `get_account` and `get_campaign_report`. The agent retrieves the exact JSON metrics before answering, ensuring high factual accuracy.
Yes, you can use the allowed tools filter when setting up your `McpToolSpec`. This lets you restrict your agent to read-only tools like `list_templates` while hiding others.
This MCP Server executes inside an ephemeral, zero-trust V8 sandbox. Your subscriber details fetched via `list_contacts` are processed in memory and never stored, keeping your email lists completely private.

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