How to Use the Acelle Mail MCP in LlamaIndex

Q: Is Acelle Mail compatible with LlamaIndex filters?

It supports allowedtools filters. You restrict which actions the agent can take, keeping control over your email lists and subscriber database.

Index your Acelle Mail marketing data into LlamaIndex to create a queryable knowledge base of your email history.

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Connect Acelle Mail MCP to LlamaIndex

Create your Vinkius account to connect Acelle Mail 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 Acelle Mail with LlamaIndex

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Index Acelle Mail data in LlamaIndex

Feed the output of `list_acelle_campaigns` directly into your vector store to make your historical email performance searchable. Your agent now answers questions about past engagement by querying the index, not by guessing. Use `get_acelle_list` to pull subscriber counts and names, then ground your agent's knowledge in those hard numbers. This eliminates hallucinations because the AI talks to the specific data residing in your Acelle Mail instance.

Query subscriber lists via LlamaIndex

Run `list_acelle_subscribers` and pipe the results into your RAG pipeline. This gives your agent the ability to reason about your active mailing lists as part of your broader document corpus. When you ask about subscriber trends, the agent performs a semantic search over the ingested API data. It retrieves the latest figures to provide an accurate, grounded answer.

Ground your MCP Server responses

Combine the `get_acelle_campaign` tool with your existing documents to build a unified context. Your LlamaIndex agents reference both your marketing guidelines and live campaign results at the same time. This makes the agent aware of how your current email strategy performs in the wild. It uses the tool output to refine its understanding of what content resonates with your specific audience segments.

Setup guide

Set up Acelle Mail 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 Acelle Mail 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 Acelle Mail tools.",
)
response = await agent.run("List recent Acelle Mail 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 Acelle Mail. 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 Acelle Mail MCP in LlamaIndex

You initialize the McpToolSpec with your server URL, then pass the tools to your FunctionAgent. The agent then calls these tools to populate your vector index.

Yes. Once you index the tool output, your agent treats campaign details as searchable knowledge, allowing for natural language queries about past performance.

It supports allowed_tools filters. You restrict which actions the agent can take, keeping control over your email lists and subscriber database.

Your marketing data is indexed locally within your chosen vector store. The server facilitates the connection without caching sensitive subscriber lists on external systems.

It accesses subscriber names, email addresses, and campaign performance metrics. These values are encrypted in transit and only accessed when your agent triggers a specific tool.

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