Can I add a new contact to a specific list from the agent?

Yes! Use the `add_contact` action with the List ID and contact details. Your agent will register the new subscriber in Benchmark Email instantly.

How do I see the latest results from my email campaigns?

Simply ask the agent to `list_reports`. You can then use `get_report_details` with a specific Report ID to see opens, clicks, and other engagement metrics.

Does the integration allow me to send a new email campaign?

Currently, the toolset focuses on management and auditing (listing campaigns, managing contacts, checking reports). Sending or scheduling active campaigns must be done through the Benchmark Email dashboard for safety.

Benchmark Email MCP Server for LlamaIndex 10 tools — connect in under 2 minutes

Name: Benchmark Email
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Benchmark Email as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Benchmark Email. "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Benchmark Email?"
    )
    print(response)

asyncio.run(main())

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About Benchmark Email MCP Server

Connect your Benchmark Email account to any AI agent and orchestrate your email marketing workflows through natural conversation.

LlamaIndex agents combine Benchmark Email tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

What you can do

Contact Management — List, add, and update contacts within your mailing lists.
List Oversight — Create and manage contact lists to organize your audience effectively.
Campaign Tracking — List and inspect all email campaigns to monitor your marketing efforts.
Performance Reporting — Retrieve detailed reports on opens, clicks, and overall engagement.
Template Discovery — Access and list your saved email templates for consistent branding.

The Benchmark Email MCP Server exposes 10 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Benchmark Email to LlamaIndex via MCP

Follow these steps to integrate the Benchmark Email MCP Server with LlamaIndex.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Benchmark Email

Why Use LlamaIndex with the Benchmark Email MCP Server

LlamaIndex provides unique advantages when paired with Benchmark Email through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Benchmark Email tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Benchmark Email tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Benchmark Email, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Benchmark Email tools were called, what data was returned, and how it influenced the final answer

Benchmark Email + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Benchmark Email MCP Server delivers measurable value.

Hybrid search: combine Benchmark Email real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Benchmark Email to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Benchmark Email for fresh data

Analytical workflows: chain Benchmark Email queries with LlamaIndex's data connectors to build multi-source analytical reports

Benchmark Email MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect Benchmark Email to LlamaIndex via MCP:

add_contact

Add a new contact to a list

create_contact_list

Create a new contact list

get_contact_list

Get specific contact list details

get_email_details

Get details of a specific email campaign

get_report_details

Get details of a specific campaign report

list_contact_lists

List all contact lists

list_contacts

List contacts in a specific contact list

list_emails

List all email campaigns

list_reports

List all campaign reports

list_templates

List all email templates

Example Prompts for Benchmark Email in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Benchmark Email immediately.

"List all my contact lists in Benchmark Email."

"Add john.doe@example.com to the 'Beta Users' list."

"Show me the report for my last campaign."

Troubleshooting Benchmark Email MCP Server with LlamaIndex

Common issues when connecting Benchmark Email to LlamaIndex through the Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Benchmark Email + LlamaIndex FAQ

Common questions about integrating Benchmark Email MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Benchmark Email tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.