Can I add a new contact to a specific brand using the agent?

Yes! Use the `add_contact` action with the Brand ID and contact details. Your agent will register or update the subscriber in BigMailer instantly.

How do I list all the email lists for a particular brand?

Simply ask the agent to `list_contact_lists` and provide the Brand ID. It will retrieve all the mailing lists associated with that brand.

Does the integration allow me to see the statistics of my bulk campaigns?

Yes. Use the `get_bulk_campaign` tool with the Brand ID and Campaign ID to retrieve performance data and metadata for your marketing efforts.

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

Name: BigMailer
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 BigMailer 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 BigMailer. "
            "You have 10 tools available."
        ),
    )

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

asyncio.run(main())

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About BigMailer MCP Server

Connect your BigMailer account to any AI agent and orchestrate your email marketing workflows across multiple brands through natural conversation.

LlamaIndex agents combine BigMailer 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

Brand Management — List and retrieve details for all brands managed within your BigMailer account.
Contact & List Oversight — Manage your mailing lists and add or update contacts instantly.
Bulk Campaign Tracking — List and inspect all bulk email campaigns to monitor your marketing reach.
Template Discovery — Access and list your saved email templates for consistent brand messaging.
Property Management — Retrieve custom brand properties and merge tags for personalized campaigns.
Performance Auditing — Get detailed status updates for your outgoing marketing efforts.

The BigMailer 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 BigMailer to LlamaIndex via MCP

Follow these steps to integrate the BigMailer 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 BigMailer

Why Use LlamaIndex with the BigMailer MCP Server

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

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

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

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

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

BigMailer + LlamaIndex Use Cases

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

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

Data enrichment: query BigMailer 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 BigMailer for fresh data

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

BigMailer MCP Tools for LlamaIndex (10)

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

add_contact

Add or update a contact in a brand

get_brand

Get specific brand details

get_brand_properties

List custom properties for a brand

get_bulk_campaign

Get specific bulk campaign details

get_contact_list

Get specific contact list details

list_brands

List all brands in the account

list_bulk_campaigns

List bulk campaigns for a brand

list_contact_lists

List contact lists for a brand

list_contacts

List contacts for a brand

list_templates

List email templates for a brand

Example Prompts for BigMailer in LlamaIndex

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

"List all brands in my BigMailer account."

"Add a new contact to brand b_123: alice@example.com, Alice Smith."

"Show my recent bulk campaigns for brand b_456."

Troubleshooting BigMailer MCP Server with LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

BigMailer + LlamaIndex FAQ

Common questions about integrating BigMailer 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 BigMailer tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.