Freshmarketer MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Freshmarketer as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
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 Freshmarketer. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Freshmarketer?"
)
print(response)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Freshmarketer MCP Server
Connect your Freshmarketer account (part of the Freshsales Suite) to any AI agent to automate your marketing operations through the Model Context Protocol (MCP). Freshmarketer helps you engage your audience with personalized email campaigns and automated journeys. This MCP server enables you to manage your contact database, organize mailing lists, and trigger transactional emails directly through natural conversation.
LlamaIndex agents combine Freshmarketer 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.
Key Features
- Contact Management — List all marketing contacts, retrieve detailed profiles, and create or update contacts instantly.
- Audience Segmentation — Access and list your configured mailing lists to understand how your audience is segmented.
- Transactional Emails — Trigger specific transactional campaigns to individual contacts directly from the chat interface.
- Journey Insights — Monitor your active and paused marketing automation journeys.
- Event Tracking — Post custom events to a contact's timeline to programmatically trigger specific automation flows.
- Real-time Data Sync — Keep your marketing data synchronized with your CRM seamlessly.
The Freshmarketer 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 Freshmarketer to LlamaIndex via MCP
Follow these steps to integrate the Freshmarketer 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 Freshmarketer
Why Use LlamaIndex with the Freshmarketer MCP Server
LlamaIndex provides unique advantages when paired with Freshmarketer through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Freshmarketer tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Freshmarketer tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Freshmarketer, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Freshmarketer tools were called, what data was returned, and how it influenced the final answer
Freshmarketer + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Freshmarketer MCP Server delivers measurable value.
Hybrid search: combine Freshmarketer real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Freshmarketer 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 Freshmarketer for fresh data
Analytical workflows: chain Freshmarketer queries with LlamaIndex's data connectors to build multi-source analytical reports
Freshmarketer MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Freshmarketer to LlamaIndex via MCP:
check_account_status
Verify API status
create_mailing_list
Create new mailing list
get_contact_details
Get contact metadata
list_contacts
List marketing contacts
list_custom_events
List configured events
list_journeys
List marketing journeys
list_mailing_lists
List mailing lists
post_custom_event
Trigger custom event
send_transactional_email
Trigger an email
upsert_contact
Create or update contact
Example Prompts for Freshmarketer in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Freshmarketer immediately.
"List my 5 most recent marketing contacts."
"Show me all active mailing lists in my account."
"Trigger the 'Welcome Email' (Campaign ID: 123) for 'newuser@example.com'."
Troubleshooting Freshmarketer MCP Server with LlamaIndex
Common issues when connecting Freshmarketer to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpFreshmarketer + LlamaIndex FAQ
Common questions about integrating Freshmarketer MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Freshmarketer with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Freshmarketer to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.