ActiveTrail MCP Server for LlamaIndex 5 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add ActiveTrail 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 ActiveTrail. "
"You have 5 tools available."
),
)
response = await agent.run(
"What tools are available in ActiveTrail?"
)
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 ActiveTrail MCP Server
Connect your ActiveTrail account to your AI agent to unlock professional email and SMS marketing capabilities. From creating detailed contact profiles to monitoring campaign performance and managing group segments, your agent handles your marketing ecosystem through natural conversation.
LlamaIndex agents combine ActiveTrail tool responses with indexed documents for comprehensive, grounded answers. Connect 5 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 — Create, update, and list contacts to maintain a healthy and engaged subscriber base
- Campaign Monitoring — List active and past email or SMS campaigns and retrieve real-time performance statistics
- Group Segmentation — Manage contact groups and segments to ensure your messages reach the right audience
- SMS Automation — Send and track SMS messages directly from your chat interface for immediate customer outreach
- Real-time Analytics — Quickly audit opens, clicks, and engagement patterns for your marketing efforts
The ActiveTrail MCP Server exposes 5 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 ActiveTrail to LlamaIndex via MCP
Follow these steps to integrate the ActiveTrail 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 5 tools from ActiveTrail
Why Use LlamaIndex with the ActiveTrail MCP Server
LlamaIndex provides unique advantages when paired with ActiveTrail through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine ActiveTrail tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain ActiveTrail tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query ActiveTrail, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what ActiveTrail tools were called, what data was returned, and how it influenced the final answer
ActiveTrail + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the ActiveTrail MCP Server delivers measurable value.
Hybrid search: combine ActiveTrail real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query ActiveTrail 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 ActiveTrail for fresh data
Analytical workflows: chain ActiveTrail queries with LlamaIndex's data connectors to build multi-source analytical reports
ActiveTrail MCP Tools for LlamaIndex (5)
These 5 tools become available when you connect ActiveTrail to LlamaIndex via MCP:
create_contact
Email is required. Add a new subscriber to the ActiveTrail system with email and personal details
list_campaigns
Retrieve a list of sent and draft email or SMS campaigns in ActiveTrail
list_contacts
Retrieve the full directory of subscribers from the ActiveTrail account
list_groups
Retrieve the list of segments and groups configured in the ActiveTrail account
send_sms
Requires the phone number and SMS body text. Send an immediate SMS text message notification via the ActiveTrail gateway
Example Prompts for ActiveTrail in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with ActiveTrail immediately.
"Show me the performance of my last email campaign."
Troubleshooting ActiveTrail MCP Server with LlamaIndex
Common issues when connecting ActiveTrail to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpActiveTrail + LlamaIndex FAQ
Common questions about integrating ActiveTrail 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 ActiveTrail 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 ActiveTrail to LlamaIndex
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.