Loops 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 Loops 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 Loops. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Loops?"
)
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 Loops MCP Server
Loops is a modern email marketing and transactional email platform designed for startups and growing businesses. It provides powerful automation for email journeys, audience segmentation, contact management, and detailed analytics. This MCP server enables AI agents to manage contacts, mailing lists, trigger events for automated journeys, send transactional emails, and check suppression statuses — all through natural language commands.
LlamaIndex agents combine Loops 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 capabilities:
- Search, create, update, and delete contacts
- Manage mailing lists
- Trigger email journeys with events
- Send transactional emails programmatically
- Check email suppression status
- View sent transactional email history
The Loops 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 Loops to LlamaIndex via MCP
Follow these steps to integrate the Loops 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 Loops
Why Use LlamaIndex with the Loops MCP Server
LlamaIndex provides unique advantages when paired with Loops through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Loops tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Loops tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Loops, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Loops tools were called, what data was returned, and how it influenced the final answer
Loops + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Loops MCP Server delivers measurable value.
Hybrid search: combine Loops real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Loops 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 Loops for fresh data
Analytical workflows: chain Loops queries with LlamaIndex's data connectors to build multi-source analytical reports
Loops MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Loops to LlamaIndex via MCP:
create_contact
Requires an email address. Optionally accepts firstName, lastName, and userGroup. Create a new contact in Loops
delete_contact
This action cannot be undone. Delete a contact from Loops by ID
find_contact
Returns the contact details if found. Find a contact in Loops by email address
get_contact_suppression
Suppressed emails will not receive emails. Returns the suppression status for the given email. Check if an email address is suppressed in Loops
list_mailing_lists
Use this to discover available lists for subscribing contacts. List all mailing lists in Loops
list_transactional_emails
Optionally accepts a limit parameter to control the number of results returned. List recently sent transactional emails from Loops
send_event
Requires an eventName. Optionally accepts email and/or userId to identify the recipient. Send an event to trigger email journeys in Loops
send_transactional_email
Requires the transactionalId. Optionally accepts email and dataVariables (as JSON string) for template variables. Send a transactional email via Loops
test_api_key
Returns success/failure status. Test if the Loops API key is valid and working
update_contact
Requires the contact ID. Accepts any fields to update such as firstName, lastName, email, userGroup, etc. Update an existing contact in Loops by ID
Example Prompts for Loops in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Loops immediately.
"Find the contact with email user@example.com in Loops"
"Create a new contact in Loops with email newuser@example.com, first name John, and last name Doe"
"List all mailing lists in my Loops account"
"Send a transactional email with template txn_123 to customer@example.com"
Troubleshooting Loops MCP Server with LlamaIndex
Common issues when connecting Loops to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpLoops + LlamaIndex FAQ
Common questions about integrating Loops 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 Loops 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 Loops to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.