EasySendy MCP Server for LlamaIndexGive LlamaIndex instant access to 11 tools to Add Multiple Subscribers, Add Subscriber, Create List, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add EasySendy as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
Ask AI about this App Connector for LlamaIndex
The EasySendy app connector for LlamaIndex is a standout in the Productivity category — giving your AI agent 11 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 EasySendy. "
"You have 11 tools available."
),
)
response = await agent.run(
"What tools are available in EasySendy?"
)
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 EasySendy MCP Server
Connect your EasySendy account to any AI agent and take full control of your email marketing lists and subscriber engagement workflows through natural conversation.
LlamaIndex agents combine EasySendy tool responses with indexed documents for comprehensive, grounded answers. Connect 11 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
- Audience Orchestration — Create and manage email subscriber lists programmatically, including retrieving detailed metadata and custom tags
- Subscriber Lifecycle — Programmatically add, update, or remove subscribers from lists and manage detailed profiles directly from your agent
- Batch Intelligence — Perform large-scale subscriber imports and batch operations to streamline your high-volume marketing campaigns
- Engagement Control — Programmatically unsubscribe users or manage opt-in types (single/double) to ensure high-fidelity list hygiene and compliance
- Field Customization — Retrieve and manage custom contact fields and tags to maintain a structured and personalized communication ecosystem
The EasySendy MCP Server exposes 11 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.
All 11 EasySendy tools available for LlamaIndex
When LlamaIndex connects to EasySendy through Vinkius, your AI agent gets direct access to every tool listed below — spanning easysendy, email-marketing, subscribers-api, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Input should be an array of subscriber objects. Add multiple subscribers to a list
Requires the List UID and at least an EMAIL address. Add a single subscriber to a list
Create a new subscriber list
Delete a subscriber list
Delete a subscriber from a list
Get custom fields/tags for a list
Get details for a specific subscriber
List all subscriber lists
Unsubscribe a user from a list
Update an existing subscriber list
Update an existing subscriber
Connect EasySendy to LlamaIndex via MCP
Follow these steps to wire EasySendy into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the EasySendy MCP Server
LlamaIndex provides unique advantages when paired with EasySendy through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine EasySendy tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain EasySendy tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query EasySendy, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what EasySendy tools were called, what data was returned, and how it influenced the final answer
EasySendy + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the EasySendy MCP Server delivers measurable value.
Hybrid search: combine EasySendy real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query EasySendy 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 EasySendy for fresh data
Analytical workflows: chain EasySendy queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for EasySendy in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with EasySendy immediately.
"List all my email subscriber lists in EasySendy."
"Add subscriber 'john.doe@example.com' to list UID 'abc-123'."
"Find subscriber details for 'sarah@example.com' in list 'abc-123'."
Troubleshooting EasySendy MCP Server with LlamaIndex
Common issues when connecting EasySendy to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpEasySendy + LlamaIndex FAQ
Common questions about integrating EasySendy MCP Server with LlamaIndex.