eSputnik MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Attach To Group, Create Contact, Detach From Group, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add eSputnik 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 eSputnik app connector for LlamaIndex is a standout in the Marketing category — giving your AI agent 12 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 eSputnik. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in eSputnik?"
)
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 eSputnik MCP Server
The eSputnik MCP server allows your AI agent to orchestrate marketing campaigns across Email, SMS, Web Push, and Mobile Push. Send messages, retrieve contact lists, and manage omnichannel workflows seamlessly.
LlamaIndex agents combine eSputnik tool responses with indexed documents for comprehensive, grounded answers. Connect 12 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.
The eSputnik MCP Server exposes 12 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 12 eSputnik tools available for LlamaIndex
When LlamaIndex connects to eSputnik through Vinkius, your AI agent gets direct access to every tool listed below — spanning esputnik, email, sms, 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.
Add contacts to a specific group
Create a new contact in eSputnik
Remove contacts from a group
Retrieve account and organization metadata
Retrieve details for a specific contact
Check the delivery status of a sent message
List all contacts in eSputnik
List all contact groups/segments
List unsubscribed email addresses
Search for contacts by email or phone
Trigger an omnichannel message send
Generate a system event to trigger workflows
Connect eSputnik to LlamaIndex via MCP
Follow these steps to wire eSputnik 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 eSputnik MCP Server
LlamaIndex provides unique advantages when paired with eSputnik through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine eSputnik tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain eSputnik tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query eSputnik, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what eSputnik tools were called, what data was returned, and how it influenced the final answer
eSputnik + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the eSputnik MCP Server delivers measurable value.
Hybrid search: combine eSputnik real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query eSputnik 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 eSputnik for fresh data
Analytical workflows: chain eSputnik queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for eSputnik in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with eSputnik immediately.
"List all my contact groups in eSputnik."
"Send an SMS saying 'Your order has shipped!' to +123456789."
"Add 'john@example.com' to the 'VIP Customers' list."
Troubleshooting eSputnik MCP Server with LlamaIndex
Common issues when connecting eSputnik to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpeSputnik + LlamaIndex FAQ
Common questions about integrating eSputnik MCP Server with LlamaIndex.