Instantly 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 Instantly 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 MCP SERVER
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 Instantly. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Instantly?"
)
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 Instantly MCP Server
Connect Instantly to your AI agent and manage your high-volume cold email platform conversationally.
LlamaIndex agents combine Instantly 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.
What you can do
- Campaign Management — Create, pause, resume, and monitor email campaigns with engagement metrics.
- Lead Management — Add, update, and search leads across campaigns with custom variables.
- Account Warm-up — Monitor email warm-up progress and deliverability scores across sending accounts.
- Analytics — Track opens, replies, bounces, and campaign-level performance in real time.
The Instantly 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 Instantly to LlamaIndex via MCP
Follow these steps to integrate the Instantly 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 Instantly
Why Use LlamaIndex with the Instantly MCP Server
LlamaIndex provides unique advantages when paired with Instantly through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Instantly tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Instantly tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Instantly, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Instantly tools were called, what data was returned, and how it influenced the final answer
Instantly + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Instantly MCP Server delivers measurable value.
Hybrid search: combine Instantly real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Instantly 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 Instantly for fresh data
Analytical workflows: chain Instantly queries with LlamaIndex's data connectors to build multi-source analytical reports
Instantly MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Instantly to LlamaIndex via MCP:
add_leads
Add leads to a campaign
get_account_stats
Get account summary stats
get_campaign
Get campaign details
get_campaign_analytics
Get campaign analytics
list_accounts
List sending accounts
list_campaigns
List all campaigns
list_leads
List leads in a campaign
list_subsequences
List campaign subsequences
pause_campaign
Pause a campaign
resume_campaign
Resume a campaign
Example Prompts for Instantly in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Instantly immediately.
"What's the open rate on my 'SaaS Founders Q2' campaign?"
"Check warm-up status on all my sending accounts."
"Add 50 leads to the 'Enterprise Outreach' campaign."
Troubleshooting Instantly MCP Server with LlamaIndex
Common issues when connecting Instantly to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpInstantly + LlamaIndex FAQ
Common questions about integrating Instantly 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 Instantly 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 Instantly to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
