How to Use the Instantly MCP in CrewAI
Deploy a CrewAI team using this Instantly MCP Server to manage, monitor, and optimize your cold email campaigns autonomously.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Instantly MCP to CrewAI
Create your Vinkius account to connect Instantly to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Let CrewAI agents manage your Instantly pipeline
Build a collaborative crew where one agent analyzes sender health while another manages lead lists. The analyst agent uses `get_account_stats` to monitor deliverability, while the operations agent coordinates campaign status. When performance drops, the analyst instructs the operations agent to execute `pause_campaign`. This team-based approach ensures your sending infrastructure is constantly monitored by specialized agents running this MCP Server.
Feed verified leads straight into active sequences
Connect your lead generation agents directly to your outbound sequences. A researcher agent can find prospects, a writer agent can draft personalized variables, and a coordinator agent can use `add_leads` to push them live. The crew uses `list_subsequences` to place the leads in the exact step of the sequence that fits their profile. This removes the manual CSV export and import steps, automating your entire top-of-funnel workflow.
Let agents analyze and adjust campaign schedules
Give your crew the ability to optimize sending schedules based on real performance. A monitoring agent queries `get_campaign_analytics` to identify which sequences are underperforming. If open rates drop, the crew can decide to run `resume_campaign` on a fresh sequence with better-targeted copy. They use `list_campaigns` to inventory your options and shift resources to the highest-performing assets autonomously.
Set up Instantly MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically. - 3
Kick off your crew
Create a
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke Instantly tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Instantly Analyst",
goal="Access and analyze Instantly data via MCP.",
backstory="Expert analyst with direct Instantly access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Instantly transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters
server_params = SseServerParameters(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
with MCPServerAdapter(server_params) as mcp_tools:
agent = Agent(
role="Instantly Analyst",
goal="Access and analyze Instantly data via MCP.",
backstory="Expert analyst with direct Instantly access.",
tools=mcp_tools,
)
task = Task(
description="List recent Instantly transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Instantly. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Instantly MCP in CrewAI
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Instantly MCP today
We host it, we monitor it, we maintain it. You just paste one token.