How to Use the Apollo.io MCP in CrewAI
Deploy autonomous sales crews with CrewAI that use Apollo.io to find, enrich, and qualify leads 24/7.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Apollo.io MCP to CrewAI
Create your Vinkius account to connect Apollo.io 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.
Assemble a Prospecting Crew
Create a "Researcher" agent and give it the `search_people` and `search_companies` tools. Its only job is to generate lists of potential leads based on the criteria you set. Next, create an "Analyst" agent. It takes the Researcher's output and uses `enrich_person_data` to find verified emails and direct dials. The agents pass data between each other through shared memory, working together in a sequence.
Automate Lead Qualification & Outreach
The final member of your crew is the "Outreach Coordinator" agent, equipped with the `add_to_sequence` tool. This agent takes the verified list from the Analyst. It then applies its own logic—like checking against an internal do-not-contact list—before using `add_to_sequence` to enroll qualified prospects in the right Apollo.io campaign. The entire process runs without you lifting a finger.
Build a CrewAI Monitoring System
This isn't just about outreach. You can build a "Finance Monitor" agent whose only job is to use the `get_credit_info` tool. It runs every hour and checks your Apollo.io credit balance. Pair it with a "System Health" agent that uses `get_api_health`. If either agent detects a problem—low credits or an API outage—it can trigger another agent to send an alert. This is how you build a self-monitoring sales operation with this MCP Server.
Set up Apollo.io 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 Apollo.io tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Apollo.io Analyst",
goal="Access and analyze Apollo.io data via MCP.",
backstory="Expert analyst with direct Apollo.io access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Apollo.io 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="Apollo.io Analyst",
goal="Access and analyze Apollo.io data via MCP.",
backstory="Expert analyst with direct Apollo.io access.",
tools=mcp_tools,
)
task = Task(
description="List recent Apollo.io 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 Apollo.io. 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
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Live
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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
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60%
lower AI costs
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place for every integration
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Common questions about Apollo.io MCP in CrewAI
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