How to Use the Mailshake MCP in CrewAI
Deploy specialized AI crews to research leads, draft emails, and manage Mailshake outreach campaigns autonomously.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Mailshake MCP to CrewAI
Create your Vinkius account to connect Mailshake 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.
Run multi-agent sales operations with CrewAI
Stop forcing a single agent to handle your entire sales cycle. With CrewAI, you can connect your team to our MCP Server and assign a Researcher agent to find leads, while a Manager agent uses `add_prospects` to enroll them into active Mailshake campaigns. A separate analyst agent can monitor campaign performance using `list_campaigns` and `get_campaign_details`. This team-based approach ensures that lead generation and campaign management run as distinct, highly specialized processes.
Autonomous lead triaging and status updates
Set up a dedicated triaging crew that watches your inbox and updates lead stages automatically. One agent reads incoming replies, while another uses `update_lead_status` to mark prospects as won, lost, or ignored based on sentiment. If a prospect requests to opt out, the agent instantly calls `pause_prospect` to stop all future automated follow-ups. This keeps your sender reputation clean without requiring a human to manually flag every reply.
Coordinate team-wide outreach using this MCP Server
Let your CrewAI team manage sales operations across your entire organization. An administrative agent can call `get_team_details` and `get_user_profile` to understand which reps have active capacity before assigning new prospects. The crew can then distribute leads across active campaigns using `list_sales_leads` to balance the workload. This ensures your sales team's output remains steady and avoids overloading any single sender's inbox.
Set up Mailshake 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 Mailshake tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Mailshake Analyst",
goal="Access and analyze Mailshake data via MCP.",
backstory="Expert analyst with direct Mailshake access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Mailshake 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="Mailshake Analyst",
goal="Access and analyze Mailshake data via MCP.",
backstory="Expert analyst with direct Mailshake access.",
tools=mcp_tools,
)
task = Task(
description="List recent Mailshake 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 Mailshake. 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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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.
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One
place for every integration
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Common questions about Mailshake MCP in CrewAI
Use it with your favorite AI tools
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