How to Use the Nylas MCP in CrewAI
Deploy specialized agent teams to manage your emails and calendar events autonomously using CrewAI and the Nylas MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Nylas MCP to CrewAI
Create your Vinkius account to connect Nylas 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 Nylas inbox triage pipelines in CrewAI
The `list_messages` tool serves as the primary data source for your CrewAI triage agents. A dedicated researcher agent pulls the unified Nylas inbox stream, while a separate coordinator agent analyzes the content to prioritize urgent threads. By passing this MCP tool to your crew, agents collaborate using shared memory to track which emails have been processed. They can then hand off draft responses to a writer agent who executes `send_message` autonomously via Nylas.
Manage autonomous calendar scheduling crews in CrewAI
The `list_calendars` tool allows a CrewAI scheduling agent to locate active calendar UUIDs across different providers. Once found, the agent coordinates with a calendar auditor to run `list_events` and identify open meeting slots. The final step uses `create_event` to book the meeting, resolving conflicts without human intervention. CrewAI's sequential execution model ensures each step validates against the shared Nylas calendar state before committing.
Let specialized CrewAI agents manage your address book
The `list_contacts` tool enables a CrewAI contact manager agent to audit your address book for duplicates. The agent works alongside a directory assistant that uses `create_contact` to update stale listings. Because CrewAI supports selective MCP tool exposure via `tool_filter`, you can restrict your contact agents to read-only tools while giving write access only to your moderator agent. This keeps your Nylas directory clean and secure.
Set up Nylas 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 Nylas tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Nylas Analyst",
goal="Access and analyze Nylas data via MCP.",
backstory="Expert analyst with direct Nylas access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Nylas 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="Nylas Analyst",
goal="Access and analyze Nylas data via MCP.",
backstory="Expert analyst with direct Nylas access.",
tools=mcp_tools,
)
task = Task(
description="List recent Nylas 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 Nylas. 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.
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Common questions about Nylas MCP in CrewAI
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