How to Use the Kylas MCP in CrewAI

Q: Can I filter which Kylas tools my CrewAI crew sees?

Yes, use the toolfilter option to restrict agent access. This keeps your agents focused on only the operations they need to perform.

Deploy a specialized sales crew with CrewAI using this Kylas MCP Server.

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Connect Kylas MCP to CrewAI

Create your Vinkius account to connect Kylas 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.

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Setup Kylas with CrewAI

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Perplexity

Role-based lead handling

Assign a dedicated agent to monitor `list_leads` for new opportunities. Another agent can then use `create_contact` to save the information. This specialization keeps your sales operation efficient. Each agent handles a distinct part of the CRM workflow without human oversight.

Collaborative pipeline analysis

Your crew can query `list_deals` to identify stalled opportunities. One agent analyzes the data, while another flags it for the sales team. This shared memory model allows your agents to act on CRM data collectively. They work as a unit to keep your pipeline clean.

Automated task execution

Run a crew that pulls tasks using `list_tasks` and executes follow-up actions. It keeps your Indian SMB sales team on track 24/7. This MCP Server acts as the toolset for your crew. You define the agents and they handle the CRM heavy lifting.

Setup guide

Set up Kylas MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. 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 Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Kylas tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Kylas Analyst",
    goal="Access and analyze Kylas data via MCP.",
    backstory="Expert analyst with direct Kylas access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Kylas transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

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="Kylas Analyst",
        goal="Access and analyze Kylas data via MCP.",
        backstory="Expert analyst with direct Kylas access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Kylas transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Kylas. 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 Kylas MCP in CrewAI

Pass the server URL directly into your agent definition. This gives your crew immediate access to all seven CRM tools.

Yes, use the tool_filter option to restrict agent access. This keeps your agents focused on only the operations they need to perform.

The server manages concurrent requests from your crew. Each agent operates within its assigned role to ensure consistent data handling.

It functions perfectly in hierarchical setups. You can have a manager agent coordinate the results from lower-level CRM agents.

All interactions with the CRM are encrypted in transit. Access to sensitive lead records is restricted to the agents you explicitly authorize.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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