How to Use the Chili Piper MCP in CrewAI

Q: How do I filter Chili Piper tools in CrewAI?

Use the toolfilter option in your server setup to specify which tools each agent can access. This keeps your agents focused on their specific roles.

Deploy a crew of agents to manage your sales pipeline using the Chili Piper MCP Server.

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Connect Chili Piper MCP to CrewAI

Create your Vinkius account to connect Chili Piper 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 Chili Piper with CrewAI

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Coordinate scheduling via CrewAI

Give your research agent access to `get_meeting_details` to summarize upcoming appointments for the rest of the crew. It provides the context needed for your moderator agent to take action. This collaborative approach prevents communication gaps between agents. Each member of your crew knows exactly what the other has found in the account.

Monitor queues using CrewAI agents

Assign a dedicated monitor agent to loop through `list_chili_queues` at set intervals. If a queue hits a threshold, the agent alerts your lead response specialist. It creates a self-managing sales operation that doesn't need your input to function. You set the strategy, and the agents handle the execution.

Automate team updates with this MCP Server

Use `list_chili_teams` to keep your agent's knowledge base current. Your crew can then route tasks based on the latest team structure without human intervention. It makes your autonomous crew more resilient. When someone joins or leaves the team, the agents see the change in the next tool execution.

Setup guide

Set up Chili Piper 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 Chili Piper tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Chili Piper 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="Chili Piper Analyst",
        goal="Access and analyze Chili Piper data via MCP.",
        backstory="Expert analyst with direct Chili Piper access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Chili Piper 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 Chili Piper. 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 Chili Piper MCP in CrewAI

Pass the server URL to the mcps parameter in your agent configuration. The agents will automatically discover and use the available tools.

Yes. By using shared memory, one agent can fetch data with a tool and pass the result to another agent for analysis.

Use the tool_filter option in your server setup to specify which tools each agent can access. This keeps your agents focused on their specific roles.

It uses standard HTTP or SSE transports. The connection is established when the agent starts a task and closes once the crew finishes its work.

We isolate your agent environment using a sandbox. No external parties can access the meeting details or queue data handled by your crew.

Use it with your favorite AI tools

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

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