How to Use the Jiminny MCP in CrewAI

Deploy a team of autonomous sales agents to audit Jiminny calls using CrewAI.

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Connect Jiminny MCP to CrewAI

Create your Vinkius account to connect Jiminny 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 Jiminny with CrewAI

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Run multi-agent call audits with CrewAI

The `get_transcript` tool allows your specialized Auditor Agent to ingest call text and analyze sales conversations. Meanwhile, a Coach Agent uses `get_coaching_stats` to match the transcript analysis against the rep's historical performance. These agents share memory within the CrewAI framework, collaborating to build a personalized coaching plan. They use `list_activities` to keep track of which calls still need to be reviewed.

Coordinate action items across an MCP Server

This MCP Server exposes `get_action_items` so your Coordinator Agent can pull tasks directly from recent calls. A separate Escalation Agent then matches these tasks against `get_user` details to assign ownership. Because CrewAI supports hierarchical execution, a Manager Agent oversees this process to ensure no critical customer commitments are missed. The agents communicate autonomously to resolve assignments.

Track team metrics autonomously

The `get_call_stats` tool lets your Analyst Agent pull aggregate metrics across your entire sales organization. The agent collaborates with a Team Lead Agent, who uses `list_teams` and `list_users` to break down the performance by department. Together, they generate weekly performance summaries without human intervention. The crew uses `check_jiminny_status` to ensure the API is healthy before starting their analysis.

Setup guide

Set up Jiminny 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 Jiminny tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

CrewAI agents use shared memory to pass context. An auditor agent can fetch a call transcript using `get_transcript` and pass it to a coaching agent to evaluate the rep's performance.

Yes, you can use CrewAI's tool filtering to expose only specific tools like `get_action_items` to your task agent, while keeping admin tools like `list_teams` restricted to your manager agent.

You pass your Vinkius HTTP endpoint directly into the agent's configurations. CrewAI handles the MCP connection, allowing your agents to call tools like `list_activities` out of the box.

Yes, you can schedule a crew to run sequentially, starting with `get_call_stats` to gather metrics, and ending with `get_coaching_stats` to build individual rep reports.

Your coaching statistics, call transcripts, and team structures are safe. The Jiminny integration runs inside Vinkius's isolated sandbox, ensuring your sales intelligence remains private and secure.

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