How to Use the 15Five MCP in CrewAI

Q: How do I connect CrewAI to 15Five?

Install the tools package via pip install crewai "crewaitools". Then pass your Vinkius endpoint directly into the agent's configuration list.

Build autonomous HR crews that manage 15Five check-ins and OKRs with CrewAI.

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Connect 15Five MCP to CrewAI

Create your Vinkius account to connect 15Five 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 15Five with CrewAI

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Perplexity

Analyze check-ins with CrewAI agents

The `list_checkins` tool feeds raw employee sentiment into your researcher agent. This specific 15Five MCP Server tool pulls recent performance reports so your analyst agent can spot trends across the company. Setting this up requires almost zero code. You just drop the Vinkius URL into the `mcps` array on your agent definition and the crew figures out how to read the data.

Monitor objectives automatically

Giving your manager agent access to `list_objectives` lets it track progress on company-wide goals. It cross-references these targets with the output from `list_departments` to see which teams are lagging. You might not want every agent touching every endpoint. Using `MCPServerHTTP` with a `tool_filter` restricts your junior agents to read-only access while letting senior agents take action.

Send high fives from the MCP Server

Your actor agent triggers `send_high_five` when it detects an employee hitting a major milestone. It formulates a custom message based on the recent check-in data and fires it off to the specific email address. The crew handles the sequence autonomously. One agent finds the identifier via `list_users`, another writes the copy, and the final agent executes the API call.

Setup guide

Set up 15Five 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 15Five tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="15Five Analyst",
    goal="Access and analyze 15Five data via MCP.",
    backstory="Expert analyst with direct 15Five access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent 15Five 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="15Five Analyst",
        goal="Access and analyze 15Five data via MCP.",
        backstory="Expert analyst with direct 15Five access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent 15Five 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 15Five. 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 15Five MCP in CrewAI

Install the tools package via pip install crewai "crewai[tools]". Then pass your Vinkius endpoint directly into the agent's configuration list.

Yes, if you give them access to the right tool. The agent requires an email address and a personal message to trigger the public recognition.

Advanced setups use the MCPServerHTTP class. This allows you to apply a specific filter so an agent only sees the tools relevant to its assigned role.

Your crew can run tasks in a strict order. An agent reads the org chart first, passes that context to memory, and the next agent analyzes the performance data.

Company objectives and individual targets pass through a strictly ephemeral barrier. The server spins up, executes the requested operation, and tears itself down completely, leaving no trace of your internal goals.

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