How to Use the Namely MCP in CrewAI

Q: How does CrewAI handle authentication for the Namely server?

CrewAI passes the authentication token through the MCPServerHTTP configuration. You get one endpoint token from Vinkius for your Namely server, and you provide it once during setup. CrewAI handles the rest.

Equip your CrewAI agents with tools to access Namely HR data, letting them autonomously manage org charts, reports, and company updates.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Namely MCP to CrewAI

Create your Vinkius account to connect Namely 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.

GDPR Free for Subscribers

Setup Namely with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Build an HR Specialist Agent

Dedicate one agent in your crew to be the "HR Specialist." Give it exclusive access to `get_profile` and `list_profiles`. When another agent in the crew needs to know someone's team or job title, it delegates the task to the specialist. This keeps your other agents focused on their own jobs. The HR agent becomes the single source of truth for all employee data from Namely, which prevents conflicting information across your crew's operations.

Monitor Company Changes with a Crew

Set up a "Monitor" agent that periodically calls `list_announcements` and `list_events`. When it detects a new company-wide announcement, it passes that information to a "Communicator" agent. The Communicator agent can then use `list_teams` and `list_profiles` to find the right people and notify them. Your crew handles the whole workflow, from detection to action, with no human input.

Delegate HR Tasks Between CrewAI Agents

This MCP server works well with CrewAI's role-based structure. A "Recruiting" agent could have access to `list_jobs`, while an "Internal Comms" agent gets `list_announcements` and `list_events`. It's like a real HR department. By connecting to Namely, your autonomous crew can divide and conquer tasks. One agent can pull a report with `list_reports` while another analyzes team structure with `get_team`.

Setup guide

Set up Namely 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 Namely tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Namely 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 Namely. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Namely now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Namely MCP in CrewAI

It's straightforward. You pass the Vinkius URL for the Namely server directly into the `mcps` list when you define your Agent in CrewAI. The agent will automatically discover and index the available tools.

Yes. When you configure the MCP server connection in CrewAI, you can use the `tool_filter` option. This lets you provide a list of tool names that the agent is allowed to use, like only giving it `list_jobs`.

A good starting point is a three-agent crew. An 'Analyst' agent with access to `list_reports` and `list_profiles`, a 'Coordinator' with access to `get_team`, and a 'Reporter' agent to summarize the findings for a human.

CrewAI passes the authentication token through the `MCPServerHTTP` configuration. You get one endpoint token from Vinkius for your Namely server, and you provide it once during setup. CrewAI handles the rest.

You have two layers of control. First, the entire connection is gated by a single Vinkius auth token. Second, you can use CrewAI's `tool_filter` to ensure only specific, trusted agents in your crew can even see sensitive tools like `get_profile` or `list_reports`.

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