How to Use the Gripr MCP in CrewAI

Q: How do I connect Gripr to my CrewAI agents?

Add the Vinkius endpoint to the mcps parameter in your Agent definitions. The crew will instantly gain access to the full suite of tools.

Deploy autonomous construction crews with the Gripr MCP Server and CrewAI. Manage complex safety and compliance tasks automatically.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Gripr MCP to CrewAI

Create your Vinkius account to connect Gripr 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 Gripr with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Specialized agent collaboration

Assign agents to watch specific sites using `list_tasks`. One agent monitors the progress while another manages the compliance forms. They share context to ensure nothing slips through the cracks. It creates a coordinated response to site hazards without you lifting a finger.

Autonomous safety monitoring

Let your crew scan projects using `list_forms` and `get_project_details` on a schedule. They identify missing documentation and flag it for immediate review. This prevents compliance drift. Your agents act as a dedicated safety team that never sleeps.

Automated labor oversight

Run a crew that cross-references `list_registered_hours` against project schedules. It spots discrepancies in real-time and reports them back to your managers. You eliminate manual audits. It keeps your project costs and timelines accurate and visible.

Setup guide

Set up Gripr 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 Gripr tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Add the Vinkius endpoint to the `mcps` parameter in your Agent definitions. The crew will instantly gain access to the full suite of tools.

They can. By giving your agents the right tools, they decide when to call `list_tasks` or `create_task` based on the objective you set.

It is. You can assign tools to specific agents within your hierarchy, ensuring the right specialist handles the right construction data.

We use an ephemeral sandbox for every server instance. Your keys and workspace data are never shared or exposed to external agents.

This server processes sensitive site data, including worker hours and safety inspection logs. We enforce strict data handling to ensure your records remain confidential.

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