How to Use the Collect MCP in CrewAI

Q: How do I load Collect MCP Server tools into a CrewAI agent?

Pass the Vinkius URL directly into the mcps list when defining your agent. The agent instantly gains access to tools like listrequests and createrequest.

Q: Does CrewAI support selective tool exposure for the Collect MCP Server?

Yes, you can use MCPServerHTTP with a toolfilter to restrict tools. For instance, you can allow a junior agent to use listmessages while blocking it from using createrequest.

Q: Who has access to my message logs and user profiles?

Your communication data retrieved via listmessages is strictly protected. Vinkius runs the MCP Server in a zero-trust, ephemeral sandbox, preventing any external exposure of your user profiles.

Run autonomous multi-agent teams to manage your Collect campaigns using CrewAI and this MCP Server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Collect MCP to CrewAI

Create your Vinkius account to connect Collect 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 Collect with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Coordinate multi-agent Collect campaigns in CrewAI

`list_campaigns` gives your CrewAI researcher agent the ability to scan all active document drives. The researcher agent identifies outstanding requests and hands them off to a specialized copywriter agent. The copywriter then runs `send_message` to draft and send tailored reminders. This division of labor ensures your team contacts recipients without manual intervention.

Hierarchical validation of submitted files

`get_element_details` allows a validator agent to inspect specific form fields submitted by your clients. If the validator spots an error, it escalates the issue to a manager agent. The manager agent then invokes `create_request` to ask for a replacement file. By using CrewAI's hierarchical process, your agents resolve data errors autonomously.

Automated team monitoring and reporting

`get_team_info` allows a reporting agent to fetch organizational metrics and summarize progress for your stakeholders. The agent cross-references this with `list_requests` to build a complete status report. This autonomous crew runs on a cron job, pulling data and writing updates to your team channel. You get a self-managing operations team that keeps your collection drives on track.

Setup guide

Set up Collect 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 Collect tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Pass the Vinkius URL directly into the `mcps` list when defining your agent. The agent instantly gains access to tools like `list_requests` and `create_request`.

Yes, CrewAI supports shared memory, allowing your researcher and writer agents to coordinate. One agent can check `get_request` while another prepares the follow-up message.

Yes, you can use `MCPServerHTTP` with a `tool_filter` to restrict tools. For instance, you can allow a junior agent to use `list_messages` while blocking it from using `create_request`.

The server supports stdio, SSE, and Streamable HTTP. CrewAI handles these transports out of the box so you don't have to write custom networking code.

Your communication data retrieved via `list_messages` is strictly protected. Vinkius runs the MCP Server in a zero-trust, ephemeral sandbox, preventing any external exposure of your user profiles.

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