How to Use the Anaplan MCP in CrewAI

Q: Do I need to filter Anaplan tools for CrewAI?

You can use the toolfilter option in the CrewAI MCP config. This restricts your agents to only the tools they need for their specific role.

Deploy a CrewAI crew to manage your Anaplan models. Let specialized agents handle imports, exports, and status monitoring autonomously.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Anaplan MCP to CrewAI

Create your Vinkius account to connect Anaplan 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 Anaplan with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Autonomous Anaplan operations with CrewAI

Assign a dedicated agent to call `run_process` while another watches the `get_task_status` output. They work in tandem to finish complex planning cycles. Your crew manages the sequence of events. You just define the objective and let the agents handle the tool calls.

CrewAI agents managing Anaplan exports

Use `list_exports` to let your research agent identify the right data sets. Then, the execution agent triggers the job. This separation of concerns keeps your agents focused. One finds the data, the other moves it.

Coordinate Anaplan workspaces with CrewAI

Your moderator agent can call `list_workspaces` to map out the available environment. It gives the crew full context on which model to target. This ensures your agents don't guess. They act on the actual structure of your Anaplan setup.

Setup guide

Set up Anaplan 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 Anaplan tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Include the server URL in your Agent's mcps list. The framework automatically registers the tools for your agents to use.

Yes, you can define a hierarchical crew. One agent triggers the import, and a second agent waits for the status to clear before starting the next task.

All communications happen through the secure Vinkius transport layer. We isolate your data from the broader agent memory to prevent leaks.

You can use the tool_filter option in the CrewAI MCP config. This restricts your agents to only the tools they need for their specific role.

Your Anaplan credentials and workspace data are restricted to a single-use session. Every interaction is isolated within our zero-trust sandbox architecture.

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