How to Use the Showpad MCP in CrewAI

Q: Can I get a complete list of Showpad assets using crewai?

Yes. One specialized agent can use listassets to pull all available asset IDs and metadata into the shared memory. Another agent then reviews this data, classifying it by tags or division.

Q: What is the best way to handle Showpad content channels with crewai?

Define a 'Content Manager' role for an agent that calls listchannels. This process allows other agents to know exactly which distribution methods are available when drafting or classifying new assets.

Run specialized teams of agents against Showpad for autonomous content operations.

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Connect Showpad MCP to CrewAI

Create your Vinkius account to connect Showpad to CrewAI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Showpad with CrewAI

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Autonomous asset discovery in Showpad.

Design Agent A to search the corpus using `search_assets` based on a topic. Agent B then takes those resulting IDs and calls `get_asset_details` for full context, validating every piece of content found. The crew operates with shared memory; the initial keyword from the user is passed directly into both searching and detail retrieval.

Mapping organizational structure in Showpad.

The Agents can collaborate to define the company map. One agent runs `list_divisions` while a second uses `list_tags` to cross-reference how those divisions are classified. This builds an authoritative taxonomy. The crew specializes roles: one expert handles organizational units, and another manages content classifications.

Cross-referencing user data across Showpad.

Agent A gets the list of all available users via `list_users`. Agent B then takes a specific username from that list and calls `get_user_details` to pull their full profile. This process repeats until the required team member's data is extracted. The agents can run this as a sequential operation, ensuring every dependency is met before moving on.

Setup guide

Set up Showpad 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 Showpad tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Assign one agent the role of 'Content Researcher' and give it access to `search_assets`. The agent will execute the query, gather the results, and pass those IDs to another agent for detailed review.

Yes. One specialized agent can use `list_assets` to pull all available asset IDs and metadata into the shared memory. Another agent then reviews this data, classifying it by tags or division.

Define a 'Content Manager' role for an agent that calls `list_channels`. This process allows other agents to know exactly which distribution methods are available when drafting or classifying new assets.

You define a 'HR Agent' role. This agent is given access to `list_users` and uses the shared memory to coordinate calling `get_user_details` for specific employee IDs.

The agents only process the minimum necessary fields. For instance, instead of pulling all user details, you can instruct them to only extract the 'Department' field from `get_user_details`.

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