How to Use the Apideck MCP in CrewAI

Deploy a crew of autonomous agents to sync CRM contacts and manage Vault security via this MCP server.

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Connect Apideck MCP to CrewAI

Create your Vinkius account to connect Apideck 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.

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Setup Apideck with CrewAI

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Coordinate CRM tasks with CrewAI

Assign `list_crm_contacts` to a researcher agent in your crew. It gathers data while another agent formats the output for your reports. The agents share memory to avoid duplicate API calls. You build a pipeline that researches and updates records without constant oversight.

Secure Vault operations in CrewAI

Create a monitor agent that uses `get_vault_connection` to track platform status. If a connection breaks, the moderator agent triggers a fix. You define the roles for each agent. This ensures specialized handling of your sensitive Vault infrastructure.

Proxy API calls across CrewAI agents

Use `execute_proxy` to pull data from diverse services. One agent fetches the raw data, and the next agent interprets the response. This keeps your agent logic clean. You don't need to write custom parsers for every API; the tool returns the data in a standard format.

Setup guide

Set up Apideck 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 Apideck tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Include the server URL in your agent definition. You can filter which agents get access to the CRM tools to keep responsibilities separate.

Yes. Agents share the context provided by these tools. One agent can list connections and pass that list to another for analysis.

It does. You can place the tools at the manager level or assign them to specific subordinates. The hierarchy dictates who uses the API.

You can connect via SSE or HTTP. We support the standard transport methods required by the framework for stable performance.

We use scoped tokens for every agent interaction. Your CRM contact records never touch the agent's persistent memory, staying ephemeral for the duration of the task.

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