How to Use the Cody AI MCP in CrewAI

Deploy a specialized agent crew in CrewAI to manage your Cody AI interactions.

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Connect Cody AI MCP to CrewAI

Create your Vinkius account to connect Cody AI 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 Cody AI with CrewAI

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Claude

Perplexity

Agent Crew Specialization

Assign a researcher agent to `list_documents` and a moderator agent to `send_message`. Your CrewAI team collaborates to solve support queries without human intervention. Agents share memory of the conversation. They pass findings back and forth until the task is complete.

Autonomous Knowledge Management

Your crew monitors your documentation health. If an agent sees a document status is pending via `get_document_status`, it waits or flags an admin. This keeps your crew focused. They only act when the knowledge base is ready for the next interaction.

Multi-Bot Oversight

Manage a fleet of support assistants. Your CrewAI agents use `list_bots` to monitor activity across your entire Cody AI account. They analyze conversation history using `list_conversations`. If they detect a pattern, they escalate to a human or update the bot settings.

Setup guide

Set up Cody AI 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 Cody AI tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Cody AI 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 Cody AI. 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.

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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 Cody AI MCP in CrewAI

Yes. You map the tools to your agents, and they use them to research, reply, or manage your knowledge base autonomously.

You can limit which agents access specific tools. Keep your researchers focused on documents while your support agents handle messages.

No. The server maintains the conversation history and document state, so your agents just request what they need to get the job done.

You pass the endpoint URL directly into your agent configuration. It supports multiple transport types to suit your environment.

Vinkius uses ephemeral infrastructure to isolate your session. Your bot settings and private messages are only accessible to the agents you explicitly authorize.

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