How to Use the CometAPI MCP in CrewAI

Q: Can I limit which CometAPI tools a CrewAI agent sees?

Use the toolfilter option in the MCPServerHTTP class. This restricts your agents to only the functions you choose to expose.

Deploy autonomous crews using CrewAI and the CometAPI MCP Server.

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Connect CometAPI MCP to CrewAI

Create your Vinkius account to connect CometAPI 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 CometAPI with CrewAI

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Role-based CometAPI access in CrewAI

Give your research agent exclusive access to `list_supported_ai_providers` while the action agent handles the `create_ai_chat_completion` tool. Each crew member only gets the tools they need to finish their specific job. It prevents agents from making unnecessary calls and keeps your logic clean.

Coordinate agents with CometAPI data

Use `get_pricing_information` to help your budget-manager agent decide which models to select. It compares costs before the crew commits to a task. This adds a layer of intelligence to your autonomous operations. Your agents make decisions based on real-time data instead of guessing.

Audit CometAPI usage across your crew

Configure a monitor agent to call `get_api_usage_statistics` periodically. It keeps track of how much the whole crew is spending on API requests. If usage spikes, the agent can alert you or shut down the crew. It provides a feedback loop for your autonomous systems.

Setup guide

Set up CometAPI 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 CometAPI tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Pass the server URL into the mcps list within your Agent configuration. CrewAI handles the connection and tool registration automatically.

Use the tool_filter option in the MCPServerHTTP class. This restricts your agents to only the functions you choose to expose.

Yes, you can share the tool access across your manager and worker agents. It works perfectly in both sequential and hierarchical modes.

The server supports stdio, SSE, and Streamable HTTP. You can choose the transport that fits your deployment environment best.

Vinkius uses a zero-trust model for all interactions. Your user profile data is fetched only when requested and is never stored in the agent's memory between sessions.

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