How to Use the Numbers API MCP in CrewAI

Deploy a specialized CrewAI agent team to gather and analyze mathematical data autonomously.

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Connect Numbers API MCP to CrewAI

Create your Vinkius account to connect Numbers API 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 Numbers API with CrewAI

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Specialized trivia research crews

Assign a researcher agent in your CrewAI team to use `get_trivia_fact` and `get_random_fact`. The agent gathers the data, while your analyst agent interprets it for the user. This setup allows for deep collaboration where one agent focuses on finding the right data point and the other ensures it fits the current mission. It’s efficient and hands-off.

Autonomous historical logging

Set up a monitor agent to use `get_year_fact` and `get_date_fact` to log historical context for ongoing projects. It works in the background without human intervention. Your MCP Server acts as the source of truth for the crew. They don't need to be told how to find the data; they just know how to call the tool when the project requires a date reference.

Multi-agent math verification

Use a moderator agent to verify facts from `get_math_fact` before they reach the final report. This adds a layer of quality control to your autonomous operations. Your team of agents works together to refine the output. By using this toolset, you ensure that every math fact used by the crew is consistent and accurate, minimizing the risk of errors.

Setup guide

Set up Numbers API 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 Numbers API tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Yes, CrewAI agents use shared memory to pass tool outputs back and forth. If one agent gets a math fact, the rest of the crew can act on it.

Pass the server URL directly into the agent's mcps list. The framework handles the connection, and your agents can immediately call the available tools.

It does. You can assign specific tools to a manager agent or spread them across different crew members depending on their role.

The server only handles non-sensitive numerical facts. It keeps your private agent data isolated, ensuring no information is leaked during the retrieval process.

Yes, you can use a tool filter to ensure only the relevant fact-gathering tools are exposed to specific agents within your team.

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