How to Use the Togai (Usage Metering & Pricing) MCP in CrewAI
Autonomous Billing Operations for CrewAI Teams
Works with every AI agent you already use
…and any MCP-compatible client
Connect Togai (Usage Metering & Pricing) MCP to CrewAI
Create your Vinkius account to connect Togai (Usage Metering & Pricing) 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.
Run Autonomous Metering with the MCP Server
The `get_metrics` tool allows a specialized agent to pull aggregated usage data. You can assign one agent to run this query, and another to analyze the results for anomalies. CrewAI runs these agents in collaboration. One agent might list all invoices via `list_invoices`, while a second agent uses that raw data to calculate discrepancies.
Manage Customer Billing with CrewAI
Need to adjust a customer's billing status? The `update_customer` tool lets an action-agent modify records. This is ideal for autonomous operations, such as correcting bad data found by the research agent. You can pass this URL directly in your agents list, making sure every specialized role has access to the necessary tools.
Track Entitlements Across Agent Teams
The `get_entitlements` tool verifies what a user is allowed to do. A monitor agent can constantly watch sessions and run this check before any critical action occurs. This ensures that no matter how many agents are collaborating, the system always validates access permissions using the MCP Server's tools.
Set up Togai (Usage Metering & Pricing) MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. 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
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke Togai (Usage Metering & Pricing) tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Togai (Usage Metering & Pricing) Analyst",
goal="Access and analyze Togai (Usage Metering & Pricing) data via MCP.",
backstory="Expert analyst with direct Togai (Usage Metering & Pricing) access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Togai (Usage Metering & Pricing) transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
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="Togai (Usage Metering & Pricing) Analyst",
goal="Access and analyze Togai (Usage Metering & Pricing) data via MCP.",
backstory="Expert analyst with direct Togai (Usage Metering & Pricing) access.",
tools=mcp_tools,
)
task = Task(
description="List recent Togai (Usage Metering & Pricing) transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Togai. 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 Togai (Usage Metering & Pricing) MCP in CrewAI
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