How to Use the Lancerkit MCP in CrewAI
Deploy a specialized crew of agents in CrewAI to monitor, analyze, and execute Lancerkit billing operations autonomously.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Lancerkit MCP to CrewAI
Create your Vinkius account to connect Lancerkit 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.
Autonomous invoice monitoring
Assign a monitor agent to watch your pipeline using `list_invoices`. It alerts you if a payment remains overdue for too long. This removes the need for manual check-ins. Your crew keeps the books balanced while you focus on other work.
Specialized task analysis
Let your research agent pull data with `list_tasks`. It aggregates hours and compares them against your service agreements. It provides a clear report for the rest of your crew. You get actionable insights without digging through raw logs yourself.
Collaborative billing crews
Configure your crew to act on insights. One agent retrieves data with `get_time_logs`, while another generates drafts using `get_invoice`. They share context to ensure accuracy. It creates a closed-loop system for your entire freelance operation.
Set up Lancerkit 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 Lancerkit tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Lancerkit Analyst",
goal="Access and analyze Lancerkit data via MCP.",
backstory="Expert analyst with direct Lancerkit access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Lancerkit 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="Lancerkit Analyst",
goal="Access and analyze Lancerkit data via MCP.",
backstory="Expert analyst with direct Lancerkit access.",
tools=mcp_tools,
)
task = Task(
description="List recent Lancerkit 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 Lancerkit. 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.
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 Lancerkit MCP in CrewAI
Use it with your favorite AI tools
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