How to Use the Chuanglan 253 / 创蓝 MCP in CrewAI
Deploy autonomous agent crews to handle high-volume SMS campaigns and user verification with CrewAI.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Chuanglan 253 / 创蓝 MCP to CrewAI
Create your Vinkius account to connect Chuanglan 253 / 创蓝 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 campaign crews through this MCP Server
The `send_variable_sms` tool allows your outreach agent to blast personalized texts to thousands of users. A research agent pulls the contact list and drafts the variables. The execution agent then fires the batch job through the Chuanglan network. Splitting the workload across specialized roles prevents mistakes. A separate monitoring agent can run `get_balance` before the send. If your account lacks the funds, the crew halts the operation and pings your Slack.
Autonomous fraud prevention
Calling `verify_identity` gives your security agent the ability to check Chinese ID credentials in the background. When a new user registers, the agent cross-references their details. It flags suspicious signups instantly using `verify_phone` to confirm the mobile owner matches the ID. Manual KYC reviews bog down support teams. Your crew handles the initial sweep autonomously. Only the edge cases get escalated to a human moderator.
Analyze delivery metrics automatically
The `pull_sms_reports` tool feeds raw delivery logs straight into your analytics agent. It digests the data to find patterns in failed sends. If certain carriers are blocking your texts, the agent spots the trend. Tracking individual bounces is just as easy. Your crew uses `query_sms_status` to check specific numbers. They can automatically scrub dead contacts from your database without you writing a single cron job.
Set up Chuanglan 253 / 创蓝 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 Chuanglan 253 / 创蓝 tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Chuanglan 253 / 创蓝 Analyst",
goal="Access and analyze Chuanglan 253 / 创蓝 data via MCP.",
backstory="Expert analyst with direct Chuanglan 253 / 创蓝 access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Chuanglan 253 / 创蓝 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="Chuanglan 253 / 创蓝 Analyst",
goal="Access and analyze Chuanglan 253 / 创蓝 data via MCP.",
backstory="Expert analyst with direct Chuanglan 253 / 创蓝 access.",
tools=mcp_tools,
)
task = Task(
description="List recent Chuanglan 253 / 创蓝 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 Chuanglan 253 / 创蓝. 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 Chuanglan 253 / 创蓝 MCP in CrewAI
Use it with your favorite AI tools
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