How to Use the Blueshift MCP in CrewAI
Run multi-agent marketing crews using CrewAI to analyze Blueshift campaigns and update customer segments.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Blueshift MCP to CrewAI
Create your Vinkius account to connect Blueshift 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 Multi-Agent Campaigns with CrewAI
The `list_campaigns` and `get_campaign_detail` tools give your specialized agents deep access to your marketing data. Inside a CrewAI setup, you can have a "Research Agent" gather campaign metrics while an "Analyst Agent" evaluates the performance. They share memory and collaborate to produce a detailed strategy report without human intervention. This multi-agent coordination happens autonomously. By passing the MCP Server URL directly to your agents, they gain the ability to inspect active campaigns and suggest immediate optimizations.
Coordinate Customer Segment Updates
The `list_segments` and `create_update_customer` tools allow your crew to manage audience targeting dynamically. One agent can monitor user event history via `get_event_history` while another agent updates the customer profile. They work in sequence, passing data down the line to ensure your marketing segments are accurate. You configure this using CrewAI's sequential or hierarchical process models. The agents use shared memory to keep track of which profiles have been processed, preventing redundant tool calls.
Track Events and Catalog Items Autonomously
The `track_event` and `get_catalog_items` tools allow your autonomous agents to react to user behaviors and inventory changes. Your crew can monitor product availability and instantly log custom events when items go out of stock. This keeps your marketing platform perfectly aligned with your actual catalog status. For advanced setups, use the MCP helper classes from the CrewAI library. This lets you apply a `tool_filter` so your agents only access the specific tools they need for their roles.
Set up Blueshift 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 Blueshift tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Blueshift Analyst",
goal="Access and analyze Blueshift data via MCP.",
backstory="Expert analyst with direct Blueshift access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Blueshift 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="Blueshift Analyst",
goal="Access and analyze Blueshift data via MCP.",
backstory="Expert analyst with direct Blueshift access.",
tools=mcp_tools,
)
task = Task(
description="List recent Blueshift 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 Blueshift. 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 Blueshift MCP in CrewAI
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