Can I check the latest events tracked for a specific customer?

Yes! Use the `get_event_history` tool with the customer's email or ID. Your agent will fetch the timeline of their interactions, such as purchases or email opens.

How do I see the performance summary of my current campaigns?

Simply ask the agent to `get_campaign_performance`. It will retrieve a high-level overview of metrics across all active and past campaigns in your account.

Does the integration allow updating customer attributes?

Yes. Use the `create_update_customer` tool to modify profile data such as first name, last name, or custom properties directly from the agent.

Blueshift MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: Blueshift
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Blueshift through Vinkius, pass the Edge URL in the `mcps` parameter and every Blueshift tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Blueshift Specialist",
    goal="Help users interact with Blueshift effectively",
    backstory=(
        "You are an expert at leveraging Blueshift tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Blueshift "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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IAMAccess control

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DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Blueshift MCP Server

Connect your Blueshift account to any AI agent and orchestrate your omnichannel marketing and customer data workflows through natural conversation.

When paired with CrewAI, Blueshift becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Blueshift tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

Campaign Management — List all marketing campaigns, retrieve detailed execution reports, and monitor high-level performance.
Customer Data Orchestration — Retrieve and update detailed customer profiles, including custom attributes and identifiers.
Real-time Event Tracking — Track custom user interactions (purchases, clicks, views) and retrieve event histories for behavior analysis.
Catalog & Segment Discovery — List all data catalogs and customer segments to ensure accurate targeting.
Triggered Campaigns — Initiate API-triggered campaigns for specific users directly from your workspace.

The Blueshift MCP Server exposes 10 tools through the Vinkius. Connect it to CrewAI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Blueshift to CrewAI via MCP

Follow these steps to integrate the Blueshift MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from Blueshift

Why Use CrewAI with the Blueshift MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Blueshift through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Blueshift + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Blueshift MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Blueshift for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Blueshift, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Blueshift tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Blueshift against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Blueshift MCP Tools for CrewAI (10)

These 10 tools become available when you connect Blueshift to CrewAI via MCP:

create_update_customer

Create or update a customer profile

get_campaign_detail

Get detailed report for a specific campaign

get_campaign_performance

Get high-level performance summary for all campaigns

get_catalog_items

Retrieve items from a specific catalog

get_customer

Retrieve a customer profile

get_event_history

Get history of events for a user

list_campaigns

List all marketing campaigns

list_catalogs

List all data catalogs

list_segments

List all customer segments

track_event

Track a custom user event

Example Prompts for Blueshift in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Blueshift immediately.

"List all active marketing campaigns in Blueshift."

"Show the profile for customer john@example.com."

"Track a 'purchase' event for user customer_123."

Troubleshooting Blueshift MCP Server with CrewAI

Common issues when connecting Blueshift to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Blueshift + CrewAI FAQ

Common questions about integrating Blueshift MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.