Can I see the flights associated with a campaign?

Yes, use the `list_flights` tool to get a full list of flights, which includes their parent campaign IDs and targeting metadata.

How do I check the status of my ad inventory sites?

The `list_sites` and `list_zones` tools provide real-time visibility into your inventory structure and the status of each placement.

Is it possible to list all uploaded creatives?

Absolutely. Use the `list_creatives` tool to retrieve a comprehensive list of all ad creatives configured in your Kevel account.

Kevel MCP Server for CrewAI 11 tools — connect in under 2 minutes

Name: Kevel
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 11 Tools Framework

Connect your CrewAI agents to Kevel through Vinkius, pass the Edge URL in the `mcps` parameter and every Kevel 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

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Kevel Specialist",
    goal="Help users interact with Kevel effectively",
    backstory=(
        "You are an expert at leveraging Kevel 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 Kevel "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 11 available tools "
        "and what they can do."
    ),
)

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

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

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 Kevel MCP Server

Connect your Kevel (formerly Adzerk) account to any AI agent to streamline your ad serving operations. This MCP server allows your agent to manage advertisers, campaigns, flights, and inventory sites directly through natural language.

When paired with CrewAI, Kevel becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Kevel 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 and retrieve detailed configurations for campaigns and flights
Advertiser Oversight — Query and manage advertising entities and their metadata
Inventory Control — List and inspect sites, zones, and channels to manage your ad placements
Creative Audit — Access a comprehensive list of ad creatives and individual ad instances
Format Exploration — List supported ad types and sizes to ensure correct technical implementations

The Kevel MCP Server exposes 11 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 Kevel to CrewAI via MCP

Follow these steps to integrate the Kevel 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 11 tools from Kevel

Why Use CrewAI with the Kevel MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Kevel 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

Kevel + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Kevel 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 Kevel, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Kevel 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 Kevel against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Kevel MCP Tools for CrewAI (11)

These 11 tools become available when you connect Kevel to CrewAI via MCP:

get_advertiser

Get details for a specific advertiser

get_campaign

Get details for a specific campaign

list_ad_types

g., banner, native). List available ad types

list_ads

List all ads

list_advertisers

List all advertisers in Kevel

list_campaigns

List all campaigns

list_channels

List all channels

list_creatives

) uploaded to the account. List all creatives

list_flights

List all flights

list_sites

List all sites

list_zones

List all zones

Example Prompts for Kevel in CrewAI

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

"Show me all active campaigns in Kevel."

"List all ad zones for the site with ID 12345."

"What ad types are supported in my Kevel account?"

Troubleshooting Kevel MCP Server with CrewAI

Common issues when connecting Kevel 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.

Kevel + CrewAI FAQ

Common questions about integrating Kevel 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.