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Taboola MCP Server for CrewAIGive CrewAI instant access to 10 tools to Create Campaign, Create Campaign Item, Get Campaign, and more

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

Ask AI about this MCP Server for CrewAI

The Taboola MCP Server for CrewAI is a standout in the Growth Engine category — giving your AI agent 10 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

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python
from crewai import Agent, Task, Crew

agent = Agent(
    role="Taboola Specialist",
    goal="Help users interact with Taboola effectively",
    backstory=(
        "You are an expert at leveraging Taboola 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 Taboola "
        "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)
Taboola
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* 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 Taboola MCP Server

Connect your Taboola Backstage account to any AI agent and take full control of your native advertising workflows through natural conversation.

When paired with CrewAI, Taboola becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Taboola 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

  • Account Management — List all allowed accounts and retrieve current user profile details
  • Campaign Control — List, fetch, create, and update campaigns including budgets, CPC, and active status
  • Ad Management — Manage campaign items (ads) by listing existing creatives or adding new URLs and thumbnails
  • Performance Reporting — Run detailed campaign summary reports by dimension (day, week, month) or identify top-performing content

The Taboola MCP Server exposes 10 tools through the Vinkius. Connect it to CrewAI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 10 Taboola tools available for CrewAI

When CrewAI connects to Taboola through Vinkius, your AI agent gets direct access to every tool listed below — spanning native-advertising, campaign-management, cpc, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create campaign on Taboola

Create a new Taboola campaign

create

Create campaign item on Taboola

Create a new campaign item (ad)

get

Get campaign on Taboola

Get details for a specific campaign

get

Get campaign summary report on Taboola

Get campaign summary report

get

Get current user on Taboola

Get current Taboola user details

get

Get top campaign content report on Taboola

Get top campaign content report

list

List allowed accounts on Taboola

List allowed Taboola accounts

list

List campaign items on Taboola

List items (ads) in a campaign

list

List campaigns on Taboola

List campaigns for an account

update

Update campaign on Taboola

Update an existing Taboola campaign

Connect Taboola to CrewAI via MCP

Follow these steps to wire Taboola into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install CrewAI

Run pip install crewai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Customize the agent

Adjust the role, goal, and backstory to fit your use case
04

Run the crew

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

Why Use CrewAI with the Taboola MCP Server

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

01

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

02

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

03

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

04

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

Taboola + CrewAI Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Taboola in CrewAI

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

01

"List all my Taboola accounts."

02

"Get a summary report for account 'act-9821' grouped by day."

03

"Update campaign 'camp-556' in account 'act-9821' to change the CPC to '0.45'."

Troubleshooting Taboola MCP Server with CrewAI

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

01

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
02

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
03

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
04

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.

Taboola + CrewAI FAQ

Common questions about integrating Taboola MCP Server with CrewAI.

01

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.
02

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.
03

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.
04

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.
05

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.

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