Where do I find my Offerslook API Key?

Log in to your Offerslook network dashboard and navigate to the API settings section to find your Network ID and API Key.

Can I see conversions in real-time?

Yes! Use the `list_recent_conversions` tool to retrieve a list of the latest successful goal completions in your network.

How do I generate a performance report?

The `get_performance_report` tool allows you to specify a start and end date to retrieve aggregated metrics for your network.

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

Name: Offerslook
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Offerslook through Vinkius, pass the Edge URL in the `mcps` parameter and every Offerslook 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="Offerslook Specialist",
    goal="Help users interact with Offerslook effectively",
    backstory=(
        "You are an expert at leveraging Offerslook 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 Offerslook "
        "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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About Offerslook MCP Server

Connect your Offerslook network account to your AI agent and streamline your performance marketing operations and partner management through natural conversation.

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

Offer Management — List all active and paused marketing offers and retrieve detailed payout and tracking configuration.
Partner Oversight — Access profiles and performance settings for all advertisers and affiliates in your network.
Campaign Tracking — View active marketing campaigns and monitor recent conversion history in real-time.
Performance Reporting — Generate aggregated reports for specific date ranges to track clicks, conversions, and revenue.
Category Discovery — Browse the organizational categories used to group and manage your offers.
Deep Inspection — Fetch complete metadata for specific offers, partners, or campaigns using their unique IDs.

The Offerslook 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 Offerslook to CrewAI via MCP

Follow these steps to integrate the Offerslook 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 Offerslook

Why Use CrewAI with the Offerslook MCP Server

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

Offerslook + CrewAI Use Cases

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

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

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

Offerslook MCP Tools for CrewAI (10)

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

get_advertiser_details

Get specific advertiser details

get_affiliate_details

Get specific affiliate details

get_offer_details

Get specific offer info

get_performance_report

Generate performance report

list_active_campaigns

List marketing campaigns

list_advertisers

List all advertisers

list_affiliates

List all affiliates/publishers

list_offer_categories

List offer categories

list_offers

List all marketing offers

list_recent_conversions

List recent conversions

Example Prompts for Offerslook in CrewAI

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

"List all active offers in my network."

"What is the status of advertiser ID 'adv_98765'?"

"Show me the performance report for the first week of March."

Troubleshooting Offerslook MCP Server with CrewAI

Common issues when connecting Offerslook 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.

Offerslook + CrewAI FAQ

Common questions about integrating Offerslook 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.