Can I see my CDRN and Ethoca alerts in one place?

Yes! Use the `list_dispute_alerts` tool. The agent will retrieve all intercepted alerts from various networks (CDRN, Ethoca, RDR) and display them in a unified list.

How do I mark an alert as refunded?

Use the `update_alert_status` tool with the alert ID and set the status to `refunded`. This notifies Chargeblast that you have resolved the dispute manually.

Where do I find my Chargeblast API Key?

Log in to your Chargeblast Dashboard and look for 'API Key' or 'Account Settings'. You can copy your key from that section for integration.

Chargeblast MCP Server for CrewAI 8 tools — connect in under 2 minutes

Name: Chargeblast
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 8 Tools Framework

Connect your CrewAI agents to Chargeblast through Vinkius, pass the Edge URL in the `mcps` parameter and every Chargeblast 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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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Chargeblast Specialist",
    goal="Help users interact with Chargeblast effectively",
    backstory=(
        "You are an expert at leveraging Chargeblast 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 Chargeblast "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 8 available tools "
        "and what they can do."
    ),
)

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

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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 Chargeblast MCP Server

Connect your Chargeblast account to any AI agent and take full control of your chargeback prevention and dispute management through natural conversation. Intercept disputes before they become chargebacks.

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

Alert Oversight — List and retrieve details for all intercepted dispute alerts (CDRN, Ethoca, RDR) natively
Status Management — Update alert statuses and mark disputes as refunded flawlessly
Deflection Auditing — List and analyze logs of successfully blocked chargeback attempts securely
Order Logistics — Upload order data to enable digital receipts and automatic deflections flawlessly
Merchant Enrollment — List and manage enrolled merchants under your account in real-time
Credit Requests — Trigger credit requests for specific dispute alerts directly within your workspace

The Chargeblast MCP Server exposes 8 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 Chargeblast to CrewAI via MCP

Follow these steps to integrate the Chargeblast 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 8 tools from Chargeblast

Why Use CrewAI with the Chargeblast MCP Server

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

Chargeblast + CrewAI Use Cases

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

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

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

Chargeblast MCP Tools for CrewAI (8)

These 8 tools become available when you connect Chargeblast to CrewAI via MCP:

get_dispute_alert_details

Get details for a specific dispute alert

list_deflection_logs

List logs of chargeback attempts that were successfully blocked

list_dispute_alerts

List all chargeback alerts from your account

list_enrolled_merchants

List all merchants enrolled under your account

list_uploaded_orders

List order history uploaded for deflection

request_dispute_credit

Request a credit for a specific dispute alert

update_alert_status

Update the status of a dispute alert

upload_order_data

Upload order data to enable digital receipts and deflections

Example Prompts for Chargeblast in CrewAI

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

"Show me all active dispute alerts in Chargeblast."

"What is the status of alert ID 12345?"

"Show me the logs of chargebacks blocked today."

Troubleshooting Chargeblast MCP Server with CrewAI

Common issues when connecting Chargeblast 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.

Chargeblast + CrewAI FAQ

Common questions about integrating Chargeblast 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.