How do I get an API Key for Froged?

Log in to your Froged Admin Panel, navigate to Settings > Integrations > API, and you can generate or copy your active API Key.

Can I track custom events to trigger campaigns?

Yes! Use the 'track_custom_event' tool. Provide the event name and the user's email to log the behavior and trigger any associated workflows.

Is it possible to reply to support chats through the agent?

Yes, use the 'send_chat_message' tool with the specific Conversation ID to post replies directly to the omnichannel inbox.

How do I sync a new user to Froged?

Use the 'upsert_contact' tool. Provide the user's email address, and if they don't exist, a new profile will be created. If they do, their metadata will update.

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

Name: Froged
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 11 Tools Framework

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

Connect your Froged account to any AI agent to automate your customer success and support operations through the Model Context Protocol (MCP). Froged is an omnichannel customer service platform designed to improve retention and engagement. This MCP server enables you to track behavioral events, manage customer profiles, and participate in support conversations directly through natural conversation.

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

Key Features

Contact Management — List all customer profiles, fetch detailed metadata, and programmatically create or update contacts to maintain a 360-degree view.
Behavioral Event Tracking — Access recent user events and post custom behavioral data (e.g., 'plan_upgraded') to trigger automated marketing campaigns.
Support Conversations — List active support chats across all channels and post replies to conversations seamlessly.
Marketing Campaigns — Retrieve a list of all active marketing and in-app campaigns to monitor engagement.
Knowledge Base Access — Fetch published help articles from your Knowledge Base to aid in self-service support.
Real-time Synchronization — Keep your customer success data and support inbox perfectly aligned with your internal tools.

The Froged 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 Froged to CrewAI via MCP

Follow these steps to integrate the Froged 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 Froged

Why Use CrewAI with the Froged MCP Server

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

Froged + CrewAI Use Cases

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

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

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

Froged MCP Tools for CrewAI (11)

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

get_chat_details

Get conversation history

get_contact_details

Get contact metadata

list_behavioral_events

List tracked events

list_cs_contacts

List Froged contacts

list_kb_articles

List help articles

list_marketing_campaigns

List active campaigns

list_support_conversations

List support chats

send_chat_message

Send support reply

track_custom_event

Track user behavior

upsert_contact

Create/Update contact

verify_api_status

Verify API connection

Example Prompts for Froged in CrewAI

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

"List my 5 most recent active support conversations."

"Track the event 'plan_upgraded' for user 'customer@email.com'."

"Show me the contact profile for 'jane@example.com'."

Troubleshooting Froged MCP Server with CrewAI

Common issues when connecting Froged 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.

Froged + CrewAI FAQ

Common questions about integrating Froged 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.