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 Pydantic AI 11 tools — connect in under 2 minutes

Name: Froged
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 11 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Froged through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Froged "
            "(11 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Froged?"
    )
    print(result.data)

asyncio.run(main())

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.

Pydantic AI validates every Froged tool response against typed schemas, catching data inconsistencies at build time. Connect 11 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the Froged MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 11 tools from Froged with type-safe schemas

Why Use Pydantic AI with the Froged MCP Server

Pydantic AI provides unique advantages when paired with Froged through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Froged integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Froged connection logic from agent behavior for testable, maintainable code

Froged + Pydantic AI Use Cases

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

Type-safe data pipelines: query Froged with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Froged tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Froged and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Froged responses and write comprehensive agent tests

Froged MCP Tools for Pydantic AI (11)

These 11 tools become available when you connect Froged to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

Common issues when connecting Froged to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Froged + Pydantic AI FAQ

Common questions about integrating Froged MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Froged MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.