How do I get a Client ID and Secret for Fusioo?

Log in to your Fusioo workspace, navigate to Integrations > Custom Integrations, and create a new integration to retrieve your Client ID and Client Secret.

Where do I find my App ID or Record ID?

Open any record in your Fusioo app, click the options menu (three dots), and select 'Developer Information' to see the IDs for the App, Record, and Fields.

Can I filter records through the agent?

The 'list_app_records' tool retrieves the most recent records. For advanced filtering, ensure you have the correct App ID or use the 'get_record_details' if you have the specific ID.

What is the difference between an App and a Record?

In Fusioo, an App is a collection or database table (e.g., 'Projects'), while a Record is a specific entry in that collection (e.g., 'Website Launch').

Fusioo MCP Server for Pydantic AI 12 tools — connect in under 2 minutes

Name: Fusioo
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 12 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Fusioo 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 Fusioo "
            "(12 tools)."
        ),
    )

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

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

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DLPData protection

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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 Fusioo MCP Server

Connect your Fusioo workspace to any AI agent to automate your project management and database workflows through the Model Context Protocol (MCP). Fusioo is a highly customizable workspace platform that allows you to build your own apps to manage everything from CRM to project tracking. This MCP server enables you to retrieve app schemas, manage individual records, and monitor workspace activity directly through natural conversation.

Pydantic AI validates every Fusioo tool response against typed schemas, catching data inconsistencies at build time. Connect 12 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

Custom App Oversight — List all apps in your workspace and fetch detailed schemas including field definitions and unique IDs.
Record Management — Access and retrieve data from any of your custom apps, or create and update records programmatically.
Data Quantification — Get real-time record counts for specific apps to track project volume or lead growth.
Teammate Collaboration — List workspace users and teammates to maintain full context of who is involved in each app.
Dashboard Insights — Access configured widgets and saved reports to get high-level snapshots of your data.
User Identity — Fetch profile information for the authenticated API identity to verify access levels.
Real-time Synchronization — Keep your custom database records accessible to your AI assistant without leaving your primary workspace.

The Fusioo MCP Server exposes 12 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 Fusioo to Pydantic AI via MCP

Follow these steps to integrate the Fusioo 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 12 tools from Fusioo with type-safe schemas

Why Use Pydantic AI with the Fusioo MCP Server

Pydantic AI provides unique advantages when paired with Fusioo 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 Fusioo integration code

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

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

Fusioo + Pydantic AI Use Cases

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

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

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

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

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

Fusioo MCP Tools for Pydantic AI (12)

These 12 tools become available when you connect Fusioo to Pydantic AI via MCP:

create_app_record

Add a new record

get_app_record_count

Get total record count

get_app_schema

Get app metadata

get_my_identity

Get current user

get_record_details

Get record metadata

list_app_records

List records in app

list_apps

List all Fusioo apps

list_dashboard_widgets

List widgets

list_workspace_reports

List available reports

list_workspace_users

List teammates

update_app_record

Modify a record

verify_api_connection

Check connection

Example Prompts for Fusioo in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Fusioo immediately.

"List all the custom apps in my Fusioo workspace."

"Get the last 5 records from the 'Projects' app (ID: app_123)."

"How many records are currently in my 'Leads' app (ID: app_789)?"

Troubleshooting Fusioo MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Fusioo + Pydantic AI FAQ

Common questions about integrating Fusioo 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 Fusioo MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.