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Albi Restoration MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Check Api Health, Create New Contact, Create New Restoration Project, and more

Built by Vinkius GDPR 12 Tools SDK

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

Ask AI about this App Connector for Pydantic AI

The Albi Restoration app connector for Pydantic AI is a standout in the Productivity category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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 Albi Restoration "
            "(12 tools)."
        ),
    )

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

asyncio.run(main())
Albi Restoration
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 Albi Restoration MCP Server

Connect your Albi (albiware.com) account to any AI agent and take full control of your restoration contracting and project management workflows through natural conversation.

Pydantic AI validates every Albi Restoration 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.

What you can do

  • Project Lifecycle Orchestration — List and manage all restoration projects programmatically, retrieving detailed high-fidelity statuses, staff assignments, and timelines in real-time
  • Financial Insights & KPIs — Programmatically retrieve project-specific financial data, including high-fidelity revenue metrics, costs, and gross margins directly through your agent
  • Relationship Management Architecture — Access and manage your entire database of individual contacts, clients, and business organizations to maintain a perfectly coordinated ecosystem
  • Inventory & Asset Tracking — Programmatically track physical equipment and specialized restoration gear to oversee your organization's assets and availability efficiently
  • Operational Monitoring — Access project activities, monitor active webhooks, and verify API connectivity directly through your agent for instant reporting

The Albi Restoration 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.

All 12 Albi Restoration tools available for Pydantic AI

When Pydantic AI connects to Albi Restoration through Vinkius, your AI agent gets direct access to every tool listed below — spanning albi, restoration-api, project-management-automation, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

check_api_health

Verify Albi API status

create_new_contact

Add a new contact

create_new_restoration_project

Requires project name and primary contact. Start a new project

get_project_details

Get details for a specific project

get_project_financial_kpis

Retrieve financial KPIs for a project

list_configured_webhooks

List active webhooks

list_defined_project_roles

List available project roles

list_inventory_equipment

List assets and equipment

list_project_activities

List all tasks and activities

list_restoration_contacts

List all contacts

list_restoration_organizations

List all organizations

list_restoration_projects

List all restoration projects

Connect Albi Restoration to Pydantic AI via MCP

Follow these steps to wire Albi Restoration into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install Pydantic AI

Run pip install pydantic-ai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 12 tools from Albi Restoration with type-safe schemas

Why Use Pydantic AI with the Albi Restoration MCP Server

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

01

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

02

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

03

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

04

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

Albi Restoration + Pydantic AI Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Albi Restoration in Pydantic AI

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

01

"List all my active restoration projects in Albi."

02

"What are the financial KPIs for project 'proj_123'?"

03

"Check my inventory for available dehumidifiers."

Troubleshooting Albi Restoration MCP Server with Pydantic AI

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Albi Restoration + Pydantic AI FAQ

Common questions about integrating Albi Restoration MCP Server with Pydantic AI.

01

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.
02

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.
03

Can I switch LLM providers without changing MCP code?

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