3,400+ MCP servers ready to use
Vinkius

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

Built by Vinkius GDPR 12 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Albi Restoration as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Ask AI about this App Connector for LlamaIndex

The Albi Restoration app connector for LlamaIndex 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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Albi Restoration. "
            "You have 12 tools available."
        ),
    )

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

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.

LlamaIndex agents combine Albi Restoration tool responses with indexed documents for comprehensive, grounded answers. Connect 12 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex

When LlamaIndex 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 LlamaIndex via MCP

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

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
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

Why Use LlamaIndex with the Albi Restoration MCP Server

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

01

Data-first architecture: LlamaIndex agents combine Albi Restoration tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain Albi Restoration tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query Albi Restoration, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what Albi Restoration tools were called, what data was returned, and how it influenced the final answer

Albi Restoration + LlamaIndex Use Cases

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

01

Hybrid search: combine Albi Restoration real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query Albi Restoration to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Albi Restoration for fresh data

04

Analytical workflows: chain Albi Restoration queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Albi Restoration in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Albi Restoration + LlamaIndex FAQ

Common questions about integrating Albi Restoration MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Albi Restoration tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.