What AI clients can use this MCP?

You can use this MCP with Claude Desktop, Cursor, Windsurf, and VS Code.

How does the material ranking work?

The agent uses the rank_materials capability to order candidates based on a performance goal you provide, such as a stiffness-to-weight ratio.

Do I need to host the MCP myself?

No, Vinkius hosts and manages the MCP for you. You just connect your client and start working.

Can it help with manufacturing costs?

Yes, the evaluate_manufacturability_and_cost capability allows your agent to assess the economic feasibility of your material choices.

Does it support Ashby-style selection?

Yes, the MCP is specifically designed to follow Ashby-style methodology for engineering material selection.

How do I find materials that meet my specific constraints?

You can use the find_suitable_materials capability by providing a map of your required property thresholds and the expected operating conditions.

Can I optimize materials for weight reduction?

Yes, use the rank_materials capability and set the performance goal to a metric like stiffness_to_weight to find the best candidates for lightweight applications.

How does the system handle manufacturing feasibility?

The evaluate_manufacturability_and_cost capability provides scores for manufacturability, cost, and availability based on your intended production method, such as casting or 3d_printing.

An astronaut overseeing a futuristic data hub

Download PDF Markdown Version

Connect Material Selection Database to ChatGPT and Claude

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Pick the right materials for any engineering constraint.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

Waiting for input…

Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 4 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Material Selection Database.

01
Compare material properties
This capability provides a side-by-side comparison of specific properties between two or more materials.
02
Evaluate manufacturability and cost
This capability assesses the economic and production feasibility of your selected materials.
03
Find suitable materials
This capability identifies a list of materials that satisfy all your mandatory constraints and operating conditions.
04
Rank materials
This capability orders suitable materials based on a specific performance goal you define.

Real work

What teams actually run

Aerospace Component Design

Find lightweight materials that can handle extreme temperature cycles.

Automotive Weight Reduction

Rank materials to maximize stiffness while minimizing total mass.

Cost-Driven Prototyping

Evaluate if a high-performance material is too expensive for mass production.

Structural Analysis

Compare density and yield strength for different structural candidates.

One connector, every AI

Material Selection Database works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

Building your own app? The connector is yours to use.

You don't need a client to put Material Selection Database to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

854ms average. Fast in production.

Material Selection Database is checked daily against the live service.

Daily averagePeak 1046ms

Oct 8Today

Fastest day: 664ms
Slowest day: 1046ms
14-day trend: Improving-11%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 4 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Material Selection Database, so you can see the experience inside your AI.

It does not authenticate your account with Material Selection Database. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Material Selection Database Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_ouKwNB589supE47mt47w2paY7Zo50vxVLFLMx0rV/mcp

Claude Desktop

Follow the steps below to connect in seconds.

1In Claude Desktop, open Settings → Connectors.
2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3Click Add and start a new chat — Material Selection Database capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "material-selection-database-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_ouKwNB589supE47mt47w2paY7Zo50vxVLFLMx0rV/mcp"
    }
  }
}

Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Material Selection Database in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Material Selection Database owners hand off.

This MCP is built for engineers who need to move from design requirements to material selection without manual data entry.

01
Mechanical Engineers
They hand off structural and thermal constraints to the agent to find candidate alloys.
02
Materials Scientists
They use the agent to rank materials based on specific performance indices.
03
Manufacturing Engineers
They use the agent to check if a selected material is viable for production.

FAQ

Questions Material Selection Database owners ask.

01
What AI clients can use this MCP?
You can use this MCP with Claude Desktop, Cursor, Windsurf, and VS Code.
02
How does the material ranking work?
The agent uses the rank_materials capability to order candidates based on a performance goal you provide, such as a stiffness-to-weight ratio.
03
Do I need to host the MCP myself?
No, Vinkius hosts and manages the MCP for you. You just connect your client and start working.
04
Can it help with manufacturing costs?
Yes, the evaluate_manufacturability_and_cost capability allows your agent to assess the economic feasibility of your material choices.
05
Does it support Ashby-style selection?
Yes, the MCP is specifically designed to follow Ashby-style methodology for engineering material selection.
06
How do I find materials that meet my specific constraints?
You can use the find_suitable_materials capability by providing a map of your required property thresholds and the expected operating conditions.
07
Can I optimize materials for weight reduction?
Yes, use the rank_materials capability and set the performance goal to a metric like stiffness_to_weight to find the best candidates for lightweight applications.
08
How does the system handle manufacturing feasibility?
The evaluate_manufacturability_and_cost capability provides scores for manufacturability, cost, and availability based on your intended production method, such as casting or 3d_printing.

Explore

More in Engineering

Connect Material Selection Database to Claude, Cursor, ChatGPT & more

Your AI does the work. We keep it safe and sound.

Each Connector runs inside its own sealed environment.

One switch stops every agent. Instantly.

Spending limits that pause instead of surprise.

We ship only the actions that matter.

01-04

Compare material properties

Evaluate manufacturability and cost

Find suitable materials

Rank materials

What teams actually run

Aerospace Component Design

Automotive Weight Reduction

Cost-Driven Prototyping

Structural Analysis

Building your own app? The connector is yours to use.

Material Selection Database Connector

Claude Desktop

Mechanical Engineers

Materials Scientists

Manufacturing Engineers

What AI clients can use this MCP?

How does the material ranking work?

Do I need to host the MCP myself?

Can it help with manufacturing costs?

Does it support Ashby-style selection?

How do I find materials that meet my specific constraints?

Can I optimize materials for weight reduction?

How does the system handle manufacturing feasibility?

Perforating Gun Selection Engine AI Connector

Reservoir Material Balance Engine AI Connector

Crusher Selection & Sizing AI Connector

Gravity Separation Design Engine AI Connector

Suggestions

Repair Vendor Selection Engine AI Connector

RAG Chunk Selection Optimizer AI Connector

Materialize (Streaming SQL DB) AI Connector

RisingWave (Streaming Database) AI Connector