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Connect Nanostructure Size Distribution Analyzer to your AI

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. Turn raw DLS and TEM data into precise particle metrics.

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Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

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.

A futuristic MCP client docking bay
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 Nanostructure Analyzer.

  1. 01

    Analyze dls data

    Calculates size distribution metrics from DLS measurement sets. Your agent uses this to find hydrodynamic sizing from intensity moments.

  2. 02

    Analyze tem data

    Processes direct TEM measurements to find physical diameter counts. It provides the statistical distribution of observed particle sizes.

  3. 03

    Compare characterization

    Compares DLS and TEM results. This capability identifies the gap between hydrodynamic and physical sizes.

  4. 04

    Get distribution summary

    Provides a high-level descriptive summary of a specific distribution. It returns key statistical descriptors for a given data set.

Real work

What teams actually run

01

Hydrodynamic vs Physical Sizing

Compare DLS and TEM data to estimate the thickness of surface layers on nanoparticles.

02

Batch Consistency Checks

Use the distribution summary capability to verify if a new batch of particles meets size specifications.

03

Data Processing Automation

Feed large lists of TEM diameters to your agent to get immediate statistical descriptors.

04

Distribution Modeling

Apply log-normal models to raw size data to find the mode and median.

One connector, every AI

Nanostructure Analyzer 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.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

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

You don't need a client to put Nanostructure Analyzer 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

880ms average. Fast in production.

Nanostructure Analyzer is checked daily against the live service.

Daily averagePeak 1036ms
Oct 3Today
Fastest day
762ms
Slowest day
1036ms
14-day trend
Stable0%

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 Nanostructure Analyzer, so you can see the experience inside your AI.

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

Nanostructure Analyzer Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_hCWpm0Tq0DIo6SkyK7z4QhB2uol8dwzGjI3vmRox/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Nanostructure Analyzer capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "nanostructure-size-distribution-analyzer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_hCWpm0Tq0DIo6SkyK7z4QhB2uol8dwzGjI3vmRox/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 Nanostructure Analyzer in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Nanostructure Analyzer owners hand off.

This MCP is built for researchers working with nanomaterials who need to automate the statistical processing of characterization data.

  • 01

    Nanomaterials Scientist

    Hands raw DLS and TEM data to the agent to get quick PDI and mean size values.

  • 02

    Analytical Chemist

    Uses the capability to compare hydrodynamic diameters against physical measurements.

  • 03

    Materials Engineer

    Provides distribution data to the agent to summarize particle size consistency.

FAQ

Questions Nanostructure Analyzer owners ask.

  • 01

    What kind of data does this MCP accept?

    It accepts DLS measurement sets and direct TEM diameter measurements.

  • 02

    Can I compare DLS and TEM results?

    Yes, the compare_characterization capability identifies the difference between hydrodynamic and physical sizes.

  • 03

    Which AI clients can use this MCP?

    You can use this with any MCP-compatible client like Claude, Cursor, Windsurf, or VS Code.

  • 04

    Does it support log-normal distribution modeling?

    Yes, you can request a summary of a distribution using a log-normal model.

  • 05

    What metrics are calculated from DLS data?

    The capability calculates hydrodynamic sizing, mean size, and the polydispersity index (PDI).

  • 06

    How do I analyze DLS data?

    Provide the intensity-weighted moments as a JSON string to the analyze_dls_data capability.

  • 07

    What statistical models are supported?

    The server supports log-normal and normal distribution models via the get_distribution_summary capability.

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