What kind of data does this MCP analyze?

It handles several types of biochemical data. You can input raw protein primary sequences, mass-based laboratory data from hydrolysates, or general composition data for nutritional checks.

Can I find the molecular weight of a protein?

Yes. You can use the analyze_sequence capability to calculate the molecular weight directly from a protein's primary structure sequence. The calculate_molecular_properties capability also provides detailed mass metrics.

Is this only for academic research?

No. The MCP is useful for commercial applications, such as vetting nutritional supplements. You can use the get_nutritional_profile capability to check if a protein meets specific demographic standards.

What if I only have mass data, not a sequence?

If you only have mass data, use the analyze_hydrolysate capability. It is designed to evaluate protein quality specifically from mass-based laboratory readings.

What input does analyze_sequence require?

It requires a single-letter amino acid sequence string representing the protein's primary structure.

How can I check if a protein is nutritionally complete?

You can use get_nutritional_profile with the composition data to check the adequacy ratio and completeness for a specific demographic.

Can I analyze mass-based laboratory data?

Yes, use the analyze_hydrolysate capability by providing a JSON mapping of amino acid identifiers to their measured mass.

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Connect Amino Acid Composition Analysis 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. Determine molecular weight and nutritional quality from raw data.

Ask AI about this Connector

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.

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 Amino Acid Analysis Service.

01
Calculate molecular properties
Specifically computes physical mass and residue-level metrics
02
Get nutritional profile
Provides a detailed breakdown of nutritional adequacy based on existing composition data
03
Analyze hydrolysate
Evaluates protein quality from mass-based laboratory data
04
Analyze sequence
Calculates composition and physical properties from a raw protein primary structure

Real work

What teams actually run

Protein Source Vetting

A nutritionist needs to confirm if a new supplement protein is complete for adults. You run the nutritional profile check to get an adequacy ratio.

Sequencing Validation

A biochemist receives a novel protein sequence and needs to know its exact molecular weight and amino acid breakdown. You use the sequence analysis capability.

Lab Data Interpretation

A research lab runs a hydrolysate test and gets mass data. You feed that data into the MCP to get an immediate protein quality assessment.

Material Specification

You need to provide detailed physical specs for a protein compound. You use the molecular properties capability to get mass and residue metrics.

One connector, every AI

Amino Acid Analysis Service 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 Amino Acid Analysis Service 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

851ms average. Fast in production.

Amino Acid Analysis Service is checked daily against the live service.

Daily averagePeak 1022ms

Oct 3Today

Fastest day: 730ms
Slowest day: 1022ms
14-day trend: Slowing+6%

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 Amino Acid Analysis Service, so you can see the experience inside your AI.

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

Amino Acid Analysis Service Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_RMbZb0eWp2gDoLGtqef2jQrkiqFSpaYcGjW4esyh/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 — Amino Acid Analysis Service capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "amino-acid-composition-analysis-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_RMbZb0eWp2gDoLGtqef2jQrkiqFSpaYcGjW4esyh/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 Amino Acid Analysis Service in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Amino Acid Analysis Service owners hand off.

Biochemists, molecular biologists, and nutrition researchers use this MCP to move beyond simple sequencing. It allows you to process raw data—whether it's a sequence or a mass reading—and get actionable metrics on protein quality and nutritional completeness.

01
Biochemist
Needs to calculate molecular weight and amino acid distribution from primary protein structures.
02
Nutritionist
Requires checking if a protein source is nutritionally adequate for specific age groups or health profiles.
03
Research Scientist
Uses the MCP to evaluate protein quality using complex laboratory mass data.

FAQ

Questions Amino Acid Analysis Service owners ask.

01
What kind of data does this MCP analyze?
It handles several types of biochemical data. You can input raw protein primary sequences, mass-based laboratory data from hydrolysates, or general composition data for nutritional checks.
02
Can I find the molecular weight of a protein?
Yes. You can use the analyze_sequence capability to calculate the molecular weight directly from a protein's primary structure sequence. The calculate_molecular_properties capability also provides detailed mass metrics.
03
Is this only for academic research?
No. The MCP is useful for commercial applications, such as vetting nutritional supplements. You can use the get_nutritional_profile capability to check if a protein meets specific demographic standards.
04
What if I only have mass data, not a sequence?
If you only have mass data, use the analyze_hydrolysate capability. It is designed to evaluate protein quality specifically from mass-based laboratory readings.
05
What input does analyze_sequence require?
It requires a single-letter amino acid sequence string representing the protein's primary structure.
06
How can I check if a protein is nutritionally complete?
You can use get_nutritional_profile with the composition data to check the adequacy ratio and completeness for a specific demographic.
07
Can I analyze mass-based laboratory data?
Yes, use the analyze_hydrolysate capability by providing a JSON mapping of amino acid identifiers to their measured mass.

Explore

More in Biochemistry

Connect Amino Acid Analysis Service 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

Calculate molecular properties

Get nutritional profile

Analyze hydrolysate

Analyze sequence

What teams actually run

Protein Source Vetting

Sequencing Validation

Lab Data Interpretation

Material Specification

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

Amino Acid Analysis Service Connector

Claude Desktop

Biochemist

Nutritionist

Research Scientist

What kind of data does this MCP analyze?

Can I find the molecular weight of a protein?

Is this only for academic research?

What if I only have mass data, not a sequence?

What input does analyze_sequence require?

How can I check if a protein is nutritionally complete?

Can I analyze mass-based laboratory data?

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