Is this MCP for general chemistry or specific fields?

This MCP is designed for specialized chemical informatics. It focuses specifically on predicting the acidity and basicity of molecular structures, making it useful in drug discovery and biochemistry.

What kind of data does it provide?

It provides calculated pKa values, an assessment of conjugate stability, and a classification of the molecule's acid-base strength. It also identifies the functional groups responsible for these properties.

Do I need to write code to use the capabilities?

No. You interact with the MCP using natural language through your AI client. You simply ask your agent to perform the analysis, and the MCP handles the technical execution.

Can it handle complex molecules?

Yes, the MCP analyzes molecular structures to evaluate properties like electronic stability and pKa, making it suitable for complex organic chemistry problems.

What kind of molecular structures can I use?

You can provide molecular structures using SMILES notation or standard chemical formulas.

How does the capability handle resonance effects?

The analyze_conjugate_stability capability specifically evaluates delocalization extent to account for resonance stabilization.

Can I classify a molecule's strength directly?

Yes, you can use the classify_strength capability by providing a pKa value and specifying if you are evaluating a base or an acid.

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Connect Acid Base Strength Predictor 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. Get Precise pKa Values and Stability Analysis Instantly

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 Acid-Base Predictor.

01
Analyze conjugate stability
Evaluates the electronic stability of the molecule's conjugate species
02
Classify strength
Categorizes a molecule into a standard acid-base strength class
03
Get structural influence
Identifies specific functional groups contributing to the acid-base properties
04
Predict pka
Determines the predicted pKa value of a given molecular structure

Real work

What teams actually run

Drug Optimization

A medicinal chemist needs to modify a lead compound. Use the MCP to predict how a new functional group will shift the pKa, ensuring better bioavailability.

Reaction Feasibility

You are designing a synthesis step. Use the MCP to analyze the conjugate stability of the reactants to confirm the reaction is chemically viable.

Academic Literature Review

A student is comparing acid-base properties across several compounds. Use the MCP to quickly classify and compare the strength tiers of the molecules.

Structure-Activity Relationship (SAR)

You suspect a specific part of a molecule is responsible for its acidity. Use the MCP to isolate and confirm the structural influence of that group.

One connector, every AI

Acid-Base Predictor 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 Acid-Base Predictor 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

919ms average. Fast in production.

Acid-Base Predictor is checked daily against the live service.

Daily averagePeak 1149ms

Oct 3Today

Fastest day: 772ms
Slowest day: 1149ms
14-day trend: Slowing+12%

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 Acid-Base Predictor, so you can see the experience inside your AI.

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

Acid-Base Predictor Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_QKPO0yxHR8HEcYANXMBbvVPAR26dG68dJu6xiVti/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 — Acid-Base Predictor capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "acid-base-strength-predictor-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_QKPO0yxHR8HEcYANXMBbvVPAR26dG68dJu6xiVti/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 Acid-Base Predictor in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Acid-Base Predictor owners hand off.

If you work with molecular structures, this MCP is for you. It gives you the chemical data you need to move past guesswork and into precise predictions. It's essential for anyone needing to understand how structure dictates chemical behavior.

01
Medicinal Chemist
Use this to predict how structural changes will affect a drug candidate's pKa.
02
Biochemist
Run analyses to understand the acid-base behavior of biological macromolecules.
03
Academic Researcher
Quickly calculate and compare pKa values for novel compounds in your research.

FAQ

Questions Acid-Base Predictor owners ask.

01
Is this MCP for general chemistry or specific fields?
This MCP is designed for specialized chemical informatics. It focuses specifically on predicting the acidity and basicity of molecular structures, making it useful in drug discovery and biochemistry.
02
What kind of data does it provide?
It provides calculated pKa values, an assessment of conjugate stability, and a classification of the molecule's acid-base strength. It also identifies the functional groups responsible for these properties.
03
Do I need to write code to use the capabilities?
No. You interact with the MCP using natural language through your AI client. You simply ask your agent to perform the analysis, and the MCP handles the technical execution.
04
Can it handle complex molecules?
Yes, the MCP analyzes molecular structures to evaluate properties like electronic stability and pKa, making it suitable for complex organic chemistry problems.
05
What kind of molecular structures can I use?
You can provide molecular structures using SMILES notation or standard chemical formulas.
06
How does the capability handle resonance effects?
The analyze_conjugate_stability capability specifically evaluates delocalization extent to account for resonance stabilization.
07
Can I classify a molecule's strength directly?
Yes, you can use the classify_strength capability by providing a pKa value and specifying if you are evaluating a base or an acid.

Explore

More in Science

Connect Acid-Base Predictor 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

Analyze conjugate stability

Classify strength

Get structural influence

Predict pka

What teams actually run

Drug Optimization

Reaction Feasibility

Academic Literature Review

Structure-Activity Relationship (SAR)

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

Acid-Base Predictor Connector

Claude Desktop

Medicinal Chemist

Biochemist

Academic Researcher

Is this MCP for general chemistry or specific fields?

What kind of data does it provide?

Do I need to write code to use the capabilities?

Can it handle complex molecules?

What kind of molecular structures can I use?

How does the capability handle resonance effects?

Can I classify a molecule's strength directly?

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