MCP For Claude Marketplace
Metal Complex Stability Predictor

Metal Complex Stability Predictor MCP Connector for Claude

A+

Predict thermodynamic stability of metal-ligand complexes using HSAB theory and chelate effect analysis.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

This MCP server provides computational tools to predict the thermodynamic stability of metal-ligand complexes. By applying Hard and Soft Acids and Bases (HSAB) theory, it determines the compatibility between metal ions and ligands. The server can calculate the stability constant (Log K), evaluate the likelihood of complex formation under specific pH conditions, and quantify the stability boost provided by the chelate effect. Use predict_stability_constant to find Log K values, evaluate_complex_formation to check formation likelihood at specific pH levels, get_ligand_preferences to rank ligand compatibility, and analyze_chelate_impact to measure the entropic benefits of polydentate ligands.

chemistrythermodynamicsmetal-complexeshsab-theorychelate-effect

4 tools expose this connector's capabilities to your AI agent.

evaluate_complex_formation

Determines if a complex is likely to form under given environmental conditions

predict_stability_constant

Calculates the predicted thermodynamic stability (Log K) for a specific metal-ligand combination

analyze_chelate_impact

Quantifies how much the stability of a complex is increased specifically due to the chelate effect

get_ligand_preferences

Identifies which ligands in a provided set are most compatible with a specific metal ion

See how to talk to your AI agent using Metal Complex Stability Predictor.

What is the predicted stability constant for a Copper(II) complex with ethylenediamine?

The predicted stability constant (Log K) for the Copper(II) complex with ethylenediamine is approximately 10.5, with a significant stability increase due to the chelate effect.

Will a Zinc complex form with ammonia at pH 7?

Yes, the complex is likely to form with a high confidence score at pH 7.

Which ligands are preferred by Iron(III)?

Iron(III) prefers hard ligands such as Oxygen-donor ligands due to its high charge and small size.

The tool uses `analyze_chelate_impact` to quantify how much stability increases when a polydentate ligand replaces monodentate ligands, driven by the increase in system entropy.

Related Connectors

Reactor Network Synthesis

Reactor Network Synthesis MCP

4 tools Official

Optimizes reactor configurations, volumes, and sequences to maximize selectivity and economic yield.

A+ View details →
Polymer Structure Analyzer

Polymer Structure Analyzer MCP

4 tools Official

Predict physical properties of polymers from chemical architecture.

A+ View details →
Precipitation Prediction Model

Precipitation Prediction Model MCP

4 tools Official

Predict chemical precipitation risks and thresholds based on ion concentrations and Ksp values.

A+ View details →
Scale Prediction Model

Scale Prediction Model MCP

4 tools Official

Predicts mineral scale formation in oilfield operations using water chemistry and environmental data.

A+ View details →