"Crystal" matching MCP servers:

Read-only procurement server for KT Crystals that searches a verified catalog of 104 crystal bracelet SKUs and provides traceable sourcing checklists for loose beads, accessories, and raw materials.

Provides AI agents with a persistent internal dynamical state and emotional reservoir that evolves based on text interactions. This server enables agents to maintain a consistent affective substrate across sessions through tools that track phase coherence and emergent emotional vibes.

A TypeScript MCP server that enables AI assistants to create, manage, and manipulate 'crystals' - structured data containers for storing complex analysis, code, and knowledge that can be exported and reimported across different AI conversations.

Enables AI agents to maintain persistent memory across sessions by capturing conversations, extracting durable knowledge, and injecting relevant context, supporting various MCP-compatible platforms.

Enables querying crystallographic data from the Crystallography Open Database (COD) via natural language or direct tool calls, allowing AI agents to retrieve and analyze crystal structure information.

Provides AI assistants with access to materials science databases, enabling search and analysis of material properties, crystal structures, phase diagrams, and elastic properties through the Materials Project API.

Exposes a 108-dimensional crystal hologram distributed brain as an MCP server, enabling navigation of a complex nervous system with 81 tools and 4 element-specific lobes for structure, dynamics, observation, and compression.

Enables CIF inspection, d-spacing and powder pattern calculations, triacylglycerol polymorph fingerprinting, and structure comparison through pymatgen.

MCP server for Crystallize headless commerce. Gives AI agents read and write access to your catalogue, products, shapes, orders, customers, and tenant config.

An MCP server for deconstructing and analyzing Metal-Organic Framework (MOF) structures, including SBU and ligand identification, guest removal, and COF stacking analysis. It enables AI agents to perform automated chemical informatics and structural characterization on crystal structures via CIF files.

A Model Context Protocol server that provides access to materials databases through the OPTIMADE API, with focus on Google DeepMind's GNoME dataset containing millions of predicted crystal structures.

An educational MCP server that wraps the Materials Project API, exposing tools to search chemical systems, get material summaries, find semiconductors by band gap, and retrieve crystal structure facts.