"Using VASP for First-Principles Materials Calculations" matching MCP servers:

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.

An MCP server that provides governed metric definitions and provenance-labeled memory for materials test labs, enforcing quality system discipline on agent interactions.

Exposes materials-science data, simulations, workflows, and computing capabilities to MCP hosts through a plugin-agnostic, contract-governed engine with progressive capability discovery, bounded context, scoped permissions, and provenance-traceable artifacts. Concrete integrations such as a real OPTIMADE provider plugin stay separately packaged, so servers remain focused and evidence-backed rather than unrestricted.

Enables AI agents to generate teaching materials such as PPTs, handouts, lecture scripts, mind maps, teaching video storyboards, and Manim math animations, plus run quality checks and language normalization through 15 MCP tools.

Enables fetching weather forecasts for the USA via NWS API and for Israel via browser automation using Playwright.

Enables AI models to answer time-related questions by providing tools for current time and elapsed time.

Enables querying and retrieving materials data from the Materials Project via MCP tools, supporting search, lookup, comparison, and export.

Enables developers to enforce versioned data contracts for MCP tool schemas, with additive-only evolution checked in CI, SHA-256 pinning against rug pulls, and signed handles instead of protocol sessions.

MCP server for BIOVIA Materials Studio 2023 on Windows, providing controlled preparation of Forcite and CASTEP inputs, model building, and LAMMPS/VMD pre-processing with reproducible, auditable workflows and strict scientific boundaries.

Enables LLM clients to access crop yield predictions from RGB imagery, topic-based PDF literature, and soil lab/moisture CSV data.

Exposes locally-built AI tools to Claude, enabling article summarization, promo generation, and semantic search over an Obsidian vault.

Enables AI clients to browse, read, update, and search a document store through tools, resources, and prompts, including summarizing and comparing documents via URI-addressable resources and reusable prompt templates.

Ad-free web scraping and search exposed as 3 MCP tools. fetch_page, fetch_pages_batch, search_web. Works with Claude Desktop, Cursor, Cline.

Enables AI-driven 3D modeling and scene creation in Blender, allowing LLMs to create, modify, and manipulate objects, materials, and assets through natural language.

A tool for querying and analyzing materials data from the Materials Project database using natural language prompts, enabling materials scientists to explore properties, structures, and compositions of materials through conversational interfaces.

Enables privacy-preserving document retrieval by exposing read-only search tools over MCP, allowing agents to query local vector and structured indexes without sending data to the cloud.

Serves as a Model Context Protocol server that provides tools to look up Amazon Leadership Principles and access video transcripts for integration with Amazon Q CLI.

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.

Unofficial Powershell MCP server

Provides AI assistants with specialized tools to interact with NIST's Open Security Controls Assessment Language (OSCAL) framework. It enables agents to retrieve schemas, explore models, and generate valid OSCAL documentation for security compliance automation.