"A server for exploring information about quantum physics or quantum-related topics" matching MCP servers:

An MCP server for autonomous quantum computing research that searches arXiv, ingests papers, generates ideas, runs and validates experiments, and produces reports.

Enables AI assistants to perform quantum-resistant cryptographic operations using NIST-standardized algorithms including ML-KEM, ML-DSA, and SPHINCS+. Supports key generation, encryption, digital signatures, and security analysis for post-quantum cryptography research and development.

Enables Claude to act as a physics research assistant: explains concepts with dimension-checked equations, runs live simulations, ingests arXiv papers with verbatim citation anchoring, and audits bibliographies for fabricated references.

Enables AI agents to verify physical admissibility of S-parameter models and coupling matrices, preventing reasoning about impossible physics.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

Enables evaluating quantum and deep-tech startups by providing access to a curated dataset, company profiles with computed ratings, and a configurable deal-scoring rubric through MCP tools.

Enables AI agents to spawn, interact with, and orchestrate multiple concurrent terminal sessions via tmux.

Provides a local MCP server for AI-powered web crawling on Windows, enabling agents to directly crawl and extract web content without requiring WSL.

A simple MCP server implementation in TypeScript that communicates over stdio, allowing users to ask questions that end with 'yes or no' to trigger the MCP tool in Cursor.

Enables AI agents to control a Playwright-driven browser through natural-language instructions, including page interaction and live browser task execution.

Local MCP server for A-share stock trading via Tonghuashun, offering account/position queries, buy/sell/cancel orders with risk controls and forced user confirmation; currently simulated with a reserved interface for real broker channels.

An MCP server for searching and downloading books from Library Genesis, supporting EPUB, MOBI, PDF, and more through natural language queries.

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.

Enables Large Language Models to access and manipulate Autodesk Revit models through a pyRevit-based bridge and the Model Context Protocol.

Enables coding agents to add a bounded semantic-judgment layer for routing, ranking, extraction, verification, and escalation, returning typed signals and review recommendations.

Connects MCP clients such as Claude, Cursor, and Codex to a YNAB budget so users can ask about month health, cash position, overspent categories, uncategorized or unapproved transactions, subscriptions, recurring charges, and reconciliation. Read-only unless writes are explicitly enabled, in which case changes are logged with prior state and can be reverted.

A customizable Model Context Protocol server implementation that enables AI models to interact with external tools including weather queries, Google search, and camera control functionality.

A validation layer for AI coding assistants that enforces explicit LLM evaluations on plans, code diffs, and tests to ensure safer and higher-quality code.

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

A-MEM is a self-evolving memory system for coding agents that automatically organizes knowledge into a Zettelkasten-style graph with dynamic relationships, enabling semantic and structural search.