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Connects AI models to MasterGo design tools, enabling retrieval of DSL data, component documentation, and metadata from MasterGo design files for structured component development workflows.

MasterMCP

Aggregates multiple MCP servers behind a single, secure endpoint with unified tool/resource discovery, OAuth authentication, and resilient request routing. Enables users to manage and interact with multiple MCP backends through one centralized interface with load balancing and circuit breakers.

A bridge server that converts stdio protocol to streamable-http protocol, allowing clients to interact with MCP services over HTTP.

An intelligent Model Context Protocol server that enhances GitHub Copilot with specialized Drupal development capabilities, offering project analysis, module exploration, technical debt assessment, and Lando environment management in both English and French.

Enables AI assistants to interact with Metabase for database operations, SQL queries, dashboard management, and analytics automation.

An AI-powered eldercare platform that enables AI agents to monitor passive sensors, generate personalized care plans, and access specialized healthcare knowledge bases. It provides tools for passive monitoring of senior activities, medical document OCR, and real-time alert management for caregivers.

Enables browsing Material Design 3 documentation by listing top-level sections and retrieving page content as Markdown.

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.

The Materials Project MCP Server is server that provides programmatic access to the Materials Project database. It enables LLMs, to search, analyze, and retrieve up to date materials science data.

Provides basic mathematical operations (addition, subtraction, multiplication, division) through a calculate tool. Supports both stdio and HTTP/SSE transport modes.

The MCP protocol server based on JSXGraph provides 13 mathematical visualization tools suitable for educational mathematics, engineering, and scientific applications.

Enables AI assistants to interact with Mathem.se, a Swedish online grocery store, allowing users to search for ingredients, add items to their shopping basket, and manage recipes through natural language.

Provides mathematical operations through MCP, enabling addition and multiplication of number lists with comprehensive input validation and error handling.

Provides secure mathematical computation capabilities including expression evaluation, symbolic math (derivatives, simplification), matrix operations, statistics, and unit conversion, with multi-tier acceleration through WebAssembly and WebWorkers for high-performance calculations.

Provides GPU-accelerated scientific computing capabilities including symbolic mathematics, quantum wave mechanics simulations, molecular dynamics, and neural network training through four specialized MCP servers.

Provides basic mathematical operations (addition, subtraction, multiplication, division) through a Model Context Protocol server. Enables MCP-compatible clients like chatbots to perform calculations by sending structured math requests.

Enables interactive MATLAB development by allowing users to execute scripts and specific code sections, manage workspace variables, and capture generated plots. It integrates with the MATLAB Python Engine to provide persistent execution context for MCP-compatible clients.

Matomo Js

A modern JavaScript/TypeScript client library for Matomo Analytics.

Enables AI models to interact with Matomo analytics through a complete MCP server implementation. Provides tools for retrieving analytics data, managing sites, and generating reports with zero configuration setup.