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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.

A Model Context Protocol server that provides tools to interact with Matomo Analytics API, enabling management of sites, users, goals, segments, and access to analytics reports through a MCP interface.

Enables interaction with Mattermost workspaces to manage channels, messages, threads, reactions, and user profiles via the REST API. This server allows AI models to perform both read and write operations, such as posting messages and retrieving channel history, within a trusted environment.

Enables sending messages to Mattermost channels through webhooks via MCP protocol. Supports multiple webhook channels with simple YAML configuration and integrates seamlessly with Claude Desktop.

Mattsilv MCP

sharing what I've learned with mcp servers on mac os x.

An AI-powered financial officer that makes autonomous trading decisions, provides strategic insights and risk management for the Mother Haven ecosystem. Integrates with trading bots and DEX platforms through MCP capabilities while maintaining personality and memory through git-first persistence.

An MCP server for managing Maven dependency versions using direct metadata parsing from Maven Central. It provides tools to fetch latest stable versions, list version history, and compare versions with upgrade recommendations.

An API server that enables interaction with IBM Maximo resources like Assets and Work Orders, providing tool functions to retrieve and list asset information.

Provides a comprehensive reference tool for Max/MSP and Max4Live with Japanese language support, enabling natural language searches for objects, patching patterns, and packages. It allows users to retrieve technical details, glossary terms, and implementation guides directly within Claude Desktop.

Provides an HTTP API for Claude Code using a native MCP channel to enable stable message exchange without terminal screen-scraping. It allows users to programmatically send messages, retrieve conversation history, and stream real-time events via standard web protocols.

An MCP server for the MBTI personality test, supporting AI assistants to guide users through the personality test and provide result analysis.

A standalone Node.js MCP server designed for Memory Bank workflows that enables users to generate project-specific documentation from codebases. It provides tools for creating execution instructions and retrieving structured documentation context, specifically for the iOS stack.

My own Server

Enables creation, management, and deployment of n8n workflows with enhanced context and automation capabilities. Features code extraction, automatic documentation, template generation, and intelligent project organization for streamlined workflow development.

Provides grounded answers for writing Minecraft mods, targeting 1.8.9 and 1.21.10+ eras with curated and live tools for mappings, APIs, and mixins.

A foundational implementation of a Model Context Protocol (MCP) server designed for educational purposes. It demonstrates the complete interaction between an LLM, an inference engine, and a client during an agentic call.

A lightweight implementation that provides the simplest way to set up an MCP server and client, requiring just two lines of code to create a fully functional system.

An MCP server that bridges the physical world and AI models by enabling natural language control of IoT hardware via the MQTT protocol. It supports real-time device monitoring, command publishing, and response handling for seamless integration between AI clients and physical devices.