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Enables LLMs to provide voice status updates via OpenAI TTS, ideal for background task progress reports.

Abaqus MCP Server enables AI assistants to interact with running Abaqus/CAE finite element analysis software through GUI automation. Built with Python using pywinauto and the FastMCP framework, it provides tools to execute Python scripts within an existing Abaqus session via the 'File -> Run Script...' menu and retrieve message log information from the Abaqus interface. The implementation uses window detection and UI control manipulation to automate interactions that would normally require manual input, making it valuable for engineers and analysts who want to programmatically control Abaqus/CAE operations through AI assistance without modifying the core application.

An MCP server that provides access to HackerNews data including stories, items, comments, and user profiles via tools, built with FastMCP.

Enables querying the Tribunal TJMA Nada Consta official source for certificate checks via a read-only MCP tool, with prepaid credit per consultation.

MCP server for consulting Brazilian labor court certificates (CEAT) from Tribunal Regional do Trabalho da 7ª Região, with a single read-only tool. Enables querying official labor lawsuit certificates via natural language in any MCP-compatible client.

Connect ChatGPT to a free MySQL 8 database via MCP — query and write real tables from any chat

Real-time weather query MCP server providing current weather for cities via wttr.in, with support for listing built-in city mappings and server metadata.

Enables interaction with MkDocs documentation through the MCP protocol, allowing AI assistants to read, search, and retrieve documentation content from MkDocs projects.

MCP server that wraps Drain3 for streaming log template mining, read-only matching, parameter extraction, and model persistence, exposing tools and resources to train on logs and query learned templates.

Enables interaction with the Centrapay payments API for testing NZ payment flows, including creating, managing, and settling payment requests through natural language.

Provides real-time maritime weather data, tropical cyclone warnings, and route calculations for AI agents.

Model Context Protocol Server for the Mouser Search Api

Provides programmatic control over VMware Workstation Pro virtual machines through three distinct interfaces. The REST API client enables modern web-based operations, while the vmrun wrapper offers traditional command-line functionality for power management, snapshots, and guest OS operations. The vmcli integration supports advanced configuration management including chipset settings, disk management, and network configuration. Designed for automated testing pipelines, development environment provisioning, and infrastructure management workflows.

Enables users to manage a personal Kanban board with tasks, subtasks, notes, and code clips using natural language via the Model Context Protocol.

A simple MCP server providing ping, echo, and TCP host health-check tools with latency measurement. It enables transport testing and real network connectivity checks through natural language.

Lets AI assistants use MetaModel's formula engine for certified computation, turning published calculators, pricing tools, and engineering models into AI-callable tools with no hallucinated math.

A French administration MCP server that enables AI agents to access official public data including communes, geocoding, property risks, and energy performance certificates (DPE) for real estate evaluation.

Local MCP server that provides current weather, forecast, summary, and weather comparison using Yandex Weather API with caching and validation.

This video editing MCP server, developed by Kush Agrawal, enables AI assistants to perform a wide range of video editing operations using FFmpeg. Built with Python and leveraging the MCP framework, it provides a single powerful tool, 'execute_ffmpeg', which validates and executes FFmpeg commands with real-time progress tracking. The server supports operations like trimming, merging, format conversion, speed adjustment, audio manipulation, and subtitle addition. By abstracting complex FFmpeg operations into a natural language interface, it allows AI systems to easily manipulate video content. This implementation is particularly useful for automating video editing tasks, content creation, and media processing workflows, making it suitable for applications in video production, social media content generation, and automated video analysis.

Provides project documentation, database schema, business rules, and search capabilities as context for Claude Code, enabling more accurate code generation and query writing.