"author:Michael-Obele" matching MCP servers:

Enables AI agents to read and edit video projects through OpenScreen's editor by exposing six consolidated tools (read, trim, clip, effect, caption, apply) instead of twenty-five, cutting token usage while preserving every upstream operation. Bundles an Agent Skill and an ordered batch apply action so agents can cut first, then add effects, captions, and modifiers to a live timeline.

MCP server that provides real-time Go documentation and expert programming assistance by fetching from pkg.go.dev.

Provides real-time access to shadcn-svelte component documentation and developer utilities using web scraping.

A self-hosted knowledge-graph memory server for AI agents, providing persistent memory via 7 MCP tools, automatic instructions, and a web dashboard, enabling AI assistants to remember and retrieve information across sessions.

DocShark is an MCP server that scrapes and indexes documentation websites, enabling AI assistants to perform full-text searches on a local knowledge base built from public docs.

Provides AI assistants with real-time access to official Tauri documentation from tauri.app, including guides, APIs, plugins, and search capabilities with intelligent caching and metrics.

A TypeScript template for building remote Model Context Protocol servers with modern tooling including Vite, Express, ESLint, Prettier, and Docker support. Includes an example echo tool to demonstrate MCP tool implementation.