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"Methods for Acquiring Basic Skills or Abilities" matching MCP servers:

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    Transform any AI agent into a domain expert by giving it access to modular, reusable skills through the Model Context Protocol. Brings Claude's Skills format to any MCP-compatible agent, allowing you to create skills once and use them everywhere.
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    YouTube Skills (TranscriptAPI) is the production API for extracting, searching, and analyzing YouTube content at scale. While other tools break when YouTube changes or cap you at 100 requests/day, TranscriptAPI serves 15 million transcripts monthly at 49ms median response time.
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    MIT
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    A simple MCP server built with FastMCP for experimentation and learning purposes. Includes basic web tools like article fetching and serves as a human-readable template for building custom MCP servers.
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    AGPL 3.0
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    Provides a suite of deterministic tools for time calculations, math, and string manipulation that LLMs often struggle to perform accurately. It also includes utilities for secure randomness, data validation, and basic network operations like DNS lookups.
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    Basic Memory is a knowledge management system that allows you to build a persistent semantic graph from conversations with AI assistants. All knowledge is stored in standard Markdown files on your computer, giving you full control and ownership of your data. Integrates directly with Obsidan.md
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    AGPL 3.0
    • Apple
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    Integrates with the skills.sh ecosystem to allow AI coding agents to discover, install, and manage reusable instruction sets. It enables autonomous agents to extend their capabilities with structured skill discovery and full lifecycle management through the Model Context Protocol.
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    Apache 2.0
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    Connects AI coding agents to the SkillsMP marketplace, allowing users to search, read, and install over 8,000 community-made skills. It enables agents to gain new capabilities either through on-the-spot instruction or permanent installation without requiring an API key.
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    Blockchain RPC via DRPC. Exposes eth_call, eth_getBalance, gas estimation, and other JSON-RPC methods as MCP tools across 100+ blockchains
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    A Model Context Protocol (MCP) server that provides intelligent search capabilities for discovering relevant Claude Agent Skills using vector embeddings and semantic similarity. This server implements the same progressive disclosure architecture that Anthropic describes in their Agent Skills enginee
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    374
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    Provides AI coding assistants with access to Google's Android development skills library through an MCP server. Enables developers to discover, search, and apply Android best practices directly within their coding environment without manual copying.
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    Provides dynamic, context-aware code assistant skills through hybrid RAG (vector + knowledge graph), enabling runtime skill discovery, automatic toolchain-based recommendations, and on-demand loading from multiple git repositories.
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    • Apple
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    Enables intelligent discovery and management of Claude Skills through semantic search, ratings, favorites, and community curation. Provides tools to search, upload, rate, and organize skills with natural language queries and comprehensive metadata.
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    Enables intelligent semantic search and discovery of relevant Claude Agent Skills using vector embeddings. Provides access to curated scientific skills and supports both GitHub repositories and local skill directories.
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    374
    MIT
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    A production-ready MCP server that enables AI assistants to manage enterprise Active Directory environments through 45 specialized tools for users, groups, and GPOs. Its multi-client architecture allows for the secure management of multiple AD domains from a single codebase using natural language commands.
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    MIT
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    Provides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.
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    Apache 2.0
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    Enables discovery and installation of agent skills from curated GitHub repositories, allowing users to search large collections and inspect skill contents directly. It supports downloading skills locally and provides grounded scaffolds for creating new skills based on existing patterns.
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    MIT
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    An AI-centric MCP server that enables automated Xilinx Vivado workflows, including project management, synthesis, implementation, and timing analysis. It allows AI agents to drive hardware design processes while integrating directly with the official Vivado GUI for visual context.
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    Automatically crawls documentation websites, converts them to organized markdown files, and generates condensed cheat sheets. Intelligently categorizes content into tools/APIs and provides local-first access to downloaded documentation.
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    GPL 3.0
    • Apple
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    MCP-ORTools integrates Google's OR-Tools constraint programming solver with Large Language Models through the MCP, enabling AI models to: Submit and validate constraint models Set model parameters Solve constraint satisfaction and optimization problems Retrieve and analyze solution
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    MIT
    • Apple
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    Enable Claude (or any other LLM) to interactively debug your code (set breakpoints and evaluate expressions in stack frame). It's language-agnostic, assuming debugger console support and valid launch.json for debugging in VSCode.
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    Enables AI agents to interact seamlessly with Splunk environments through 20+ tools for search, analytics, data discovery, administration, and health monitoring. Features AI-powered troubleshooting workflows and supports multiple Splunk instances with production-ready security.
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    Apache 2.0
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    • Linux
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    Helps users decide what to eat by randomly selecting meals from a database of 100+ options or a custom list using an interactive spinning wheel widget. It supports cuisine filtering and provides an engaging visual interface to resolve mealtime indecision.
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    MIT
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    A minimal template MCP server demonstrating basic tools, resources, and prompts functionality, built with Smithery SDK for quick prototyping and deployment.
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    A WebSocket-based MCP server that provides basic echo functionality and secure database querying capabilities. Includes Dokku deployment configuration for easy hosting with PostgreSQL integration.
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    A minimal Model Context Protocol server template built with Smithery SDK that demonstrates basic tools, resources, and prompts functionality for getting started with MCP development.
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    A minimal demonstration MCP server showcasing basic tools, resources, and prompts functionality. Built as a template for learning and starting new MCP server projects with Smithery SDK.
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    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.
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    Apache 2.0
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    A minimal template MCP server demonstrating basic tools, resources, and prompts functionality. Includes example implementations like a hello tool, history resource, and greet prompt for learning MCP development.
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    A basic MCP server example that provides simple arithmetic tools (addition and subtraction) and personalized greeting resources. Serves as a foundation for learning MCP server implementation and development.
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    A basic MCP server implementation using the FastMCP framework that provides utility tools for greetings and mathematical calculations. It is designed to demonstrate tool integration for AI-assisted development workflows like Cline.
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    MCP server for AI agents -- fetch any URL with full JavaScript rendering (Playwright/Chromium) and convert to clean, token-efficient markdown. Works on React, Vue, Angular, and any JS-heavy page. Includes web search, batch fetching, binary file download, LRU cache, SSRF protection, and structured output.
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    MIT
    • Apple
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    A minimal Model Context Protocol server template demonstrating basic implementation of tools, resources, and prompts built with Smithery SDK.
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    Apache 2.0
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    A minimal MCP server example that provides basic utility tools including text echo and current time retrieval. Serves as a simple starting point for building MCP servers with fastmcp.
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    A minimal Model Context Protocol server template demonstrating basic implementation of tools, resources, and prompts. Serves as a starting point for building custom MCP servers with the Smithery SDK.
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    A minimal demonstration server showcasing MCP protocol capabilities including tools, resources, and prompts with basic examples like hello world functionality.
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    MIT
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    A basic TypeScript implementation of the Model Context Protocol (MCP) server designed as a starting point for MCP development. Provides a minimal foundation for building custom MCP servers with stdio configuration for local integration with VS Code and GitHub Copilot.
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    A minimal Model Context Protocol server demonstrating basic MCP capabilities with example tools, resources, and prompts. Built as a starting template for developers to create their own MCP servers using the Smithery SDK.
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    ISC
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    MCP for Azure DevOps Boards is a MCP server that lets your favourite AI browse, query and update Azure DevOps work items as if it were a project manager. Written in Rust and optimized for tokens usagem, It runs via stdio or HTTP mode and uses standard Azure authentication with az login.
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    MIT
    • Apple