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

Recommends study designs for a research question, states the identifying assumptions to verify, and returns runnable R, Python, or Julia code with a formatted citation for every source, drawn from methodological textbooks, an R package, and research articles on causal inference, econometrics, statistics, and machine learning.

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.

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.

Provides live wait times and office details for all 60 Oregon DMV field offices by scraping the ODOT website, with no authentication required.

Enables MCP clients to search skills.sh, view leaderboards, inspect skill details, retrieve third-party security audits, and browse official curated skills, with install commands for each result.

Enables task management with persistent SQLite storage, along with tools, resources, subscriptions, prompts, and completions over stdio or Streamable HTTP with per-user authentication.

MCP server that serves agent skills (SKILL.md bundles) to any MCP client, exposing them via tools and resources for tool-oriented and resource-aware clients.

This MCP server enables AI agents to interact with Ripar's decentralized registries on Algorand, offering tools for searching agents, checking reputations, listing jobs, auditing settlements, and composing unsigned transactions for payments.

Enables MCP hosts to discover, browse, and load Agent Skills from one or many SKILL.md libraries over the Model Context Protocol, with namespaced libraries, search/list/get tools, progressive disclosure, and a digest-verified pull client for syncing skills to disk.

MCP connector for the ok-wiki knowledge base, enabling search, read, create, edit, history, tags, and asset management via natural language.

Enables agents to discover, read, and use reusable skills stored in public GitHub repositories.

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.

An MCP server that generates skill manifests from GitHub skills directories and provides tools to recommend and download AI agent skills.

Enables AI clients to discover, search, retrieve, and read supporting files from a centrally published, versioned skill registry through four read-only MCP tools.

Enables MCP-compatible harnesses to load and invoke Claude Code style skills from SKILL.md folders, including listing and reading skill files with user-approval gating for model-invocation restrictions.

Enables querying Project SEKAI game data, including cards, characters, events, music, and gacha, through a unified MCP endpoint with extensible skill modules.

A multi-agent system for code rules management using MCP, supporting search, generation, and architectural validation through specialized agents.

Enables ChatGPT users to discover and retrieve skill instructions from a GitHub repository through read-only tools that list available skills and fetch individual SKILL.md contents.

A server that serves reusable markdown skills (instructions, playbooks, references) to agents, with a web UI for editing and organizing skills, profiles, and both HTTP and stdio transports.

Enables Claude/MCP agents to search, list, get details, and generate install commands for skills, MCP servers, and connections from the DFL Forge skills registry.