Best LLM AI Skills & MCP Servers

Model Context Protocol (MCP) server for Kubb, enabling AI assistants to generate code from OpenAPI specifications.

Read-only MCP server for UniFi Network controllers

Intelligent file reading — multiple modes to minimize token usage.

File and repo structure outline — list exported symbols and directory trees without reading full content.

Precise code editing — replace function bodies, insert before/after, safe delete with dependency check.

Code modification toolkit — loads symbol, rename, codeedit, inline, textsearch for automated refactoring.

Complete codebase intelligence — loads treesitter, symbol, outline, callgraph, depgraph, refs.

Agent Output Guard MCP Server - Validate and verify data from other agents before acting on it. Zero LLM costs, pure computation. Solves coordination failures in multi-agent systems.

Powerful MCP server with Tree-sitter WASM parsers for 100% AST accuracy. Zero native dependencies. Production-ready with persistent caching, structured logging, file watching, fuzzy search, rate limiting, file locking, and ReDoS protection. Supports TypeS

Node.js/TypeScript MCP server for Atlassian Confluence. Provides tools enabling AI systems (LLMs) to list/get spaces & pages (content formatted as Markdown) and search via CQL. Connects AI seamlessly to Confluence knowledge bases using the standard MCP in

Convert between formats and units — unit conversion, encoding, format transformation, naming conventions.

List directory contents — entries, tree, glob, find.

Project-level understanding without reading all files — detect framework, language, conventions, and architecture.

Format data into various output formats — pretty JSON, YAML, markdown, ASCII tables.

Text search and replace across files — regex search, multi-file replace, grouped results.

Package version intelligence — latest version, diff, changelog, audit across npm/pypi/github/gitlab.

A command-line interface for MCP servers. curl for MCP.

Developer tools — loads shell, sandbox, batch for command execution and scripting.

Read files — full, head, tail, line range, encoding detection.

Complete filesystem operations — loads fileread, filewrite, filelist, fileops, filesearch.

File comparison — diff, patch, delta between files or versions.

Call graph analysis — callers, callees, call chains.

Dependency graph analysis — imports, exports, circular deps, fan-in/out.

File operations — move, copy, delete, rename.