Best LLM AI Skills & MCP Servers

Agent Model Layer — One-line LLM access with built-in memory. 29 providers, 18 embeddings, zero lock-in.

Change impact analysis — given a file or symbol, find what files are affected by a change.

MCP server for interacting with CodeRabbit AI reviews on GitHub pull requests. Enables LLMs to analyze, implement, and resolve CodeRabbit suggestions programmatically.

Vecto Model Context Protocol server — exposes /api/v1 as MCP tools + resources for Claude Code, Cursor, Claude Desktop, etc.

Project onboarding workflow — auto-discover project structure, conventions, and key files for a new contributor or AI agent.

MCP (Model Context Protocol) integration for typia

Run Claude, Codex, Gemini, Forge, and OpenCode CLIs through MCP with background jobs

Full-text search with TF-IDF ranking — index files, search with relevance scoring, suggest completions.

Hello-world brick — returns the message it receives. Serves as a smoke test for the FocusMCP pipeline.

Token budget management — estimate and optimize token usage for AI agents.

Knowledge graph export — generate HTML, Mermaid, GraphML, Cypher, Obsidian, and wiki formats.

Composite brick — orchestrates smartread, cache, compress, tokenbudget, and overview to deliver optimal context within a token budget.

Multi-source research — collect info from multiple files/sources, synthesize findings, validate consistency.

Shell command execution — run commands, background processes, kill, and compress output.

API route detection — scan projects for Express, Fastify, Next.js, SvelteKit route definitions.

Model Context Protocol (MCP) server for json2video API integration.

Model Context Protocol server for FHIR — generated tool surface for any LLM upstream

Write files — create, overwrite, append.

Spec-driven toolkit for AI agents — skills, rules & prompts via MCP

Graph clustering — detect communities, explain groupings, identify architecture layers.

An MCP server enabling LLMs to write integration tests through live test environment interaction

Pack files into a compressed context bundle — reduce token usage by extracting only signatures, maps, or full content.

High-performance API and Model Context Protocol (MCP) server for validating Mermaid diagrams with comprehensive security features, multiple transport options, and enterprise-grade capabilities

Task dispatch queue — send tasks, manage queue, cancel, check status for multi-step workflows.