Best LLM AI Skills & MCP Servers

The Autonomous Brain for your codebase — compiled architectural knowledge for AI-assisted development.

Production payment infrastructure for AI agents — real Stripe/Paystack/Lightning rails, autonomous shopping with escrow, Agent Credit Score (300-850), Ed25519 identity, behavioral finance, Merkle integrity, anomaly detection, human-in-the-loop approval. B

Sandboxed code execution — run JavaScript/TypeScript snippets in an isolated VM context.

MCP server for n8n API integration

AI team coordination — loads dispatch, parallel, debate, review, agent for multi-agent orchestration.

Inline, extract, and move refactoring — inline variables/functions, extract code to new functions, move between files.

Structured decision-making — define options, analyze tradeoffs, recommend, and record decisions.

JD Codec — local MCP proxy that compresses browser-agent snapshots ~80%+ via a cloud codec, with on-device PII redaction. The privacy-first connector for Playwright MCP and any MCP-capable agent.

Mercury Banking MCP server with full Invoicing API support — accounts, transactions, recipients, customers, invoices (one-shot + recurring), webhooks.

File access heatmap — track read/write patterns, detect hot and cold files.

Track and report token savings — compare FocusMCP usage vs naive full-read, trend over time, ROI.

A comprehensive Model Context Protocol (MCP) server that provides web performance auditing, accessibility testing, SEO analysis, security assessment, and Core Web Vitals monitoring using Google Lighthouse. Enables LLMs and AI agents to perform detailed we

Agent-driven knowledge base — immutable raw sources + mutable wiki + self-checking lint. MCP server, no LLM needed.

An MCP server that provides tools for checking Maven dependency versions

Semantic search using TF-IDF vector space — cosine similarity, intent matching, document similarity.

Task management for multi-agent workflows — create tasks, assign to agents, track status, mark complete.

Parallel execution coordination — run tasks concurrently, collect results, merge outputs, handle timeouts.

Model Context Protocol (MCP) server for database queries - enables AI assistants like GitHub Copilot to execute read-only SQL queries against Oracle databases

A Model Context Protocol server that acts as an intelligent conversation state manager and development guide for LLMs, featuring comprehensive long-term memory with persistent project artifacts

Zephex MCP — codebase intelligence tools for AI coding agents. stdio server that runs locally, reads your project files, and proxies AI calls to the Zephex backend.

Read-only Model Context Protocol server for Vetroscope — gives LLMs context on your tracked time, projects, and goals from your local Vetroscope SQLite database.

Typed SDK for building FocusMCP bricks — defineBrick() helper with full type safety for tools, manifests, and bus handlers.

Local-first, LLM-agnostic memory layer for AI assistants. Run via npx @psraghuveer/memento.

CLI for MCP Mesh — build distributed AI agents with auto-discovery, dependency injection, and LLM integration