Awesome MCP Servers

Access financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more

An AI-powered system for analyzing and predicting domestic energy consumption. It offers precise forecasts, historical pattern analysis, and personalized optimization recommendations through a conversational interface.

SitemapKit is an API and MCP server that discovers and extracts sitemaps from any website. Developers and AI agents use it to get the full URL list of any domain instantly — useful for SEO audits, web crawling, content indexing, and AI workflows.

A versatile MCP server for RedM development, providing access to RDR3 discoveries, framework documentation, native functions, and database operations.

An MCP server that exposes the Skeleton UI documentation as tools for coding agents.

Skene is a codebase analysis toolkit for product-led growth. It scan your codebase, detect growth opportunities, and generate actionable implementation plans.

Don’t pollute your AI agent’s context with 1,000 skills. Use Skills-ContextManager, a self-hosted web UI for managing AI skills and workflows by providing skills to an AI agent via MCP only when needed. Simply add skills to your library and enable or disable them with a toggle. Choose whether a skill is always loaded into context or dynamically activated when the AI agent determines it’s needed.

Search, discover, and install AI coding skills from SkillsMP marketplace with semantic search

A comprehensive toolkit for AI-driven development, offering file system operations, code analysis, execution, web searching, and system information retrieval.

Provides a sleep/wait tool to add delays between operations, such as waiting between API calls or testing eventually consistent systems.

Pauses the execution of an agent for a specified duration.

A server for secure time-based operations, featuring timing attack protection and timelock encryption.

Intelligent Al routing and integration platform for seamless provider switching

One stop access to all smartbear products

Integrates E2B for secure code execution in cloud sandboxes, designed for Claude AI Desktop.

Fetches and manages prompts from GitHub repositories with intelligent discovery and composition features.

A collection of reference implementations for Model Context Protocol (MCP) servers in Typescript and Python, demonstrating MCP features and SDK usage.

Smriti is a Model Context Protocol (MCP) server that provides persistent, graph-based memory for LLM applications. Built on LadybugDB (embedded property graph database), it uses EcphoryRAG-inspired multi-stage retrieval - combining cue extraction, graph traversal, vector similarity, and multi-hop association - to deliver human-like memory recall.

An agent engine for creating powerful and secure AI Agents powered by Starknet.

Persistent state for AI agent workflows. Save, resume, and replay multi-step workflows across sessions, crashes, and agent handoffs. Free tier included.

Live browser debugging for AI assistants — DOM, console, network via MCP.

Automate web browsers and Electron desktop applications for AI coding agents.

Scan dependencies for vulnerabilities and security issues using the Socket API.

An MCP server for managing API test data and resources.

A tool for structured software development planning, helping to break down projects into tasks and track progress.

Facilitates software development planning through an interactive and structured approach.

An MCP server for Solana development providing basic RPC methods and helpful prompts.

Access Solana documentation context through a simple notes system with resources, tools, and prompts.

Analyze Solana metrics from InfluxDB and generate Grafana dashboards.

Solana wallet health analysis platform and top-notch dev tool. Helps people and agents to recover their SOLs from burner and old wallets super securely. Features a complete trustless recovery flow natively via MCP: preview yields, build unsigned transactions, and sign locally.

Identity infrastructure for AI agents. Evolving behavioral profiles, experiential memory, self-correcting retrieval. Local-first, model-agnostic.