AI & ML

A temporal memory system for AI that mimics human forgetting curves, featuring automatic entity extraction, reinforcement through use, and a two-layer storage architecture (STM and LTM).

ExpoSnap is an MCP server that enables AI assistants to capture and analyze screenshots from React Native and Expo applications during development. It integrates with IDEs like Claude, Cursor, and VS Code through a wrapper component to facilitate AI-powered mobile UI debugging and creation.

MCP server giving AI agents full access to Julia's runtime via a live Gate — code execution, introspection, debugging, testing, and semantic search

A high-security text-to-SQL MCP server built on FastMCP for MySQL databases, featuring RSA-based authentication and safe query execution with built-in SQL injection protection.

A specialized MCP server that provides expert-level assistance for Cairo and Starknet development, enabling smart contract generation and code optimization through the Cairo Coder API.

A TypeScript-based MCP server that integrates Moralis Web3 APIs to provide live blockchain data, including wallet balances, token prices, and transaction history to AI models.

A specialized MCP server for Old School RuneScape (OSRS) that provides programmatic access to the official Wiki API and local game data definitions. It enables searching for items, NPCs, objects, and game variables with full pagination support.

Integrates Currents test results into AI agents, allowing them to analyze and debug failing CI tests, retrieve performance metrics, and access historical test data.

A specialized MCP server providing access to official U.S. Department of Labor H-1B LCA disclosure data to search for job sponsorships, analyze company statistics, and filter out staffing agencies.

A robust Telegram MCP server that enables AI assistants to search chats, send/edit messages, and access raw MTProto API methods through multiple transport modes.

A comprehensive MCP server that enables AI-driven management of GNS3 network simulations, allowing for automated topology creation, device configuration via templates, and real-time troubleshooting.

This template provides a streamlined foundation for building Model Context Protocol (MCP) servers in Python. It's designed to make AI-assisted development of MCP tools easier and more efficient.

MCP (Model Context Protocol) Server. Configurable server environment for efficient memory-based operations with customizable settings and flexible limits for scalable applications.

An MCP (Model Context Protocol) server designed to interact with the ntfy push notification service. It enables LLMs and AI agents to send notifications to your devices with extensive customization options.

A production-ready Django app implementing Firebase Model Context Protocol (MCP) server with 14 Firebase tools for AI agents. Features standalone agent, HTTP/stdio transport, LangChain integration, and complete Firebase service coverage (Auth, Firestore, Storage).

A specialized MCP server that provides AI agents with dedicated email inboxes to send, receive, and manage correspondence via the AgentMail API.

The most advanced Jenkins MCP server available - Enterprise debugging, multi-instance management, AI-powered failure analysis, vector search, and configurable diagnostics for complex CI/CD pipelines.

A robust MCP server for managing Turso databases, offering both organization-level management and secure database-level SQL operations including vector search.

A comprehensive MCP server for video and image synthesis that integrates RunwayML and Luma AI APIs, featuring asynchronous processing, prompt enhancement via OpenRouter, and advanced media management.

A Model Context Protocol server that integrates with the Weights & Biases platform to analyze ML experiments, debug LLM traces via Weave, and generate performance reports using natural language.

Full-stack air quality analytics platform built with FastAPI, React, and MySQL. Aggregates multi-source PM2.5/PM10 data, performs multi-city comparison and time-series forecasting (SARIMAX), and integrates an LLM-based planning agent with tiered access, secure APIs, and PDF reporting.

A specialized MCP server that bridges AI agents with local Stata installations, enabling automated statistical analysis, data inspection, and graph generation.

Provides extended AI memory by leveraging Gemini's context caching to load and query large codebases, documentation, and PDFs without hitting standard token limits.

A tool that uses Mozilla's Readability algorithm to extract the main content from web pages, stripping away ads and navigation to provide clean, LLM-optimized Markdown.

A curated, DevOps-focused list of Model Context Protocol (MCP) servers—covering source control, IaC, Kubernetes, CI/CD, cloud, observability, security, and collaboration—with a bias toward maintained, production-ready integrations.

A lightweight, ephemeral data sandbox that provides a secure DuckDB environment for AI agents to upload CSVs and execute SQL queries without touching production databases.

A suite of specialized MCP servers for scientific research and engineering, enabling photonic circuit design, advanced document OCR, data extraction from plots, and statistical model fitting.

A comprehensive MCP server that enables full management of Linode cloud infrastructure through AI agents, covering compute, storage, networking, databases, and account administration across over 100 tools.

A comprehensive MCP server for ConfigCat that allows AI agents to manage feature flags, environments, and segments via the public management API. It provides tools for full CRUD operations on ConfigCat entities and retrieves SDK documentation for code integration.

MCP (Model Context Protocol) Server. Lightweight server enabling dynamic tool extension with JavaScript web scraping, Gemini search, and flexible configuration management for rapid prototyping of external tool capabilities.