Model Context Protocol for WinDbg.

Mirror your body in data. One standard, every source, one complete picture of you: a self-hosted health record built from lab reports, wearables and genetics, with every number traced to its source and a built-in MCP server. Run it with Docker and one LLM key, or keep every model local on llama.cpp.

A Model Context Protocol server to connect to MongoDB databases and MongoDB Atlas Clusters.

Model Context Protocol server for Firefox DevTools - enables AI assistants to inspect and control Firefox browser through WebDriver BiDi

AI marketing agent and AI ad generator, run from your own AI agent. 1091 tools. No markup on models. Publishing, scheduling, ad campaign management, comments, DMs and analytics are free on every plan. AD PLATFORMS: Meta, Google Ads, TikTok Ads, LinkedIn A

🌍 Terraform Model Context Protocol (MCP) Tool - An experimental CLI tool that enables AI assistants to manage and operate Terraform environments. Supports reading Terraform configurations, analyzing plans, applying configurations, and managing state with Claude Desktop integration. ⚡️

Browser MCP is a Model Context Provider (MCP) server that allows AI applications to control your browser

Generate game assets with AI: sprites, animations, 3D models with rigging, video, music, SFX, voices

Native local development environment for Windows, macOS & Linux. A modern alternative to XAMPP, MAMP, Laragon and Laravel Herd, with runtimes, databases, web servers, local sites, HTTPS, AI coding tools and MCP.

Run image, video, audio and LLM models on Wiro AI straight from your AI assistant.

Neo.mjs is a self-evolving software organism: a professional end-to-end AI engineering team whose cross-model swarm inhabits live apps via Neural Link, Active Hybrid GraphRAG, DreamService, and self-healing loops.

@codapult/guard is local-first, model-agnostic architecture guardrail software for AI coding agents. Use it to detect architectural drift, enforce approved software architecture rules, and check code changes in JavaScript and TypeScript projects.

Generate video, images, audio and speech with Vidofy — Veo 3.1, Kling 3.0, Flux 2 and 570+ models.

Persistent session memory for AI coding agents that never leaves your machine — including the on-device model that reasons over it. Restores your prior decisions, open TODOs, and changed files across sessions; adds associative recall of related past work,

Professional AI research tool for Zotero: chat with PDFs, whole-library search, Literature Radar, AutoPilot. 30+ LLMs or local models; built-in MCP server.

The most comprehensive ServiceNow AI toolkit, including a full ServiceNow MCP server: 500+ MCP tools plus 26 AI capabilities (scan, review, build, ops, docs) and a direct BYOK mode. Works with Claude, ChatGPT, Gemini, Cursor, GitHub Copilot and any LLM.

150+ image, video and audio models. Quote before you generate; pay as you go.

You're the boss, agents are your team. They handle tasks on their own, message each other, and review each other's work. You just watch the kanban board and give high-level commands. Codex/Claude/OpenCode/Cursor/Grok/GitHub/Kiro/Z.AI/Xiaomi/MiniMax/Kimi(300+ models, 200+ LLM providers, free models no auth) Build your AI company with multiple teams

Security reviews, threat models over a repo or website, and remediation tracking, in your editor.

AI news, model pricing, service status, and machine-payable premium tools. AFTA-certified.

Multi-harness control plane for Claude Code, Codex, Cursor, and OpenCode: quota-aware rotation across multiple Claude/Codex subscriptions, shared thread context, and cross-model review.

Enables retrieval and structural analysis of FDA regulations.gov dockets: searching dockets, pulling comments and attachments into a local cache, extracting sectioned guidance text, and computing section-aligned draft-versus-final guidance diffs. All results are deterministic and cache-first, with no model calls in the server.

Enables MCP-compatible clients to send prompts or conversations to Chinese LLM models, list available models with pricing, and compare responses from multiple models through an OpenAI-compatible API.

Enables coding agents to audit projects locally for token waste, calculate model arbitrage and pricing alternatives, and make request bodies cache-friendly, with payload optimization sending the supplied request body to the TokenZero service.