MCPMark is a comprehensive, stress-testing MCP benchmark designed to evaluate model and agent capabilities in real-world MCP use.

Any AI, replaces Claude Code, Cursor, OpenClaw. Over 18 LLM providers (Claude, OpenAI, Gemini, Ollama, Zai, HF, Qwen) wired into a native Mac app that writes code, builds Xcode projects, bumps versions, manages git, automates Safari, use AppleScript, JS or Accessibility, extend Agent! w/ MCP Servers, run tasks from your iPhone via Messages.

A 100% private AI voice assistant that lives on your computer (works offline). Talk naturally as if Jarvis is a third person in the room, and get conversational responses. It remembers everything, knows location and time, can check the web, control Chrome, track nutrition, and more with support for unlimited MCPs / tools without context rot.

Pasal.id - The first open, AI-native Indonesian legal platform. MCP server + REST API + web app giving AI grounded access Indonesian laws.

An MCP server that enables LLMs to interact with Tripadvisor API, supporting location data, reviews, and photos through standardized MCP interfaces

Agentic AI memory with Ebbinghaus forgetting curve decay. +16pp better recall than Mem0 on LoCoMo.

🚀 Curated list of x402 resources: HTTP 402 Payment Required protocol for blockchain payments, crypto micropayments, AI agents, API monetization. Includes SDKs (TypeScript, Python, Rust), examples, facilitators (Coinbase, Cloudflare), MCP integration, tutorials. Accept USDC payments with one line of code. Perfect for AI agent economy.

🚀 19 AI Agents + 44 Commands for Gemini CLI - Code 10x faster with auto planning, testing, review & security

An MCP server that executes Python code in isolated rootless containers with optional MCP server proxying. Implementation of Anthropic's and Cloudflare's ideas for reducing MCP tool definitions context bloat.

CoexistAI is a modular, developer-friendly research assistant framework . It enables you to build, search, summarize, and automate research workflows using LLMs, web search, Reddit, YouTube, and mapping tools—all with simple MCP tool calls or API calls or Python functions.

AI-powered travel hacking and search with cash, points, miles, and award flights. Drop-in skills and MCP servers for Claude, Codex, and OpenCode.

Skill + MCP server to turn your agent into an RLM. Load context, iterate with search/code/think tools, converge on answers.

Claude Code plugin for Elixir/Phoenix/LiveView — 20 specialist agents, Iron Laws enforcement, and Tidewave MCP integration. Plan features with parallel research agents, execute with automatic verification, review with 4-agent parallel audits, and capture learnings as reusable knowledge.

SDL-MCP gives coding agents the right code context, not your entire repo. It turns sprawling codebases into compact, high-signal context that saves tokens, speeds up workflows, and improves agent output.

Low-Code Full-Stack Agentic AI Development using LLMs, n8n, Loveable, UXPilot, Supabase and MCP. Class Videos: https://www.youtube.com/playlist?list=PL0vKVrkG4hWq5T6yqCtUL7ol9rDuEyzBH

The cognitive database. A new class of data storage. Not a vector store, not a graph DB, not a RAG wrapper. Ebbinghaus decay, Hebbian learning, and Bayesian confidence are engine-native primitives. Memories evolve on their own. MCP-native. Single binary.

WordPress plugin that turns Elementor into an MCP server — 97 AI-ready tools for building, editing, and managing page designs programmatically.

Deterministic orchestrator for 30+ CLI AI coding agents. Git worktree isolation, HMAC audit trail, MCP server mode.

AI-first security scanner with 76 analyzers, 9,600+ detection rules, and repo poisoning detection for AI/ML, LLM agents, and MCP servers. Scan any GitHub repo with: medusa scan --git user/repo

Opensource Memory for Agents

AI Session Memory with Think-Execute-Reflect Quality Loops — give your agent a brain that survives every session. Built on the Intelligent Distance principle.

TypeScript framework for building production MCP servers. Fluent tool API, FSM gating, presenters, semantic routing, cache hints, Zod validation. Model-View-Agent architecture for the Model Context Protocol.

pctx is the execution layer for agentic tool calls. It auto-converts agent tools and MCP servers into code that runs in secure sandboxes for token-efficient workflows.

Turn any MCP server into a Python module