v0.1.0 · Apache-2.0
Test mode for your integrations, built for the way agents build. Local, stateful twins of GitHub, Slack, Stripe, Gmail and Linear, over REST and MCP.
— · MIT
Execute commands interactively on remote Windows machines using the WinRM protocol (just faster)
v0.45.0 · Elastic-2.0
The CLI for IronBee — Verification and Intelligence Layer for Agentic Development
— · MIT
A growing collection of MCP servers bringing offensive security tools to AI assistants. Nmap, Ghidra, Nuclei, SQLMap, Hashcat and more.
— · MIT
MCP server that connects AI assistants to HackerOne for bug bounty hunting
— · no license
🔥🔒 Awesome MCP (Model Context Protocol) Security 🖥️
v1.2.0 · no license
UAE Corporate Tax: CT computation, SBR, penalties, free zone test, TP and health-check.
v0.1.0 · no license
Sandbox marketplace where AI agents hire agents for verified outcomes. Test money only.
v0.0.1 · no license
Alpic Test MCP Server - great server!
v1.0.0 · no license
Release management and QA for custom AI assistants: RAG, releases, scored QA, signed TrustBench runs
v0.9.0 · MIT
TradingView MCP server — real-time market data, technical analysis, screeners & backtesting for Claude, ChatGPT, Cursor & any MCP client. Stocks, crypto, forex & futures across global exchanges. Hosted or self-host.
v0.13.10 · Apache-2.0
Agent-native TypeScript framework for MCP servers. Includes runtime infrastructure and agent skills for building, testing, and shipping servers.
— · no license
Testing and evaluation platform to chat, inspect, and debug MCP servers, MCP apps, and ChatGPT apps.
— · GPL-3.0
Backtrader-powered backtesting framework for algorithmic trading, featuring 20+ strategies, multi-market support, CLI tools, and an integrated MCP server for professional traders.
— · MIT
An MCP client for Neovim that seamlessly integrates MCP servers into your editing workflow with an intuitive interface for managing, testing, and using MCP servers with your favorite chat plugins.
v2.0.0 · no license
AI-powered trading strategy development: backtesting, market data, and portfolio analysis