Projects with this topic
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Options trading analytics — backtest stats, walk-forward analysis, Monte Carlo, risk metrics. Web dashboard at tradeblocks.io | MCP server on npm | Docker: romeo345/tradeblocks-mcp
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ADHD-friendly productivity app: brain-dump tasks, let AI break them into tiny steps, schedule to your calendar, focus with a Pomodoro style visual timer, and earn rewards & streaks.
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MCP server for the Live Tennis API — give Claude, Cursor and other LLM agents real-time tennis scores, odds and model win-probability
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Yet another software engineering agent orchestration system. This time with a mythical theme. Originally designed for Claude Code, now with support for OpenCode, Github Copilot, and OpenAI Codex.
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Pi extension wrapping Vladimir Glafirov's gitlab-ai-provider. Exposes GitLab Duo's AIGW catalog to Pi with two routing paths: agenticChat (full tool calling) and workflowChat (Bedrock + Vertex compliance routing of Claude).
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Servidor MCP propio y panel privado para que un agente de IA (Claude) gestione, con aprobación humana, las Páginas de Facebook y cuentas de Instagram de un solo dueño. Node 22 sin dependencias, SQLite, MIT.
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A Model Context Protocol (MCP) server for GitLab — exposes the GitLab REST API v4 to LLM hosts like Claude Code as 59 workflow-oriented tools for code review, issue triage, CI/CD debugging and repository navigation.
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MCP-native browser automation server — 62 composite tools, 153 CLI subcommands, zero config. Give AI agents full browser control via the Model Context Protocol. Navigate, interact, extract text/HTML/screenshots, debug network, manage sessions, visual diffing, React inspection, auth vault, HAR recording. Works with Claude, Copilot, VS Code, Cursor. Built on Playwright/Chromium. The most comprehensive browser MCP server available.
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Coordinated Agent Swarm Testing — open-source framework that deploys 100 Claude AI agents in five specialized squads (Security, Logic, Robustness, Performance, Data Integrity) to systematically analyze codebases for bugs, security issues, and code quality problems. A research-backed substitute for human beta testing. Empirical results from the published paper: 100 agents analyzed a 12,500-line React/TypeScript application in 63 minutes, identified 687 unique findings, at a total cost of $7.97 — compared to $2,000-$20,000 for equivalent human beta testing. Available via npm (cast-swarm) and as an MCP server. Apache 2.0 licensed. Published preprint available.
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Quality Claude Code skills for real-world problems
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Modern Bitrix24 REST API integration for AI Agents using official SDK. Sponsored by Provident Estate Dubai - https://providentestate.com
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Logical concept analysis MCP server - break through confused thinking with structured decomposition. Uses Wittgenstein's Tractatus method to show WHAT something is (not HOW to do it) by revealing hidden dependencies and multiplicative requirements that sequential thinking misses.
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