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MCP Servers

The MCP Code Executor is an MCP server that allows LLMs to execute Python code within a specified Python environment.

AI-native SwiftUI component library with full-stack recipes — connect via MCP for instant access.

This Agent MCP allows you to train external intelligence with zero GPU and let you trade it at Tetrees EX

@cyanheads/git-mcp-server A Git MCP server for AI agents. STDIO & Streamable HTTP. 28 Tools · 1 Resource · 1 Prompt

Open-source meeting transcription API for Google Meet, Microsoft Teams & Zoom. Auto-join bots, real-time WebSocket transcripts, MCP server for AI agents. Self-host or use hosted SaaS.

Each RAG component was sharpened on its own, then folded into one repository: multi-identity auth, observability and systemd supervision come with it.

An MCP server for reading, searching, organizing, and sending email through IMAP and SMTP.

AI-native GPU frame debugging for RenderDoc English | 简体中文

一个基于 mcp-go 框架构建的 Go 服务,它提供了一个能动态生成 ECharts 图表页面的工具。

Give Claude Code eyes for your frontend. No more blind debugging where Claude guesses about your UI, you take screenshots, and you go back and forth hoping it understands what's broken.

Pure-Rust Android decompiler and security-audit suite. DEX → Java, Hermes → JavaScript. Cross-layer taint across the React Native bridge. CycloneDX SBOM + OpenVEX. CLI and MCP.

Datadog's managed MCP server connects your AI agents to Datadog's observability tools and data. Query logs, metrics, traces, incidents, and more - directly from your AI-powered dev tools.
Agent Skills

Design, scaffold, build, review, evolve, and publish production-grade Claude Code skills following the Agent Skills open standard.

This repo is the companion project for the YouTube build: (watch on YouTube)

AI agent skills for Trust Wallet — API endpoints, CLI tools, and open-source libraries across .

"A true master teaches not by telling, but by refining." - The Skill Sensei

into a disciplined four-stage slide-generation workflow:

Reusable finance Agent Skills — grounded in LLMQuant Data

While other collections link to external repositories, provides a self-contained, ready-to-use library of complete skills. Every skill in this repository is a full SKILL.

BuilderOS is the successor to PLAID — Product Led AI Development. The PLAID skills have been refactored into standalone BuilderOS skills; new development happens here.

Dunford on positioning. Schwartz on copywriting. Cialdini on persuasion. Ogilvy on advertising. Hormozi on offers. Voss on negotiation.

Skills are folders of instructions, scripts, and resources that Claude loads dynamically to improve performance on specialized tasks.

A context harness for AI agents — and for building them: one unified workspace over your code, memory, skills, docs, messages, and every data source.

A reduced, higher-signal library of agent skills for ChatGPT. The repo now favors fewer, broader skills with real deterministic tooling over a long tail of thin utility wrappers.