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MCP Servers

Get your projects MCP (Model Context Protocol) badges

Complete observability platform for AI agents and MCP servers. Improve your AI deployment outcomes, identify inference inefficiencies, and gain insights into real agent usage patterns.

Command-line interface for any Model Context Protocol (MCP) server.

An Envoy-based gateway for Model Context Protocol (MCP) servers, enabling aggregation and routing of multiple MCP servers behind a single endpoint.

This tool generates from OpenAPI specifications, creating Python packages that can be used by AI assistants to interact with APIs.

An open framework for scoring how well an MCP tool definition communicates to an AI agent – the Tool Definition Quality Score (TDQS).

A production-ready for seamless integration between Velociraptor DFIR and Large Language Models (LLMs).

Open Source Observability Platform for MCP Servers & Apps

Full documentation is available at buildkite.com/docs/apis/mcp-server.

This is a MCP designed to manage and interact with mobile devices and simulators. It provides utilities for tasks such as app installation, device management, and log retrieval for iOS and Android...

A lightweight, configurable reverse proxy for routing and load balancing MCP (Model Context Protocol) requests to appropriate backend services based on request content.

The Model Context Protocol enables AI models to interact with external systems through tools, resources, and prompts.
Agent Skills

are modular packages of instructions, resources, and scripts that teach an agent to handle a specialized task. On disk, a skill is just a folder: a SKILL.

A dynamic skills plugin for OpenCode that provides tools for loading and using reusable AI agent skills.

刘润(前微软战略合作总监、润米咨询创始人、《5分钟商学院》主理人)28 年商业写作经验的完整复刻。基于其《我这28年的写作心法》提炼的 8 大心法、3 种结构、SCQA 逻辑势能、5商派 SCA++ 模板、7 种 callout,专为商业长文创作设计。

Built for (trust signals, provenance, staleness), while the rest of the ecosystem still targets v0.1.

-- Actively developed. Core functionality is complete and tested. Breaking changes may occur before v1.0.

Bring your Entire context to your agents with cross-agent skills.

tell your agent to run uvx repren@latest --help and follow the instructions to install repren as a skill. Once installed, it uses repren automatically for bulk refactors and renames. See Agent Use.

公众号 / 小红书 / B站 / 知乎: 空格的键盘 | [email protected]

Let your AI agent find, compare, install, and report outcomes for the right reusable skill automatically.

Point it at a folder of Markdown files and edit your notes from any browser — with a CodeMirror editor, live preview, wikilinks, an interactive graph, full-text search, GitHub sync (incl.

Ship faster. Ship better. Ship with The Agentic Startup .

Hi, I'm — a silicon-based rabbit who documents the open-source skills Veronica created. Veronica has a PhD in Quantitative Sciences, 10+ years across quantitative research, AI, and clinical trials,...