Enables agents to look up a library's Context7-compatible ID and fetch its current, version-specific documentation and code examples, optionally focused on a topic and capped at a chosen token budget.

Enables chat agents and automation tools to query Tesla vehicle status and, when explicitly enabled, send signed vehicle commands via MCP over Streamable HTTP or local stdio.

Exposes a read_source tool that lets agents read cited tickets, docs, and files through the same path the checker verifies, so quoted business rules match their sources and stay in sync as those sources or their authors change. It also keeps undecided product decisions explicit as open questions rather than letting agents invent answers.

Gemini provider for Pi on the Antigravity ACP server (official Google ACP) or the stream-json agy CLI. Use antigravity/* models in Pi. Full /model picker support. Models runs Pi's tools. ToS safe to use.

Enables AI agents to obtain deterministic, structured JVM production diagnostics—including deadlocks, hot locks, bottleneck frames, and planned GC/heap analysis—from thread dumps, GC logs, and heap histograms without hallucinating from raw logs.

DeepSeek Harness (dsh) 从 0 到 1 深度手册：安装/插件开发/性能调优/实测案例/同模型多 Agent 实测对比（中文 + 英文 PDF）

Flow Agents keeps coding agents on track with evidence-backed workflows — a Kontour product that applies Flow and Veritas process discipline as a portable layer inside the agent tools you already use: Claude Code, Codex, Kiro, opencode, and pi — with fram

🛡️ Security audit CLI for Model Context Protocol (MCP) servers — scan AI agent configs for tool poisoning, rug pulls, hardcoded secrets, command injection & supply-chain risks. Pure Python, SARIF + CI ready.

Run MATLAB® using AI applications with the official MATLAB MCP Server from MathWorks®. This MCP server for MATLAB supports a wide range of coding agents like Claude Code® and Visual Studio® Code.

🎨 Open-source design MCP server + shadcn/ui registry — AI design systems for Claude Code, Cursor, Codex, GitHub Copilot & any MCP client. 31 brand-grade themes (Linear, Stripe, Vercel, Notion, Apple, Supabase, Figma…) + design tokens, UI principles & WCAG rules. Install any component with one command.

Claude Code skill that forces AI to understand before executing. Three disciplines: cognition check, requirement understanding, method search.

Agentic SEO operating system as a Claude Code plugin: project Wiki, DataForSEO workflows, content briefs, technical SEO, and human-approval gates.

Make every model cheaper or better. Zero-config behavioral harness for Claude Code, with a reproducible 408-run benchmark

Secure, reproducible sandboxes for AI agent evaluation, training, and data synthesis.

Open tax skills for AI: 2,250 skills across 266 jurisdictions, every figure cited to the law. Works in ChatGPT, Claude, Cursor and any MCP client.

177 tools for AI agents. Turn Chrome into an MCP server — inspect DOM, automate clicks, audit security, mock APIs, extract data, download videos, schedule agents, monitor pages, self-improving recipes, full API collection management, business intelligence

An MCP server for Massive.com Financial Market Data

Identity, trust, and A2A orchestration for autonomous AI agents. Official A2A partner.

Autonomous knowledge base plugin for Claude Code - captures reserch, ideas, and decisions into an interlinked wiki with reserch-on-miss, semantic search, and a Wikipedia-style web UI. Knowledge compounds as you work.

Let Claude Code reach you on Telegram when it finishes work or needs decisions

Persistent visual cache for LLM-driven software development. Caches screenshots using perceptual hashing, vector search, and AX trees to prevent token overhead and visual hallucination loops.

A lightweight, modular Java application framework for web and CLI development, designed for AI integration and plugin-based architecture. Enabling developers to create robust solutions with ease for building efficient and scalable applications.

Version-controlled project context for AI coding agents: code graph, architecture wiki, project memory, relevant tests, quality signals, and task flows.

Enables travelers and agents to route destination crowds in real time by dispersing visitors and reducing queue waits with queuing-theory and dynamic heatmap guidance.