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MCP Servers
This local proxy package is deprecated in MetaMCP's 2.0 all-in-one architecture.
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Collection of mcp servers and skills/plugins
Search Solodit's 20,000+ audit findings from Claude Code and Codex CLI.
An MCP server that lets Claude Code and other AI agents search a PDF by meaning or keyword, read only the pages that matter, and cleanly pull out tables, images, and scanned text, even from...
A powerful AI Agent tool that helps developers instantly create high-quality UI components
Agent-native disposable email — Cloudflare Workers + Durable Objects, with CLI & MCP. https://smails.dev
Let any AI agent run DaVinci Resolve — MCP server with live Studio control, free-edition FCPXML/LUT workflows, reference color matching, beat-aware music cuts, dialogue tightening, broadcast-loudness...
flowlens-mcp-server gives your coding agent (Claude Code, Cursor, Copilot, Codex) full browser context for in-depth debugging and regression testing.
Simply add tomcp.org/ before any URL: Or go to https://tomcp.org and paste the URL there.
- Transform Claude into a surgical precision animation expert with AI-powered intent analysis, complete API coverage, and production-ready patterns.
Generate AI-friendly interfaces from your existing Swagger/OpenAPI specs. This tool converts APIs into Model Control Protocol (MCP) format — used to control tools and environments via large language...
Agent Skills
- 🤝 团队与**达成合作，Supervisor-Skills 正式作为**的核心科研技能完成部署，驱动「」与「」两大官方能力，将本项目沉淀的科研方法论带给亿级用户。 - 🚀 ：新增 paper-writer（证据门控的论文正文写作）、paper-polish（忠于原意的语言润色）、deep-research（综述级文献调研）三个技能；intro-drafter...
A Claude Code plugin that maintains FILETREE.md — a one-line description per file with content hashes for staleness detection.
Point it at an existing site and it finds the generic patterns, the missing states, and the sloppy code, then fixes them in place without rewriting your project.
DeepClause Typescript DML SDK and runtime
of cursor/plugins/pstack — kept in sync for standalone use. See also backnotprop/bro, referenced by the /bro skill below.
A股全栈数据工具包 · 十一层架构 · 54端点 · 19数据源 · 零鉴权 | Full-stack China A-share data toolkit for AI agents — 11 layers, 54 endpoints, 19 sources, zero-auth
Structured workflow packs for AI coding assistants, with built-in conversation memory, project memory, and learning-oriented collaboration patterns.
FTE+AI is an end-to-end program execution framework that guides R&D organizations through the complete journey of vendor replacement—from initial planning through successful cutover and optimization.
AI-native quantitative research framework
Anti-laziness skill for AI agents. Core: the Depth Tree method, which splits a task N layers deep and gives every leaf the full time budget of the whole task, so effort multiplies with depth.
Open-source Environment toolkit of claw-like agents, support task/harness generation and evaluation
Spec docs drift from code, or they bloat every PR. Skeeper picks neither.