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5,420 matching resources
🔗 A zero-config Model Context Protocol (MCP) server for Reddit — search posts, browse subreddits, scrape user activity, and get structured data via any MCP-compatible AI client. N…
A Model Context Protocol (MCP) server that enables natural language queries to databases
Use up-to-date library and framework docs via Context7 MCP instead of training data. Activates for setup questions, API references, code examples, or when the user names a framewo…
Manage paid ads on AdManage.ai from declarative config - default schedules launches across Meta/TikTok/Snapchat/Pinterest/LinkedIn (always PAUSED); create provisions Meta campaign…
Maintain docs of record, ADRs, changelog, and house style. Use when writing repo docs. Do not use for release steps; use night-market-operations instead.
Official MCP server for Tripo
Linkbreakers MCP server for AI agents: create, track and manage dynamic QR codes and short links, with scan analytics. Stdio proxy to mcp.linkbreakers.com.
Tailwind CSS class organization and best practices
Detect and prevent software and data integrity failures in Python applications as defined in OWASP Top 10:2021-A08
OCaml SDK for Model Context Protocol using Jane Street's oxcaml_effect library
Model Context Protocol project hosted in enhansome/enhansome-best-of-mcp-servers. View source for setup details.
Fork divergence monitor - tracks where the fleet's active forks diverge in CODE (unique commits, new/modified skills) and CONFIG (enable/var/model/schedule vs upstream), gated on …
GitHub's official MCP Server
Optimizes agent context setup. Use when starting a new session, when agent output quality degrades, when switching between tasks, or when you need to configure rules files and con…
All-in-one MCP server that can connect your AI agents to any native endpoint, powered by UTCP
Writing, explore: mine raw fragments, no structure yet.
将任意专家/角色提示词规范化为可移植格式并迁移到任意 AI（DeepSeek、豆包、Kimi、Claude、Ollama 等）的实用工具。内置「清理平台语法 / 单专家单任务 / 补背景信息」三大原则、五段式提示词结构、迁移自检清单，以及 6 个原创领域专家示例（文案/简历/数据/法律/财务/英语）。
Scores feature worthiness and enforces branch-size limits against overengineering. Use when evaluating whether a feature belongs in the current scope or branch.