Cursor Руководство установки
AI-редактор кода, часто используемый с developer MCP.
MCP Servers
Open-source NURBS surface modeller — a Rhino-style freeform modeller on the OpenCASCADE kernel, with AI-native MCP integration
The local-first knowledge layer for AI development.
🔥 MCP Mastery: Build AI Apps with Claude, LangChain and Ollama
开源金融数据 MCP / HTTP 服务，面向 AI Agent、量化脚本和普通后端集成。
No Microsoft Graph API, no Entra app registration, no OAuth tokens — just your local Outlook and the authentication you already have.
A Docx document processing service based on the FastMCP library, supporting the creation, editing, and management of Word documents using AI assistants in Cursor.
MCP server to extract contents from a PDF file
让 ChatGPT 通过 MCP 调用本机原生 Codex 会话的轻量 Windows 桥接器。
](https://github.com/rust-mcp-stack/rust-mcp-sdk/actions/workflows/ci.yml) ](examples/hello-world-mcp-server-stdio)
Local-first persistent memory for Claude Code & Codex CLI - Rust CLI, hooks, MCP server, SQLite/SQLCipher, auditable recall for long-running coding work.
Local semantic code index and MCP server for Claude Code, Codex, and opencode. Includes semantic search, reuse checks, impact analysis, and a VS Code chat and agent supporting local CLIs and API...
Local macOS control server for MCP clients and Custom GPT Actions
Agent Skills
Open-source plugin marketplace for Claude Code by DAIR.AI Academy.
- 前任的新对象是谁 - 她关注了谁 - 谁给她点赞 - 她以前发过什么 - 她和谁有共同好友 - 她的每个细节到底是什么意思
Fusion-Fable is a Claude Code skill that runs a hard question through a pipeline. The same prompt is dispatched to several models in parallel — each answering independently with web search and bash,...
Read the launch post for our optimized SpreadsheetBench skill.
A text search engine that supports mixed Chinese and English fuzzy search
A stateless CLI for web search, code search, library docs, and scraping — one binary, no daemon, no API server to run.
本科毕业论文skill：会把你的项目的源码、数据库、截图和文献，按学校模板与样文风格，工程化地写成整合成可追溯、可续写、可审查的本科毕业论文
Desktop AI assistant powered by Claude API
A CLI tool for building Go applications.
Empirically detect the repetitive defaults a model falls back on, then turn those findings into a reusable instruction file that makes future outputs less generic.
From real materials to reports with a fully autonomous & skill-driven researcher.
Productized companion to our paper (arXiv:2606.32014). See Paper & citation.