A TypeScript-based MCP server that implements a simple notes system, allowing users to create, access, and generate summaries of notes via Claude Desktop integration.
Semantic search over IMAGIN.studio API documentation — CDN, API, integration guides, and more.
A Model Context Protocol server that provides AI coding agents with access to up-to-date Inngest documentation by fetching and converting web content to Markdown format.
MCP server for the Tolk smart contract compiler on the TON blockchain. Compile, syntax check, deploy link generation, language docs, stdlib, and contract prompts.
A simple notes system that allows creating, storing, and accessing text notes through MCP resources and tools, with prompt support for generating summaries of all stored notes.
Enables interaction with Jira and Confluence APIs to search, create, and manage issues, pages, comments, and attachments across both Atlassian platforms.
Enables AI assistants to interact with Joplin notes through full-text search, reading, creating, updating, and deleting notes, as well as importing markdown files directly into Joplin notebooks.
Enables AI agents to interact with collaborative Jupyter notebooks and documents in real-time, supporting notebook operations, document editing, user awareness tracking, and session management through Jupyter's RTC capabilities.
Obsidian vault connector for Claude Desktop - enables reading and writing Markdown notes using Model Context Protocol (MCP)
Parses Excel/PDF construction calculations and retrieves Korean construction standards (KCSC/KDS/KCS) for AI-driven review, enabling automated structural calculation verification.
A Model Context Protocol server that enables AI assistants to control Keynote presentations through AppleScript automation, supporting slide operations, theme-aware content management, and export functions.
全面解析MCP Obsidian DockerMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器,MCP Obsidian Docker能让AI助手访问实时数据、执行操作,为您提供更智能的工作体验和自动化解决方案。
Enables AI assistants to extract and analyze text content from various document formats (PDF, DOCX, PPTX, XLSX) in local knowledge bases, and create new formatted Word and Excel documents with structured data and reports.
Enables efficient editing of structured RBT documents through targeted operations on specific sections and blocks. Reduces LLM token consumption by 80-95% compared to traditional full-file operations while providing complete CRUD functionality.
Filesystem first MCP server for Obsidian vaults with an LLM-Wiki layer on top.
Enables AI assistants to analyze Korean financial disclosures (DART) with insider trading signals, accounting risk scores, Buffett-style quality checklists, and automatic conversion of HWP/PDF attachments to markdown.
Enables Claude to search and analyze Obsidian vault content using ripgrep with support for wiki links, backlinks, frontmatter properties, orphaned notes, and intelligent context detection showing which heading or property contains each match.
公开目录未提供摘要。
Enables loading and accessing LAML (YAML-based markup language) documents from the filesystem through the Model Context Protocol.
A Model Context Protocol server that provides AI assistants and language models with access to Laravel 12 documentation, allowing them to list, read, and search through documentation files.
