Markdown AI Agent Skills

An MCP server that delivers real-time cross-chain bridge rates and optimal transfer routes to support decision-making by onchain AI agents. - Get Bridge Rates: Retrieve cross-chain bridge rates for token pairs, including USD values, gas costs, route providers and tags, presented in a Markdown table. - List Supported Chains: Fetch a sorted list of blockchain networks supported by LI.FI. - List Supp

文颜（Wenyan） 是一款多平台 Markdown 排版与发布工具，支持将 Markdown 一键转换并发布至： - 以及其它内容平台（持续扩展中） 文颜的目标是：让写作者专注内容，而不是排版和平台适配。 文颜目前提供多种形态，覆盖不同使用场景： - macOS App Store 版 - MAC 桌面应用 - 跨平台桌面版 - Windows/Linux - CLI 版本 - 命令行 / CI 自动化发布 - 👉 MCP 版本 - 本项目 - 核心库 - 嵌入 Node / Web 项目 本仓库是 文颜的 MCP Server 版本，基于模型上下文协议（Model Context Protocol），旨在让 AI 助手（如 Claude Desktop）具备自动排版和发布公众号文章的能力。 - 与 AI 深度集成：让 AI 帮你管理公众号的排版和发布 - 支持 SSE 模式

Scrape, crawl, search, and extract web data. Converts any website to LLM-ready markdown. Local-first with smart escalation (HTTP → browser → stealth). No API key needed.

Turn URLs into clean markdown or structured JSON with one engine for search, scrape, map, crawl, and extract. Run it locally as a small Rust binary or use the managed API. Get 1000 free credits → · Install · No credit card. Continue with GitHub. Runs local and free, no account needed. To use the Cloud, paste your key into the same command and it installs the binary, connects the key, and registers

The ultimate Rust SDK and high-performance MCP server for Obsidian-flavored Markdown (.ofm) and standard .md vaults. TurboVault is a dual-purpose toolkit designed for both developers and users. It provides a robust, modular Rust SDK for building applications that consume markdown directories, and a full-featured MCP server that works out of the box with Claude and other AI agents. Build your own a

Packages generated wiki Markdown into a VitePress static site with dark theme, dark-mode Mermaid diagrams with click-to-zoom, and production build output. Use when the user wants to create a browsable website from generated wiki pages.

Markmap MCP Server is based on the Model Context Protocol (MCP) that allows one-click conversion of Markdown text to interactive mind maps, built on the open source project markmap. The generated mind maps support rich interactive operations and can be exported in various image formats. - 🌠 Markdown to Mind Map: Convert Markdown text to interactive mind maps - 🖼️ Multi-format Export: Support for

tip.md is a platform that allows developers to receive cryptocurrency tips directly to their wallets via a simple button embeddable in GitHub READMEs, websites, or any markdown content. It supports: - Multiple Blockchains: Ethereum, Base,Solana, and Bitcoin Lightning Network - Direct-to-Wallet Payments: Tips go straight to your wallet, no custody - Simple Integration: One button, works everywhere

An MCP server that analyzes order book depth and imbalance across major crypto exchanges, empowering AI agents and trading systems with real-time market structure insights. - Order Book Metrics: Calculate bid/ask depth and imbalance for a specified trading pair on a given exchange. - Cross-Exchange Comparison: Compare order book depth and imbalance across multiple exchanges in a unified Markdown t

An MCP server that provides real-time whale alerts on Hyperliquid, flagging positions with a notional value exceeding $1 million. - Tool: getwhalealerts: Fetches recent whale transactions and returns them as a Markdown table using pandas for clean formatting. - Prompt: summarizewhaleactivity: Generates a summary of whale transactions, including metrics like total position value and notable symbols

skill-depot replaces the "dump all skill frontmatter into context" approach with selective, semantic retrieval. Agent skills are stored as Markdown files and indexed with vector embeddings — only the relevant skills are loaded when needed, keeping context lean. - Semantic Search — Find skills by meaning, not just keywords, using embedded vector search - Fully Local — No API keys, no cloud. U

A Model Context Protocol (MCP) server that enables AI assistants like Claude to interact with your Obsidian vault. Access your notes, create content, manage tags, and search your knowledge base through natural conversation. - CRUD Operations: Create, read, update, and delete notes (with safety confirmation) - Write Modes: Overwrite, append, or prepend content - Batch Reading: Read multiple notes i

An MCP server application that sends various types of messages to the WeCom group robot. To install mcp-wecombot-server for Claude Desktop automatically via Smithery: Send a text message to WeCom group - sendmarkdown Send a markdown message to WeCom group - sendimage Send an image message to WeCom group Send a news message to WeCom group,a news include title,description,url,picurl - sendtemplateca

An MCP server that provides AI agents with real-time access to curated Web3 jobs from web3.career, enabling intelligent job discovery and career insights. - Job Query Tool: Filter Web3 jobs by: - Remote status (remote=True for remote-only jobs) - Country (e.g., "United States", case-insensitive) - Job tag (e.g., "react", "blockchain", case-insensitive) - Limit (1–100 jobs, default 50) - Markdown O

An MCP server that aggregates real-time cryptocurrency news from multiple RSS feeds, helping AI agents make informed decisions in a fast-paced market. - Feed Retrieval: Fetches latest entries from specified RSS feeds, formatting them as Markdown with plain-text summaries. - Keyword Filtering: Filters feeds by keyword in descriptions or categories. - OPML Support: Import feed list from a local OPML

This MCP server provides functionality to fetch web content in various formats, including HTML, JSON, plain text, and Markdown. Available on NPM - fetchhtml - Fetch a website and return the content as HTML - url (string, required): URL of the website to fetch - headers (object, optional): Custom headers to include in the request - maxlength (number, optional): Maximum length to fetch (default 5000

MCP Server for the Notion API, enabling LLM to interact with Notion workspaces. Additionally, it employs Markdown conversion to reduce context size when communicating with LLMs, optimizing token usage and making interactions more efficient. Here is a detailed explanation of the steps mentioned above in the following articles: - English Version: https://dev.to/suekou/operating-notion-via-claude-des

A Go MCP server for D&D campaign state management, dice rolling, and session memory. - Serves a Model Context Protocol (MCP) toolset over stdio or streamable HTTP. - Stores campaign data in per-campaign SQLite databases. - Tracks characters, plot events/hooks, world flags, roll history, checkpoints, and session summaries. - Generates session briefs and markdown recaps for fast DM context restorati

A Model Context Protocol (MCP) server implementation that integrates with Olostep for web scraping, content extraction, and search capabilities. To set up Olostep MCP Server, you need to have an API key. You can get the API key by signing up on the Olostep website. - Scrape website content in HTML, Markdown, JSON or Plain Text (with optional parsers) - Parser-based web search with structured resul

A personal filesystem that works as your life operating system — designed to be read, queried, and operated on by an AI agent. Life OS is a structured set of markdown files that give an AI agent (Goose, Claude, or any LLM with filesystem access via MCP) persistent context about your life — who you are, what you're working on, what you're learning, and what's happened. The AI reads these files at t

TL;DR for AI agents — enquire-mcp is the 1 Obsidian MCP: a local memory and document-intelligence layer that makes one vault persistently searchable from Claude Code, Claude Desktop, Cursor, ChatGPT, Codex, OpenClaw, and any MCP client. It returns cited source context across Markdown, PDFs + OCR, Canva

Fast, token-efficient web content extraction for AI agents - converts websites to clean Markdown. Existing MCP web crawlers are slow and consume large quantities of tokens. This pauses the development process and provides incomplete results as LLMs need to parse whole web pages. This MCP package fetches web pages locally, strips noise, and converts content to clean Markdown while preserving links.

A Model Context Protocol (MCP) server for converting Markdown content to interactive mindmaps. Or using uvx: Or using docker safer and easier. Three installation methods have been successfully tested on macOS and Linux. For Windows users experiencing issues with npx for this MCP, consider using the Docker method. Alternatively, if you use Visual Studio Code, the "Markmap" extension offers a potent

An MCP server that delivers crypto ETF flow data to power AI agents' decision-making. - Unified Tool: The getetfflow tool dynamically fetches historical ETF flow data for BTC or ETH. - Markdown Table Output: Leverages pivot tables to present data with ETF tickers as columns, dates as rows, and a total column for summed flows. - Prompt Guidance: Includes a prompt (etfflowprompt) to streamline LLM i