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Enables AI agents to interact with a persistent MySQL database through the Model Context Protocol, with automatic provisioning of a free TiDB Cloud Zero instance requiring no signup or configuration.

Generate Pixel Art and Tilemap/Tileset

Enables AI agents to explore, search, and reference code implementation details across different project repositories. It also supports a task delegation protocol for agents to request and track work between separate codebases.

Enables LLMs to create, read, and append notes in Apple Notes through AppleScript, with append-only operations restricted to a single folder for safety.

Enables AI coding agents to send structured Telegram notifications for events like questions, plan_ready, final, attention_needed, and error.

NASA ADS — the Astrophysics Data System, api.adsabs.harvard.edu.

Buy products for your user: post intent, get ranked cross-source matches, constraints enforced.

URL to clean Markdown for AI agents. 2 tools: scrape_url (one page) and crawl_website (whole site). Blocked or paywalled pages are reported honestly, never invented. Hosted endpoint at scrape.mcp.goaimoat.com/mcp, free 3 calls per email, no card. A cheaper Firecrawl alternative; also runs locally via Docker.

Enables AI assistants to interact with local documents (PDF, Markdown, TXT) through tools for discovery, reading, extraction, summarization, comparison, keyword extraction, search, and analysis, ensuring privacy and offline capability.

An MCP server that reliably accepts support tickets even during downstream SaaS outages, using transactional outbox, idempotency, retries, dead-letter handling, and an audit trail.

Enables image generation and editing using OpenAI's GPT Image 2 model within a Claude Desktop Code project workspace, with security boundaries and no-overwrite file handling.

Enables MCP-capable clients to monitor and manage Apache Kafka clusters, including topics, partitions, configs, and consumer groups with lag, while enforcing configurable security modes, topic allowlists, protected topics, and audit logging.

Enables Claude Code to run GNU Octave code for numerical computation, plotting, and deep learning inference via system calls.

Executes code in ephemeral unikernel sandboxes with declarative policy-based security controls, providing isolated execution environments for untrusted code. Provides tools for code execution, run inspection, and environment diagnostics. TypeScript with stdio transport, integrating with Claude Code, Cursor, and VSCode.

MCP server to search Rakuten Ichiba (Japan's largest e-commerce platform) for products, returning names, prices, URLs, shop info, reviews, and images via the official Rakuten API.

Superface MCP Server provides a bridge between AI assistants and Superface's API tools ecosystem. This TypeScript implementation handles user authentication, tool discovery, and execution through a stdio-based transport layer, storing user identifiers locally for persistent sessions. The server exposes Superface's function catalog as MCP tools, transforming tool responses into a standardized format compatible with AI assistants. Particularly useful for extending AI capabilities with external API integrations while maintaining a clean separation between the assistant and third-party services.

MCP server for controlling a Windows guest VM over WinRM, enabling PowerShell/CMD execution, file transfer, reboot, and KDNET debug configuration, typically paired with kd-mcp.

An MCP server that connects to Slack via Socket Mode (WebSocket) and surfaces real-time message notifications through MCP tools. No public URL or ngrok needed.

Enables agents to interact with a governed semantic layer for querying and authoring metrics, providing tools for discovery, planning, validation, and execution of analytics queries.

This MCP server implementation, developed by maoxiaoke, streamlines the creation of new Model Context Protocol (MCP) servers by providing a structured development protocol and example templates. It offers a specialized tool that can be easily invoked using npx, making it efficient for developers to set up MCP server scaffolds. The implementation is designed to support various use cases where rapid deployment of MCP servers is required, such as in AI-assisted development environments or for quickly prototyping MCP-based applications.