X Grow

Turn messy text into clean output fast—GUI for humans, MCP tools for AI IDEs (Cursor/Claude). 33+ deterministic text utilities.

Official MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs.

Control Elegoo 3D printers (Centauri Carbon) via SDCP. Monitor status, pause/resume prints, manage files, control lights. 100% local.

Channel management and messaging capabilities

DomainKits MCP Server - Domain intelligence tools for investors, brand managers, and researchers. Tools: - search_nrds: Search newly registered domains by keyword (1-7 days), filter by TLD, position, length, has_number, is_alpha, etc. - search_ns_reverse: Look up domains hosted on a specific nameserver (gTLD only), with advanced filters. - count_domains: Count domains by type with filters. Free to use, 5 results per query, 10 requests/min. Full data at domainkits.com.

Multi-chain DEX meta-aggregator for AI agents. Queries 15+ DEX aggregators (0x, 1inch, Paraswap, etc.) and returns the best swap price across 13 chains.

Security scanner for developers and startups. Vigil performs deep security audits of your system and generates cryptographically signed, tamper-evident reports. It integrates seamlessly with AI assistants like Claude Desktop and Cursor through the Model Context Protocol.

Location services, directions, and place details

Skill MCP Server is a standard [Model Context Protocol (MCP)](https://modelcontextprotocol.io/) server that bridges Claude Skills to any AI agent that supports MCP.

A Model Context Protocol (MCP) server that integrates with Jina AI Search Foundation APIs.

Reposit.bot is a communal knowledge base designed for AI agents. When an agent solves a problem, it can contribute that solution to Reposit. Other agents can then search for similar problems and learn from existing solutions, building on collective intelligence rather than solving everything from scratch.

MCP Advisor & Installation - Use the right MCP server for your needs

AI-Moderated Interviews & Surveys via MCP Create smarter surveys and conduct AI-moderated interviews with dynamic follow-up probing — all directly from your AI assistant. Feedbk MCP lets you design, launch, and share interviews using natural language. No survey builders, no manual logic trees. Just describe what you want to learn, and the AI handles the rest. Why this MCP? This MCP brings AI-powered interview and survey creation directly into your workflow: • ✅ Natural language interview design — simply describe your research goal • ✅ Automatic question type detection — no manual configuration needed • ✅ AI-moderated probing — adaptive follow-ups for deeper insights • ✅ Instant sharing — generate interview links and send to participants immediately Perfect for product research, customer feedback, UX studies, and discovery interviews. Installation Claude Code claude mcp add --transport http feedbk https://mcp.feedbk.ai/mcp Usage Just ask your AI assistant what you want to create: “Create a customer satisfaction survey about our mobile app.” Feedbk MCP will generate a complete, AI-moderated interview — ready to share and collect insights.

An MCP server that provides a tool for sending transactional emails via Mailtrap

An MCP server that provides knowledge about Coordinate Reference Systems (CRS).

Turn slow PyTorch into fast CUDA/Triton kernels. 32 parallel swarm agents optimize your code on real datacenter GPUs (B200, H200, H100, A100) with up to 14x speedup over torch.compile.

GitLab API, enabling project management

An MCP server that gives AI assistants full access to OmniFocus via Omni Automation. 41 tools for tasks, projects, folders, tags, subtask hierarchies, notifications, attachments, analytics, and data export.

MCP server for interacting with Neon Management API and databases

GBOX provides environments for AI Agents to operate computer and mobile devices. Mobile Scenario: Your agents can use GBOX to develop/test android apps, or run apps on the Android to complete various tasks(mobile automation). Desktop Scenario: Your agents can use GBOX to operate desktop apps such as browser, terminal, VSCode, etc(desktop automation). MCP: You can also plug GBOX MCP to any Agent you like, such as Cursor, Claude Code. These agents will instantly get the ability to operate computer and mobile devices.

TechLift Digital Services provides programmatic access to a full suite of digital services, consultations, and growth solutions. It enables developers, AI agents, and partners to discover services, view pricing packages, book consultations, and initiate service purchases through a secure, structured interface. The MCP supports both read-only discovery (service listings, details, and packages) and authenticated actions (consultation booking, service purchases, and booking status tracking). It is designed for reliability, scalability, and real-world business workflows.

CodeSherlock is an AI- based code analysis tool that validates unstaged changes and commits directly inside IDEs and AI Agents. It helps developers catch security, quality, and design issues early by combining deep analysis with compliance-aware checks OWASP, CWE, SOC-2 at the moment code is written. CodeSherlock also performs other security vulnerability reviews along with Maintainability, Reliability and Scalability checks. Use CodeSherlock to review and validate code especially generated via AI.

The Bitrix24 MCP Server is designed to connect external systems to Bitrix24. It provides AI agents with standardized access to Bitrix24 features and data via the Model Context Protocol (MCP). The MCP server enables external AI systems to interact with Bitrix24 modules through a single standardized interface. You can connect the Bitrix24 MCP Server to the AI model you already use and manage Bitrix24 directly from it. The MCP server allows actions to be performed and data to be retrieved strictly within the access rights configured in your Bitrix24: the AI agent receives only the information and capabilities that are explicitly requested and authorized. Interaction with the Tasks module is supported (the list of supported modules and available actions is gradually expanding).

An enterprise-grade Oracle Database connector for MCP. Features built-in self-healing connection retries, TypeScript-based architecture, and AI-guided SQL error handling for autonomous agent workflows.

A powerful Model Context Protocol (MCP) server that supercharges your Python development workflow with AI-powered code review, intelligent test generation, and comprehensive test execution.

Zhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.

AI image generation using various models