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MicroEsim MCP connects your AI agent to global eSIM networks. Instead of manually browsing data plans, just tell your agent where you're going and when — it'll recommend the best 5G plan across 200+ countries based on your itinerary, dates, and budget. Instant, secure, and hassle-free. Travel smarter, not harder.

Deploy, manage, and scale full-stack applications directly from your AI assistant. 85+ tools covering projects, deployments, environments, domains, databases, security scanning, analytics, GitHub integration, template marketplace, and more. Supports GitHub repos, Docker containers, and file uploads across 11 runtimes and 15 frameworks.

103 production-ready AI agent tools with x402 micropayments. Hyperliquid DEX suite, prediction markets, DeFi liquidations, NFT data, trust scoring, B2B enrichment, web scraping, SEO, NLP, Solana, security audits. Pay-per-call USDC on Base. Zero API keys.

Full-stack air quality analytics platform built with FastAPI, React, and MySQL. Aggregates multi-source PM2.5/PM10 data, performs multi-city comparison and time-series forecasting (SARIMAX), and integrates an LLM-based planning agent with tiered access, secure APIs, and PDF reporting.

Manage cryptocurrency portfolios across multiple blockchains through integrated swaps, transfers, and real-time price tracking. Discover and execute DeFi yield strategies to earn passive income while monitoring risk scores and performance. Simplify complex blockchain tasks with automated payment authorizations and a comprehensive guide for secure asset management.

[glama](https://glama.ai/mcp/servers/@kimwwk/repo-crunch) 🐍 🏠 🍎 🪟 🐧 - MCP server that gives AI agents structured, ground-truth GitHub repository intelligence. Analyze tech stack, dependencies, architecture, health metrics, and security indicators with deterministic JSON output.

MCPCAN is a centralized management platform for MCP services. It deploys each MCP service using a container deployment method. The platform supports container monitoring and MCP service token verification, solving security risks and enabling rapid deployment of MCP services. It uses SSE, STDIO, and STREAMABLEHTTP access protocols to deploy MCP。

Provide a flexible and extensible server implementation for the Model Context Protocol to enable dynamic integration of LLMs with external data, tools, and prompts. Facilitate seamless interaction between language models and real-world resources through a standardized JSON-RPC interface. Enhance LLM applications by exposing customizable capabilities and resources securely and efficiently.

🏠 🍎 🚀 - An MCP server that securely interfaces with your iMessage database via the Model Context Protocol (MCP), allowing LLMs to query and analyze iMessage conversations. It includes robust phone number validation, attachment processing, contact management, group chat handling, and full support for sending and receiving messages.

Provide AI-powered real-time analysis and intelligence on NPM packages, including security, dependencies, performance, and quality metrics. Enable faster and safer package management decisions by integrating with Claude and Anthropic AI. Deliver comprehensive insights such as vulnerability scanning, download trends, and maintenance status to optimize your npm ecosystem.

Provide seamless access to Gmail functionalities including email sending, retrieval, label and thread management, and mailbox settings through a standardized interface. Enable secure OAuth2 authentication for personalized user access and support comprehensive Gmail API features. Simplify email management workflows by integrating Gmail capabilities into your applications or agents.

Generate production-ready n8n workflows from plain language. Validate, test, and auto-fix workflows to catch errors and improve reliability. Explore templates and a rich node library to design, optimize, and secure your automations. For free n8n hosting and to enjoy the full capabilities of n8n workflow builder, go to flowengine.cloud

Natural language to MongoDB aggregations and aggregation results that actually work. Has a couple of extra features under the hood besides "only" providing natural language to aggregation conversion: - secure data separation for multi-tenant usage - semantic vector search/RAG support with automated embedding creation - advanced lookup support - exclusion of keys - and more...

Rust-native AI inference & training engine. Block AttnRes linear-time transformer with profile-driven GPU dispatch, TurboQuant, GGUF/SafeTensors, LoRA, multimodal (vision/audio/video), FerrisRes Armor security. 39K LOC, 951 tests. Adapts to any GPU via wgpu — Intel iGPU to H100. No Python.

Provide integrated search capabilities across Google Scholar, Google Web, and YouTube to deliver comprehensive and simultaneous search results. Enhance your applications with secure, scalable, and enterprise-ready search features including caching, rate limiting, and monitoring. Simplify access to diverse search data sources through a unified MCP server interface.

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