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This MCP server implementation provides Ethereum wallet management and blockchain interaction capabilities. Developed by zhangzhongnan928, it offers tools for creating and importing wallets, checking balances, sending transactions, and deploying/interacting with smart contracts via Infura. The server is designed for use cases requiring AI assistants to manage Ethereum wallets, execute transactions, or interact with EVM-compatible blockchains through a secure, locally-run interface.

This PostgreSQL MCP server implementation by Logesh provides AI assistants with direct database query execution capabilities for PostgreSQL databases. Built with Python using psycopg2, loguru, and FastMCP, it offers a single query_data tool that handles both SELECT queries (returning fetched rows with metadata) and write operations (INSERT, UPDATE, DELETE) with automatic transaction management. The implementation supports both stdio and HTTP transport modes, includes comprehensive error handling and logging, and is preconfigured to connect to a 'litellm' database with standard PostgreSQL credentials, making it suitable for AI-assisted database administration, data analysis workflows, and educational purposes where conversational database interaction is needed.

Provides security verification tools for AI agent skills through the Skvil network. Supports skill verification by SHA-256 hash with reputation scores and risk levels, community scan submission, on-chain certification checking (V1 through Gold levels via Solana SPL Memo transactions), and suspicious skill reporting. Includes automated Crucible behavioral analysis with static analysis across 32+ pattern categories and AI-driven triage.

This MCP server, developed by Apify, provides a web browsing interface for large language models and RAG pipelines. Built in JavaScript, it integrates with the RAG Web Browser Actor on the Apify platform to enable AI assistants to perform web searches, scrape content from top results, and fetch individual URLs. The implementation stands out by returning cleaned web content as Markdown and offering flexible search result limits. By connecting AI models with real-time web data, this server allows AI systems to access up-to-date information, analyze online content, and provide web-informed responses. It is particularly useful for scenarios like research tasks, content summarization, and building AI assistants that can leverage current web information to enhance their knowledge and capabilities.

A TypeScript-based MCP server that provides project-specific knowledge graph memory for LLM agents to store and retrieve entities, relations, and observations. It features disk-persistent storage and supports cross-project knowledge sharing to enhance agent long-term memory.

Document editing, AI writing, saved documents, DOCX downloads, PDF, STT, TTS and watermarking

Enables voice input for AI coding assistants by recording audio, transcribing it locally with Whisper, and optionally typing the text at the cursor position. Supports multiple languages and works with MCP-compatible tools like OpenCode, Claude Code, and Cursor.

A read-only MCP server that exposes Zephyr Scale Cloud test data to review a Jira story's test coverage, answering whether tests are adequate and passing.

Enables travel package management, booking, and itinerary planning through MCP-compliant endpoints with 26 tools for searching, comparing, and booking travel packages.

14 web scrapers as MCP tools for AI agents: Reddit, Amazon, Google Maps, Yelp, YouTube, Indeed & more.

Provides real-time Venezuelan economic data, including official and parallel exchange rates, inflation statistics, and basic goods basket prices. It enables AI assistants to query historical economic trends and current market indicators via natural language.

Connects MCP-powered AI agents to the decentralized Agent Network Protocol (ANP) for DID-based identity, agent discovery, and secure agent-to-agent communication.

MCP server for Legalize.dev, enabling AI to query and understand legal frameworks across countries via a structured legislation API.

npm MCP — wraps the npm Registry API (free, no auth)

Built by skyline-GTRr32, this server combines a FastAPI web server running on port 8000 with an MCP server that exposes six tools (get_todos, create_todo, update_todo, delete_todo, get_todo_by_id, and get_todo_stats) which communicate with the FastAPI backend via HTTP requests. The implementation uses in-memory storage with dummy data initialization and provides formatted responses with emoji indicators for task completion status, making it valuable for managing todo lists while showcasing how to bridge traditional web APIs with MCP protocol for seamless integration.

Enables AI agents to start and stop full-screen recordings on macOS using FFmpeg, with control over quality, FPS, and audio.

Enables Claude to access Apple Health data (sleep, heart rate, steps, etc.) via a self-hosted MCP server, bypassing regional restrictions.

Enables AI assistants to query YouTube search trend data, including rising topics, video keyword growth, and historical demand, using plain language.

Enables AI agents to automatically crawl online documentation, build local knowledge graphs, and semantic indexes to quickly establish a project knowledge base for Amazon Q Developer.