The PowerPlatform Model Context Protocol (MCP) Server enables intelligent access to PowerPlatform/Dataverse entities and records. It offers features like entity metadata exploration, advanced OData query support, relationship mapping, and AI-assisted query building. This tool is designed to work with MCP-compatible clients, providing context-rich prompts and streamlined data modeling for PowerPlatform environments.

This project provides a Telegram client library and an MCP (Model Context Protocol) server, allowing AI assistants to authenticate with Telegram, manage sessions, retrieve messages, and filter content. The MCP server facilitates integration with AI tools like Claude, enabling search, message retrieval, and pattern-based filtering for Telegram channels.

The WithSeismic MCP Server Template provides a robust framework for developers to build and host AI tools and prompts. It supports both remote server mode for production deployments and local mode for development and testing. The template includes features like auto-discovery, type safety, and scalable architecture, making it ideal for AI tool developers, teams, and organizations. It simplifies the process of exposing services to AI models through a standardized interface, allowing developers to focus on building great tools rather than managing infrastructure.

The Thirdweb MCP Server provides a unified interface to access thirdweb's suite of blockchain tools and services through the standardized Model Context Protocol. It supports multiple communication transports and integrates with various thirdweb services, including Nebula for onchain execution, Insight for blockchain data analysis, and Engine for backend infrastructure. This server enables seamless integration with MCP-compatible clients, offering real-time on-chain analysis, contract interactions, and data querying capabilities.

The Oracle Database Context Server is a Model Context Protocol (MCP) implementation designed to help AI assistants like GitHub Copilot and Claude understand and interact with large Oracle databases. It intelligently caches and serves database schema information, allowing AI tools to look up table schemas, search for tables, and understand relationships and foreign keys. The server supports integration with GitHub Copilot in VSCode, enabling seamless database context access during development.

This MCP server provides advanced HTTP request capabilities, including realistic browser emulation with accurate TLS/JA3/JA4 fingerprints, allowing models to interact with websites naturally and bypass anti-bot measures. It also supports converting PDF and HTML documents to Markdown for easier processing by large language models (LLMs). Features include comprehensive HTTP methods, browser fingerprinting, content handling, authentication support, and SSL security.

The CTF-MCP-Server project provides two Python-based servers: one for solving CTF puzzles (ctftools_Puzzle_server) and another for generating CTF challenges (ctftools_feces_making_machine_server). It integrates with AI tools to enhance the efficiency and creativity of CTF problem-solving and creation. The server can be configured using a JSON file, making it adaptable for various use cases.

This MCP server enables users to integrate Google Search Console data with Claude Desktop, allowing for advanced SEO analytics and visualization. It supports features like comparing time periods, generating visual reports, and uncovering optimization opportunities by analyzing click-through rates, impressions, and ranking shifts. The server is designed to be beginner-friendly and requires minimal technical skills to set up and use.

This MCP server facilitates seamless integration between Discord and MCP-compatible applications such as Claude Desktop. It provides tools for message and channel management, allowing users to send, read, and manage messages directly through Discord. The server is built using Java and supports Docker for easy deployment.

MCPOmni Connect is a powerful command-line interface (CLI) designed to serve as a universal gateway to the Model Context Protocol (MCP) ecosystem. It seamlessly integrates multiple MCP servers, AI models, and various transport protocols into a unified interface. Key features include multi-protocol support, advanced LLM integration, dynamic tool and resource management, and secure communication. It supports OpenAI, OpenRouter, and Groq models, enabling intelligent context management and cross-server tool orchestration.

RhinoMCP integrates Rhino 3D with Claude AI using the Model Context Protocol (MCP), allowing users to perform AI-assisted 3D modeling tasks. The system supports two-way communication, object manipulation, and document inspection within Rhino. It consists of a Python-based MCP server and a Rhino plugin, enabling seamless interaction between AI and 3D modeling workflows.

MCPOmni Connect is a powerful command-line interface (CLI) designed to seamlessly connect to various Model Context Protocol (MCP) servers. It supports stdio transport, integrates with OpenAI models, and offers dynamic tool and resource management. The CLI enables multi-protocol support, AI-powered intelligence, and secure communication, making it a universal gateway to the MCP ecosystem.