Share MCP is a dedicated navigation site for Model Context Protocol (MCP), offering a comprehensive catalog of MCP-related resources, tools, and services. It features intuitive category navigation, real-time fuzzy search, and responsive design, making it easier for developers to discover and utilize MCP solutions efficiently. The site also includes full documentation links and elegant animations for a seamless user experience.

SwiftMCP is a Swift package designed to facilitate native API integration on iOS and macOS platforms through a JSON-RPC interface. It includes an OpenAI-compatible function calling bridge, allowing developers to seamlessly interact with Apple's native APIs like HealthKit. The package supports JSON-RPC 2.0, provides test coverage, and enables the creation of custom tools for enhanced functionality.

The Xero MCP Server is a Model Context Protocol (MCP) server designed to integrate with Xero's API, providing standardized access to accounting and business functionalities. It supports features like Xero OAuth2 authentication, contact management, invoice creation, and compliance with the MCP protocol. This server enables seamless integration with tools like Claude Desktop, allowing developers to manage Xero data programmatically.

This MCP server integrates Google Ads with Claude AI, enabling users to analyze advertising data through natural language conversations. It provides access to campaign information, performance metrics, keyword analytics, and ad management. The tool supports features like account management, campaign analytics, keyword performance analysis, and budget optimization, all accessible via simple chat interactions with Claude AI.

This Yeoman generator simplifies the process of creating a new MCP Server project by automating the setup and configuration. It includes tools for debugging and testing the server in VS Code, making it easier for developers to get started. The generator also provides a tutorial to guide users through creating their own MCP Server from scratch.

This MCP server facilitates integration between Feishu and AI encoding agents, allowing operations such as document reading, sending messages, contract approvals, and data processing. It provides a seamless way to connect Feishu with AI tools like cursor, enabling agents to interact with Feishu documents and workflows efficiently.

This MCP server fetches and analyzes real-time Arbitrum blockchain data, providing features like block information, transaction analysis, account balance checking, and network statistics. It leverages the Arbiscan API for data retrieval and uses Claude AI for AI-powered data interpretation. The server is designed to simplify blockchain data queries and enhance understanding of Arbitrum network activity.

The Pica MCP Server is a Model Context Protocol (MCP) implementation built in TypeScript, designed to integrate Claude Desktop with Pica's agentic tooling platform. It allows Claude Desktop to securely access and automate workflows across 70+ third-party services, including communication tools, data sources, and AI services. Features include multi-source data access, workflow automation, and enhanced LLM capabilities through API integration. The server supports Docker, npm, and manual installation, and includes debugging tools for development.

This MCP server provides a bridge between AI assistants and Microsoft Word documents, offering features like document creation, content addition, text formatting, and advanced document manipulation. It integrates with tools like Claude for Desktop, allowing users to perform complex Word operations programmatically. The server supports rich text formatting, table creation, and custom styles, making it a powerful tool for automating document workflows.

Agent Construct is a Model Context Protocol (MCP) server that standardizes how AI applications access tools and context. It provides a centralized hub for tool discovery, execution, and context management, built on the Model Context Protocol specification. Features include dynamic tool registration, FastAPI backend, event streaming, and modular design, making it scalable and easy to extend for AI applications.

The Asterisk MCP Server is a middleware component that connects to the Asterisk security API to provide real-time security analysis of code. It implements the Model Context Protocol (MCP) to expose security scanning tools to AI assistants like Claude, Cursor, and others, enabling them to analyze code for security vulnerabilities. Features include code snippet scanning, codebase scanning, change verification, and a graphical settings UI.

This project demonstrates the implementation of a Model Context Protocol (MCP) server and client, designed to integrate an AI chatbot with a backend service. The MCP server standardizes the interaction between the chatbot and the service, allowing for seamless data storage and retrieval. The project includes a simple AI chatbot that leverages OpenAI's API, showcasing how MCP can be used to enhance AI applications with custom backend integrations.

This Laravel package provides a robust implementation of the Model Context Protocol (MCP), enabling seamless integration of AI models with Laravel applications. It supports multiple transport options, including HTTP, WebSocket, and Stdio, and offers features like tool registration, resource management, prompt handling, and progress tracking. The package is designed to simplify the development of AI-powered applications by providing standardized interfaces and comprehensive documentation.