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    This MCP server enables AI assistants to search for images on Wikimedia Commons, providing detailed metadata and optional thumbnail combinations to assist AI models in visual comparisons.
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    A foundation layer for building production-grade Model Context Protocol (MCP) servers with base classes, documentation, and consistent implementation patterns.
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    A TypeScript template for building Model Context Protocol servers that provides a structured foundation with automated tools, testing, and synchronization capabilities.
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    A foundation for building custom local Model Context Protocol (MCP) servers that provide tools accessible to AI assistants like Cursor or Claude Desktop.
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    MIT
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    A standardized foundation for building Model Context Protocol servers that integrate with VS Code, using Python with stdio transport for seamless AI tool integration.
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    A starter template for building MCP servers with SQLite database integration. Provides a foundation with SQL query tools, database seeding capabilities, and a development client for testing.
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    A Model Control Protocol server template deployed on Vercel that demonstrates MCP implementation with a dice rolling tool, serving as a foundation for building custom MCP servers.
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    A foundation for developing custom Model Context Protocol servers in TypeScript that connects AI assistants with external APIs and data sources using a complete layered architecture pattern.
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    A basic MCP server example that provides simple arithmetic tools (addition and subtraction) and personalized greeting resources. Serves as a foundation for learning MCP server implementation and development.
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    A TypeScript-based test implementation for the Model Context Protocol (MCP) with example configurations and Jest test cases. Provides a development foundation for building and testing MCP server functionality.
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    MIT
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    A proof-of-concept MCP server that enables reading local files and performing basic arithmetic operations. It provides a simple foundation for understanding how tools are exposed to MCP clients.
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    A basic MCP server template that provides a foundation for building custom tools, resources, and prompts. Serves as a starting point for developers to create their own MCP server functionality.
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    A template MCP server built with mcp-framework that provides a foundation for building custom tools. Currently includes example tool implementations that can be extended for HR management system integrations.
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    • Apple
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    A Python-based template for creating modular command center servers using the Mondel Context Protocol that provides a structured foundation for building scalable applications with mathematical operations and modular arithmetic functions.
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    A minimal FastMCP server template for quick deployment to Render with streamable HTTP transport. Provides a foundation for building custom MCP servers with easy local development and one-click deployment capabilities.
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    A remote MCP server template for deployment on Cloudflare Workers without authentication. Provides a foundation for building custom MCP tools that can be accessed from Claude Desktop or Cloudflare AI Playground.
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    Integrates Jina AI Search Foundation APIs to provide web page content extraction and search capabilities. It supports automatic pagination, result caching, and both standard and VIP search endpoints for enhanced information retrieval.
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    MIT
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    A starter template for building MCP servers in Python using the streamable HTTP transport protocol. Provides a foundation with the MCP Python SDK and example configuration to quickly develop custom MCP servers.
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    A production-ready foundation template for building Model Context Protocol (MCP) servers with FastAPI, featuring modular tools, comprehensive testing, and OpenShift deployment configurations. Includes automated transformation scripts to create custom domain-specific MCP servers.
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    Apache 2.0
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    A deployment template for running Model Context Protocol servers as Vercel Functions. It provides a foundation for developers to build and host custom tools, prompts, and resources with optimized execution for MCP client integration.
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    MIT
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    A TypeScript-based boilerplate for building Model Context Protocol (MCP) servers using the official SDK and Zod. It provides a structured foundation with a decoupled architecture to simplify the creation and registration of custom MCP tools.
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    A basic Model Context Protocol (MCP) server implementation that provides a foundation for MCP server development. The README doesn't specify particular functionality, suggesting it may be a template or starting point for building custom MCP servers.
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    A starter template for building MCP (Model Context Protocol) servers with TypeScript support. Provides a clean foundation with example tools, resources, and prompts for creating custom integrations with Claude, Cursor, or other MCP-compatible AI assistants.
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    A TypeScript template for building remote Model Context Protocol (MCP) servers with modern tooling including Vite, Express, and Docker support. Provides a foundation with an example echo tool to help developers quickly create custom MCP servers.
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    Enables Claude to delegate tasks to IBM watsonx.ai foundation models (Granite, Llama, Mistral) for text generation, chat, embeddings, and document analysis. Supports two-agent architectures where Claude can leverage IBM's enterprise AI capabilities for specialized workloads.
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    MIT
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    A starter template for building MCP (Model Context Protocol) servers that integrate with Claude, Cursor, or other MCP-compatible AI assistants. Provides a clean foundation with TypeScript support, example tool implementation, and installation scripts for quick customization.
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    A starter template for building MCP (Model Context Protocol) servers that can integrate with Claude, Cursor, or other MCP-compatible AI assistants. Provides a foundation with example implementations of tools, resources, and prompts along with installation scripts.
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    A Model Context Protocol (MCP) server built with the mcp-framework for developing and managing custom tools. It provides a structured foundation for building and integrating modular components like data processors and API clients into Claude Desktop.
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    • Apple
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    A production-ready TypeScript MCP server providing basic tools (add, echo, timestamp), resources (server info, greetings, data access), and prompt templates (analyze, code-review, summarize). Serves as a foundation for building custom MCP servers with extensible architecture.
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    A TypeScript template for building MCP servers with HTTP transport that provides a foundation for creating integrations between AI assistants and custom tools. Includes example implementations and development tooling to help developers create their own MCP servers.
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    An MCP server that enables automated dataset creation and custom object detection model training through natural language interactions. It integrates foundation models like GroundedSAM for auto-labeling and supports training specialized YOLOv8 models using local or Unsplash images.
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    A starter template for building MCP servers with TypeScript support, example tools, and automated installation scripts for Claude Desktop, Cursor, and other MCP-compatible AI assistants. Provides a foundation for creating custom tools, resource providers, and prompt templates.
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