--- title: Best MCP posts of 2025 | daily.dev description: The most upvoted MCP posts of 2025, curated by the daily.dev community. canonical: https://daily.dev/tags/mcp/best-of/2025 twitter:card: summary_large_image twitter:site: @dailydotdev og:url: https://daily.dev/tags/mcp/best-of/2025 og:type: website og:site_name: daily.dev og:title: Best MCP posts of 2025 | daily.dev og:description: The most upvoted MCP posts of 2025, curated by the daily.dev community. og:image: https://media.daily.dev/image/upload/s--VAY5ToZt--/f_auto/v1724209435/public/daily.dev%20-%20open%20graph --- # Best of MCP — 2025 1. 1 [](/posts/9-mcp-projects-for-ai-engineers-3qzrrdjpr "9 MCP Projects for AI Engineers") Article Daily Dose of Data Science | Avi Chawla | Substack · 1y 9 MCP Projects for AI Engineers A comprehensive collection of 9 Model Control Protocol (MCP) projects designed for AI engineers, covering various applications from local MCP clients and agentic RAG systems to voice agents and synthetic data generators. The projects demonstrate how to integrate MCP with popular tools like Claude Desktop and Cursor IDE, enabling developers to build more sophisticated AI applications with enhanced tool connectivity and context sharing capabilities. 615 12 2. 2 [](/posts/chatmcp-mcp-directory-directory-for-awesome-mcp-servers-j2brgqzy2 "chatmcp/mcp-directory: directory for Awesome MCP Servers") Article Community Picks · 2y chatmcp/mcp-directory: directory for Awesome MCP Servers A comprehensive guide on setting up a directory for Awesome MCP Servers. The instructions cover cloning the repository, installing dependencies, setting up a database with Supabase, configuring environment variables, and running a development server. 208 2 3. 3 [](/posts/the-full-mcp-blueprint-61ugjgkdm "The Full MCP Blueprint") Article Daily Dose of Data Science | Avi Chawla | Substack · 1y The Full MCP Blueprint MCP (Model Context Protocol) provides a standardized way for LLMs to interact with tools and capabilities, solving the M×N integration problem where every tool needs manual connection to every model. The protocol enables dynamic tool discovery, plug-and-play interoperability between systems like Claude and Cursor, and transforms AI development from prompt engineering to systems engineering. MCP uses a Host-Client-Server architecture with JSON-RPC communication and supports various transport mechanisms including Stdio and HTTP. 186 4. 4 [](/posts/how-i-built-a-local-mcp-server-to-connect-obsidian-with-ai-d0u3s760x "How I Built a Local MCP Server to Connect Obsidian with AI") Article Medium · 1y How I Built a Local MCP Server to Connect Obsidian with AI The post details the process of building a custom MCP server to connect personal knowledge bases in Obsidian with AI tools, enabling enhanced, context-aware assistance. It discusses the motivation behind the project, the use of Claude Desktop, and the implementation of the server using Python and FastMCP. The post highlights the ability of AI models to perform tasks like identifying incomplete notes and generating questions from existing content. Emphasizing security and control, it provides insights on integrating local AI resources and suggests future steps for independence from external providers. 169 3 5. 5 [](/posts/your-ultimate-mcp-server-hub-eusispywg "Your Ultimate MCP Server Hub") Article Community Picks · 1y Your Ultimate MCP Server Hub MCPHub is a unified management platform that consolidates multiple Model Context Protocol (MCP) servers into a single Server-Sent Events (SSE) endpoint. It provides a dashboard for monitoring server status and simplifies infrastructure management for AI applications. The tool can be quickly deployed using Docker and allows customization through JSON configuration files. 157 6. 6 [](/posts/arindam200-awesome-ai-apps-collection-of-ai-applications-kveg9cxaw "Arindam200/awesome-ai-apps: Collection of AI Applications") Article Community Picks · 1y Arindam200/awesome-ai-apps: Collection of AI Applications A curated collection of AI application examples and tutorials featuring popular frameworks like LangChain, LlamaIndex, CrewAI, and Pydantic AI. The repository includes practical implementations of chatbots, AI agents, and LLM-powered applications, along with integration examples for various tools and APIs. It provides setup instructions, video tutorials, and welcomes community contributions for building modern AI applications. 143 4 7. 7 [](/posts/building-mcp-servers-and-clients-from-scratch-a-comprehensive-guide-wmy2zivjl "Building MCP Servers and Clients From Scratch: A Comprehensive Guide") Article Collections · 1y Building MCP Servers and Clients From Scratch: A Comprehensive Guide Model Context Protocol (MCP) is a communication framework for AI client-server interactions built around four components: tools, resources, prompts, and samplings. The guide covers building MCP servers and clients using TypeScript with Node.js, including integration with GitHub Copilot and debugging with MCP Inspector. It also explores .NET 10's native MCP support for creating AI assistant extensions, featuring weather and random number tools, with streamlined publishing to NuGet for community distribution and dependency management. 138 8. 8 [](/posts/docker-mcp-toolkit-hassle-free-local-agentic-ai-with-mcp-servers-qnha0k1qf "Docker MCP Toolkit: Hassle-Free Local Agentic AI with MCP Servers") Article Thomas Thornton · 1y Docker MCP Toolkit: Hassle-Free Local Agentic AI with MCP Servers Docker MCP Toolkit simplifies running Model Context Protocol servers locally, enabling AI agents to interact with APIs, cloud services, and tools without complex configuration. The toolkit provides a Docker Desktop extension with a searchable catalog of MCP servers for GitHub, Jira, Terraform, and more. It offers secure containerized environments, instant connections to AI tools like GitHub Copilot and Claude, and eliminates manual setup overhead for developers building agentic AI workflows. 137 1 9. 9 [](/posts/understanding-mcp-authorization-mp2ofxlrx "Understanding MCP Authorization") Article portkey · 42w Understanding MCP Authorization MCP (Model Context Protocol) requires authorization controls as it moves from local experimentation to production deployments. The protocol enables AI models to interact with external tools and APIs dynamically, but without authorization, every connected client can access all exposed tools. Authorization in MCP works through server-side enforcement at request time, not connection time, using patterns like token-based authorization, scoped capability access, and role-based policies. Best practices include applying least privilege, using short-lived scoped tokens, authorizing every tool call individually, and making all access auditable. Strong authorization boundaries are essential for safely deploying MCP in shared environments and production systems. 120 10. 10 [](/posts/top-5-mcp-server-best-practices-vxxuipxq9 "Top 5 MCP Server Best Practices") Article Docker · 1y Top 5 MCP Server Best Practices Five essential best practices for building MCP (Model Context Protocol) servers: manage tool budget by avoiding one-tool-per-endpoint patterns, design for AI agents rather than end users with proper error handling, document for both human users and AI agents, test user interactions beyond just functionality using MCP inspector, and package servers as Docker containers for portability. The guide emphasizes that AI agents are the actual consumers of MCP tools, requiring different design considerations than traditional user-facing APIs. 102 11. 11 [](/posts/10-mcp-rag-and-ai-agents-projects-4tm9nanlx "10 MCP, RAG and AI Agents Projects") Article Daily Dose of Data Science | Avi Chawla | Substack · 1y 10 MCP, RAG and AI Agents Projects A curated collection of 10 advanced AI engineering projects covering MCP-powered applications, RAG systems, and AI agents. Projects include video RAG with exact timestamp retrieval, corrective RAG with self-assessment, multi-agent flight booking systems, voice-enabled RAG agents, and local alternatives to ChatGPT's research features. The repository contains 70+ hands-on tutorials focusing on real-world implementations of LLMs, memory-enabled agents, multimodal document processing, and performance optimization techniques like binary quantization for 40x faster RAG systems. 99 12. 12 [](/posts/build-an-mcp-server-to-connect-to-200-data-sources-dfvigbgjk "Build an MCP Server to Connect to 200+ Data Sources") Article Daily Dose of Data Science | Avi Chawla | Substack · 1y Build an MCP Server to Connect to 200+ Data Sources A guide to building a Model Context Protocol (MCP) server using MindsDB that can connect to over 200 data sources including Slack, Gmail, GitHub, and Hacker News. The setup uses Docker for local hosting and integrates with Cursor IDE, providing tools to list databases and query federated data through a unified interface. The implementation demonstrates practical use cases like fetching Hacker News data, sending formatted summaries to Slack, and retrieving Gmail messages. 98 13. 13 [](/posts/figma-mcp-complete-guide-hqsit2x70 "Figma MCP: Complete Guide") Article UX Planet · 1y Figma MCP: Complete Guide Figma MCP (Model Context Protocol) enables AI code generators like Cursor to understand Figma designs at a semantic level, providing better design-to-code conversion than screenshot-based approaches. The guide covers setup requirements including Figma Desktop app and compatible code editors, configuration steps for both Figma and Cursor, and troubleshooting common issues like 'get\_code' and 'get\_image' errors. MCP offers design token awareness and semantic precision, allowing AI to access exact variable names, hierarchy, and constraints for better alignment with design systems. 93 3 14. 14 [](/posts/rapidmcp---convert-your-rest-api-into-an-mcp-server-in-minutes--zuposzl82 "RapidMCP - Convert your REST API into an MCP Server in minutes!") Article Product Hunt · 1y RapidMCP - Convert your REST API into an MCP Server in minutes! RapidMCP allows the conversion of REST API specifications into MCP servers in minutes without any coding. It aims to streamline the process of making APIs MCP-ready, including considerations for OpenAPI Swagger spec and authentication. 92 2 15. 15 [](/posts/docker-mcp-for-ai-agents-real-world-developer-setup-pk7w7rldb "Docker MCP for AI Agents: Real-World Developer Setup") Article Docker · 1y Docker MCP for AI Agents: Real-World Developer Setup A comprehensive guide to building AI agents using Docker MCP Toolkit, demonstrating how to create a GitHub repository question-answering agent. The setup uses Docker containers for isolation, MCP Gateway for tool integration, and Docker Compose for orchestration. The approach eliminates environment drift, simplifies scaling, and provides a production-ready development pattern that works consistently from local development to CI/CD pipelines. 82 16. 16 [](/posts/build-next-js-mcp---your-website-mcp-server-in-1-app--z5lqrpjew "Build Next.js MCP - Your Website & MCP-Server In 1 App!") Video ByteGrad · 1y Build Next.js MCP - Your Website & MCP-Server In 1 App! A comprehensive tutorial demonstrating how to build a Next.js application that includes both a traditional website and an MCP (Model Context Protocol) server in a single app. The guide covers creating MCP tools that AI agents can invoke, implementing course recommendation functionality based on user experience level, deploying to Vercel with Redis integration, and testing the MCP server with GitHub Copilot. The tutorial also showcases CodeRabbit for automated code reviews and includes practical examples of AI agent interactions with custom MCP endpoints. 82 2 17. 17 [](/posts/i-gave-claude-root-access-to-my-server-model-context-protocol-explained-if3rxvfvt "I gave Claude root access to my server... Model Context Protocol explained") Video Fireship · 2y I gave Claude root access to my server... Model Context Protocol explained Developers are increasingly adopting the model context protocol (mCP), which is a new standard for building APIs that provides better context for large language models (LLMs). By connecting resources and tools in a server environment, mCP allows these models to perform tasks like writing to databases or managing cloud infrastructure. The post explains how to set up an mCP server, highlights its advantages over traditional API architectures, and discusses the future impact of AI-generated code. 80 1 18. 18 [](/posts/grep-a-million-github-repositories-via-mcp-3dj9iwu9u "Grep a million GitHub repositories via MCP") Article Vercel · 1y Grep a million GitHub repositories via MCP Grep now supports the Model Context Protocol (MCP), allowing AI agents to search over a million public GitHub repositories through a standardized interface. The MCP server can be easily integrated with AI clients like Cursor and Claude, enabling agents to query code patterns and retrieve relevant snippets in real-time. Vercel built the MCP server quickly using their mcp-handler package, which simplifies the process of exposing existing APIs to AI clients. 77 2 19. 19 [](/posts/an-mcp-powered-voice-agent-webxznu6h "An MCP-powered Voice Agent") Article Daily Dose of Data Science | Avi Chawla | Substack · 1y An MCP-powered Voice Agent A technical demonstration of building a voice agent using Model Context Protocol (MCP) that can query databases and perform web searches. The system uses AssemblyAI for speech-to-text, Firecrawl for web search, Supabase as the database, LiveKit for orchestration, and Qwen3 as the LLM. The agent transcribes user speech, determines whether to query the database or search the web, and responds via text-to-speech. 73 5 20. 20 [](/posts/how-to-start-your-own-mcp-server-with-n8n-29jqecu6r "How to Start Your Own MCP Server with n8n") Article ITNEXT · 1y How to Start Your Own MCP Server with n8n n8n version 1.88.0+ includes built-in Model Context Protocol (MCP) support, allowing users to expose workflows as AI-usable tools through MCP Server Trigger nodes and connect to other MCP servers via MCP Client Tool nodes. The guide covers setting up MCP endpoints, configuring authentication, exposing tools, and connecting with AI agents, all without requiring additional installations or Docker images. 68 21. 21 [](/posts/php-mcp-server-core-php-implementation-for-the-model-context-protocol-mcp-server-ys6sapkeb "php-mcp/server: Core PHP implementation for the Model Context Protocol (MCP) server") Article Community Picks · 1y php-mcp/server: Core PHP implementation for the Model Context Protocol (MCP) server php-mcp/server is a PHP library designed to simplify the creation of Model Context Protocol (MCP) compliant servers. It facilitates exposing PHP methods as MCP Tools, Resources, or Prompts using PHP 8 Attributes, supporting a specific protocol version and integrating with various MCP clients. The library is PSR-compliant, allowing flexible configurations and integration with different PHP frameworks. Users can set up MCP elements using attribute-based definitions or manual registration, and the package supports multiple transport mechanisms including stdio and HTTP+SSE. 70 4 22. 22 [](/posts/mcp-integration-with-4-popular-agentic-frameworks-gojamcx1c "MCP Integration with 4 Popular Agentic Frameworks") Article Daily Dose of Data Science | Avi Chawla | Substack · 1y MCP Integration with 4 Popular Agentic Frameworks Part 8 of an MCP crash course demonstrates how to integrate Model Context Protocol with four popular agentic frameworks: LangGraph, CrewAI, LlamaIndex, and PydanticAI. The tutorial provides step-by-step practical walkthroughs for connecting MCP to each framework, along with detailed implementations. This builds on previous parts covering MCP fundamentals, custom client development, tools/resources/prompts, sampling integration, and security considerations including testing and sandboxing. 67 23. 23 [](/posts/build-a-100-local-mcp-server-and-client-yiqujqcxf "Build a 100% local MCP Server and Client") Article Daily Dose of Data Science | Avi Chawla | Substack · 1y Build a 100% local MCP Server and Client Learn to build a completely local Model Context Protocol (MCP) server and client setup for enterprise-grade AI applications. The tutorial covers creating MCP servers using FastMCP, building secure local clients with mcp-use library, and integrating with Stagehand for browser automation. This approach keeps data on your own servers while enabling AI agents to perform tasks like web scraping and form filling through natural language commands. 58 24. 24 [](/posts/learn-mcp-servers-with-python-easy--kkmutxohz "Learn MCP Servers with Python (EASY)") Video YouTube · 2y Learn MCP Servers with Python (EASY) This post provides a crash course on mCP servers, explaining their theory, how to create and use them with Python, and integrating AI assistants to check for the latest library documentation. It includes guidance on creating, setting up, and debugging mCP servers using Python, and also covers their use in both cloud desktop and cloud code environments. 53 1 25. 25 [](/posts/finally-mcp-servers-can-deliver-ui-rich-experiences--0hjhcck0j "Finally, MCP Servers Can Deliver UI-rich Experiences!") Article Daily Dose of Data Science | Avi Chawla | Substack · 43w Finally, MCP Servers Can Deliver UI-rich Experiences! MCP servers traditionally only return text/JSON responses without UI capabilities. The open-source mcp-use framework solves this by letting developers create React components that automatically register as MCP tools and render as interactive widgets in ChatGPT. Components placed in a resources/ folder become callable tools with zero boilerplate—no duplicate schemas or manual registration needed. The framework supports the full React ecosystem, hot reloading, and automatic theme syncing with ChatGPT's light/dark mode. 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