With the model context protocol connecting AI agents to the “USB-C ports” of world tools and data, these authoritative blogs and websites are essential for anyone aiming to leverage MCP for enterprise integration, development, or research. Here is a list of the top MCP resources you need to follow in 2025 (LIVE):
1. Official MCP website for personification
- Why visit: The source of MCP – Directly from its creators. The center includes protocol specifications, quick start, concept overview and real-world integration guide. Anthromorphism creates the “USB-C” metaphor of “AI” that helps clarify the role of MCP in replacing fragmented APIs with a single universal standard.
- feature:
- Protocol documentation, reference implementation and server/client examples.
- Guide to integration with LLMs such as Claude and enterprise workflows.
- The concept of building proxy applications using MCP.
- Who is it: Developers, architects, and anyone who establishes a tool, server or AI product that connects to MCP.
2. GitHub – Wong2/Great MCP waiter
- Why visit: The most comprehensive and comprehensive community-driven directory of MCP servers, use cases and open source projects. Maintained by Chathub and contributors, this repository directory officially supports, reference and experimental MCP servers, almost all API, database, cloud and SaaS integrations can be imagined.
- feature:
- A list of periodic upgrades to MCP servers with description and direct links.
- Highlight reference servers for prototypes, secure file operations, web content extraction, financial integration, and more.
- A valuable launchpad for finding implementation details and real-world MCP server code.
- Who is it: Builders looking for real MCP server examples or want to connect their own tools to the ecosystem.
3.Marktechpost – MCP Category
- Why visit: Marktechpost provides in-depth technology diving, FAQs, case studies, and news coverage on MCP adoption, construction and enterprise use. Their dedicated MCP section is a must read for anyone trying to evolve, best practices and industry integration.
- Key Articles:
- “Model Context Protocol (MCP) FAQ: Everything You Need to Know in 2025”
- “Enterprise Model Context Protocol (MCP): Secure Integration with AWS, Azure, and Google Cloud – 2025 Update”
- “The key factor driving successful implementation and adoption”
- Who is it: Technology leader, corporate architect, CTOS plans MCP-based solutions.
4. CloudFlare Blog – MCP Guides and Announcements
- Why visit: CloudFlare is a leader in making MCP servers easy to deploy and scale globally. Their blog teaches how to host remote MCP servers, enable OAuth authentication, and build Agentic AI workflows with minimal operational overhead.
- feature:
- Tutorials for deploying and protecting MCP servers using OAuth on CloudFlare workers.
- Industry experts’ insightful comments on how MCP “translates” between AI and the broader digital landscape.
- Updates on new tools for MCP server management and remote hosting.
- Who is it: The DevOps team, AI product manager, organization uses CloudFlare as a proxy-based application platform.
5. AWS Machine Learning Blog – MCP & AI Integration
- Why visit: AWS’s ML blog demonstrates how MCP can change the cloud AI landscape. Detailed walkthroughs show how to extend a large language model (LLM) using AWS-powered MCP servers for automation, context intelligence, and workflow integration.
- feature:
- Examples link MCP clients with AWS documentation, APIs, and custom tools.
- Technical Guide to Using MCP with Amazon Sagemaker, Bedrock, and other AWS services to Architect AI Agents.
- Workflow automation and security best practices for enterprise cloud AI.
- Who is it: Cloud developers, ML engineers, and solution architects work on AWS-based AI.
- Why visit: Heartbeat for the MCP user and developer community. This subreddit provides:
- Real-time discussions, crowdsourcing troubleshooting, and shared implementation stories.
- Quick feedback and practical advice from MCP server builders and integrators.
- Public Q&A and discover the latest server, registry plan and proxy workflows.
- Who is it: Builders, integrators, newcomers and researchers seek unfiltered, peer-to-peer knowledge and the latest grassroots trends.
Michal Sutter is a data science professional with a master’s degree in data science from the University of Padua. With a solid foundation in statistical analysis, machine learning, and data engineering, Michal excels in transforming complex data sets into actionable insights.
