Everything in the Model Context Protocol ecosystem in one place.
We provide the most complete solution for connecting AI and tools.
Helps developers quickly find and apply optimal MCP solutions.
mcipe is not just a simple directory. It analyzes tens of thousands of MCP projects on GitHub in real-time and provides optimized combinations for each project through an AI-based recommendation system. Our goal is to make the complex MCP ecosystem easily navigable for everyone..
Since Anthropic released the Model Context Protocol (MCP) to the world on November 25, 2024, a completely new ecosystem has been experiencing explosive growth.
Among the hundreds of MCP projects flooding in every week
How can we choose a truly high-quality MCP?
It's virtually impossible to manually check tens of thousands of GitHub repositories, read their READMEs, and assess code quality.
mcipe uses automated analysis and AI algorithms to evaluate project activity, code quality, and documentation levels to recommend only verified high-quality MCPs.
Research that takes days, reduced to just minutes. Find the optimal MCP quickly with verified data and smart filters.
"Now finding good MCPs is mcipe's job"
We recommend the most suitable MCP by analyzing various indicators such as project activity, code quality, and community response.
We scan tens of thousands of GitHub repositories daily to provide the latest information. Track stars, forks, and commit activity in real-time.
You can quickly find the desired MCP by filtering with various conditions such as category, language, license, difficulty level, and more.
Discover hot projects that are recently created and actively under development. Don't miss new technology trends.
Find the MCP you want quickly with categories segmented by function such as database, AI, development tools, and more.
We index 99% of MCP projects worldwide, providing the most comprehensive database.
No need to visit dozens of GitHub pages individually - compare and decide on all information in one place. Reduces average search time by 90%.
Automated crawlers analyze README, code, and release information to automatically generate accurate categories and tags. Ensures consistent and systematic classification.
Our AI recommendation algorithm based on 6 key metrics eliminates subjective evaluation and provides data-driven objective rankings.
Our 24/7 automated system discovers new projects and tracks changes in existing projects. Always providing the latest information.
From Korean, English, Chinese, Japanese to Swahili, Icelandic
mcipe is not simply a platform for English-speaking developers only. It is perfectly translated and provided in 63 languages so that all developers worldwide, regardless of where they are or what language they use, can easily access the MCP ecosystem.
Perfect translation to 63 languages thanks to Claude Opus 4
Thanks to Claude Opus 4's exceptional multilingual capabilities, mcipe can now provide services to developers worldwide in their native languages.
Simultaneous Translation in 63 Languages - Translation that maintains technical accuracy while capturing the natural expression of each language
Context-Based Translation - Smart translation that reflects developer community language habits, not just literal translation
Real-time Translation Support - New content instantly available in 63 languages
Breaking down language barriers worldwide with Claude Opus 4
Over 18,586 MCP servers and clients are waiting for you.