Remote Servers
32,689 MCP servers with a hosted endpoint. Nothing to install: copy the URL and connect.
Version Control
AI-powered website feedback, visual bug reporting, and website annotation MCP server. Connect AI coding assistants to Vynix to capture website feedback, create GitHub issues, access project data, and automate developer workflows.
An MCP (Model Context Protocol) server providing hybrid semantic search over code across a set of GitHub repositories that you list in config.yaml. It parses symbols with Tree-sitter and indexes both code and git commit history, so AI clients can query them by natural language or other methods.
When your AI runs git through a shell, it reads back raw command output — hundreds of tokens of noise to extract one piece of information. GitEasy MCP returns structured data: branch names, changed files, commit history — exactly what your AI needs, nothing extra. The same git op
Mowgli is an intelligent product canvas that connects to your coding agent over MCP or as an Agent Skill. Use it to turn an existing frontend or GitHub repo into pixel-perfect, editable React + Tailwind designs, iterate on them in natural language, and sync the results back into
Hosted, read-only MCP server for Auralogs production logs. Agents search logs, inspect errors with full stack and metadata, and review AI analyses (diagnosis, suggested fix, PR link) over Streamable HTTP with a project-scoped read key. Free tier: 10,000 logs/month.
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.
