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AWS MCP Servers awslabs/mcp
Give an assistant AWS documentation and selected cloud-operation tools.
What is AWS MCP Servers? Prepared by LessAI Tools from public project documentation
AWS Labs maintains separate MCP servers for documentation, infrastructure and other AWS tasks. Start with the documentation server if you only need reference material. Local packages use uv and Python; account operations require the relevant AWS permissions and can incur cloud charges. AWS is moving some capabilities to Agent Toolkit for AWS, so check the selected server's current guidance.
AWS MCP Servers setup documentation Setup requirements have not been reviewed yet. Check the project’s setup guide.
Setup and usage guide ↗ Based on public documentation; not individually installed and tested here.
AWS MCP Servers use cases Search and read official AWS documentation Choose tools for database, deployment or cost tasks Install only the individual servers you need Official project & documentation The project’s original description Open source MCP Servers for AWS Alternatives to AWS MCP Servers for similar tasks Matches the main use case first, then shared tasks and stars. Setup methods may differ.
Cloudflare API MCP — Let an assistant find Cloudflare API operations and use them with your permission.Graphify — Map code and document relationships to help AI find relevant context.REA — Reverse Engineer Anything — Let AI investigate how an application's features work and return code and runtime evidence you can check.
Sources and ranking × This directory lists AI development plugins with public source code and a clear purpose. Browse by task, then open an introduction to learn what a project does, who it is for, and what you need to get started. It covers selected projects, not every AI plugin.
How do the three plugin types differ? Tool connections (MCP) let AI assistants use external tools such as browsers, code repositories and databases. MCP is the protocol used for these connections.
Reusable skills give a compatible AI assistant instructions and guidance for a particular task.
Editor plugins run inside the software you use to write code, adding AI chat, completions or suggested edits.
How does “Most starred” work? Projects are sorted by their total GitHub stars. Stars indicate interest; they are not downloads, active users or quality scores. A skill pack counts as one project. Daily star growth is not shown without historical records.
What does “Recently updated” mean? It uses the most recent code push, which may not be a new release. The 7-day filter checks that project update time; ranking still uses all-time stars. Each introduction shows when its star count was collected. Failed updates keep the last saved data.
Introductions are based on public project documentation. These projects have not each been installed and tested here. Check the project documentation for setup, compatibility and service costs. Refreshing this list only reads saved data; it does not start collection.
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