awslabs/mcp
Open source MCP Servers for AWS
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
Loading star history...
Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
Ranks #9 among Cloud repositories tracked this week, and #9 over the last 30 days; #521 of 2,845 repositories GStars tracks this week (top 18%).
5 releases in the last 90 days, the latest today, with 337 contributors on GitHub.
Use Cases & Benefits
- Provides a suite of open source MCP servers that enable AI applications to access and interact with AWS services and documentation via the Model Context Protocol.
- Enhances AI model outputs by supplying up-to-date AWS context, reducing hallucinations and improving accuracy with real-time AWS documentation and best practices.
- Use for integrating AI assistants with AWS APIs to manage cloud infrastructure and execute AWS operations through natural language commands.
- Use for enabling AI-driven development workflows with Infrastructure as Code tools like AWS CDK, Terraform, and CloudFormation for secure and compliant resource management.
- Use for building AI-powered cloud-native applications that require real-time access to AWS documentation, deployment automation, and serverless function lifecycle management.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Apache 2.0
Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.
Community files
- README: present
- Contributing guide: present
- Code of conduct: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
A suite of specialized MCP servers that help you get the most out of AWS, wherever you use MCP.
The Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. Whether you're building an AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to connect LLMs with the context they need.
An MCP Server is a lightweight program that exposes specific capabilities through the standardized Model Context Protocol. Host applications (such as chatbots, IDEs, and other AI tools) have MCP clients that maintain 1:1 connections with MCP servers. Common MCP clients include agentic AI coding assistants (like Q Developer, Cline, Cursor, Windsurf) as well as chatbot applications like Claude Desktop, with more clients coming soon. MCP servers can access local data sources and remote services to provide additional context that improves the generated outputs from the models.
AWS MCP Servers use this protocol to provide AI applications access to AWS documentation, contextual guidance, and best practices. Through the standardized MCP client-server architecture, AWS capabilities become an intelligent extension of your development environment or AI application.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
1.8K+157
Open issues
243-648
Compared with peers in Cloud
Fastest-growing repositories GStars tracks in this cohort for the week of Oct 11, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| aws/aws-cdk | 12.9K | +0 | 65 | 4 days ago |
| infracost/infracost | 12.6K | +0 | 59 | 16 days ago |
| Netflix/metaflow | 10.3K | +0 | 75 | 40 days ago |
| awslabs/mcp | 9.8K | +0 | 75 | today |
| 2FastLabs/agent-squad | 7.8K | +0 | 75 | 18 days ago |
| kubernetes-sigs/headlamp | 7.4K | +0 | 75 | 53 days ago |
| Category median | 10.3K | +0 | 75 | — |
Also by awslabs
Other repositories from this maintainer that GStars tracks
- Rust5.8K stars
mountpoint-s3
A simple, high-throughput file client for mounting an Amazon S3 bucket as a local file system.
- TypeScript5.4K stars
aidlc-workflows
AI-Driven Life Cycle (AI-DLC) adaptive workflow steering rules for AI coding agents
- Python3.5K stars
agentcore-samples
Amazon Bedrock Agentcore accelerates AI agents into production with the scale, reliability, and security, critical to real-world deployment.
- Go1.6K stars
diagram-as-code
Diagram-as-code for AWS architecture.
- Python598 stars
fullstack-solution-template-for-agentcore
Flexible Fullstack solution template for production-ready deployments of any use case on Amazon Bedrock AgentCore.
Discover Repositories
Search across tracked repositories by name or description