AWS Service Reference
About
Unlock instant access to the full range of AWS service functionalities and API actions through seamless integration with the AWS Service Reference API. Ideal for developers and cloud architects seeking real-time insights and capabilities.
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AWS Documentation
Access valuable AWS documentation, conduct efficient content searches, and receive personalized recommendations with the Model Context Protocol (MCP).
AWS Labs
Enhance your enterprise workflows and optimize cost analysis with seamless integration into various AWS services such as Bedrock Knowledge Bases, Nova Canvas, Step Functions, Lambda, IAM, and Cost Explorer. This Model Context Protocol (MCP) facilitates infrastructure management and empowers generative AI applications through dedicated servers, complete with sample implementations and deployment assistance.
AWS Resource Manager
Efficiently oversee AWS S3 and DynamoDB assets.
AWS EC2 Pricing
Access up-to-date pricing information for AWS EC2 instances, offering advanced filters to enhance cost-efficiency and streamline infrastructure management.
Ref
Access curated technical documentation seamlessly by leveraging the Ref.tools documentation search service through the Model Context Protocol (MCP). Benefit from web search fallback and easy URL-to-markdown conversion, enhancing developer reference efficiency while coding.
AWS
Facilitates seamless integration between various AWS services through the utilization of the AWS SDK v2, ensuring a secure environment for overseeing and handling cloud infrastructure and data processing assignments.
AWS S3
Explore a robust Model Context Protocol enabling seamless interaction with Amazon S3 storage. Effortlessly browse, access, and extract content from various file formats, including PDFs.
AWS Knowledge Base
Access valuable data from AWS Knowledge Bases through the Bedrock Agent Runtime, facilitating efficient RAG operations with organized metadata for improved access to organizational knowledge.
AWS Resources
Unlock the capabilities of querying AWS services such as S3 and CodePipeline with the Model Context Protocol (MCP). This interface, developed in Python, empowers seamless execution of DevOps activities and efficient cloud resource administration.
Azure Resource Management
Streamline cloud resource administration by seamlessly connecting with various Azure services. Facilitate tasks such as setting up virtual machines, managing networks, and overseeing subscriptions effectively.
AWS SDK
Gain direct access to AWS services via the AWS SDK v2 with the Model Context Protocol (MCP). This tool empowers users to interact seamlessly with their environments, oversee resources, and assess cloud architecture. Benefit from enhanced credential control and secure JavaScript execution within a sandboxed environment.
Azure Resource Manager
Facilitates connectivity with Azure cloud solutions for efficient resource organization, administration, and financial assessment using service principal validation and integration with the Azure Cost Management API.
AWS S3
Achieve secure access to AWS S3 bucket operations through pre-signed URLs, allowing configurable expiration times to streamline interactions with cloud storage.