AI Agent for AWS S3 MCP
Integrate your AI workflows with AWS S3 via the Model Context Protocol (MCP) server. Seamlessly retrieve and manage PDF documents from Amazon S3 buckets, unlock secure, scalable access for LLMs, and streamline data loading for context-aware AI applications. Fast setup, robust security, and direct S3 endpoint access with just a few clicks.
Effortless S3 Data Access for AI
Expose and load up to 1,000 PDF documents directly from AWS S3 into your LLM's context. The MCP server simplifies data retrieval, making S3 resources accessible as endpoints for your AI workflows. Streamline document access, boost productivity, and scale context ingestion securely.
- S3 Resource Endpoints.
- Turn S3 buckets into AI-readable endpoints, making cloud data instantly accessible.
- PDF Context Loading.
- Directly inject up to 1,000 PDFs per request into your AI model's context for smart document processing.
- Fast & Secure Retrieval.
- High-speed, permission-based access ensures your data is protected and always available for your AI agents.
- Flexible Scaling.
- Designed for performance, the server seamlessly scales with your S3 storage and AI needs.
Automated S3 Operations
Leverage built-in tools to list buckets, enumerate objects, and fetch PDFs directly from S3. Automate repetitive storage tasks, ensure up-to-date data, and reduce manual errors. Easy configuration with support for both virtual-hosted and path-style requests.
- ListBuckets Tool.
- Instantly view all S3 buckets available for your account with a single command.
- ListObjectsV2 Tool.
- Fetch lists of up to 1,000 objects in any S3 bucket to streamline discovery and retrieval.
- GetObject Tool.
- Retrieve specific PDF files from S3 by key, supporting both path and virtual-hosted style requests.
Seamless Setup & Robust Security
Quickly configure AWS credentials with guided setup, ensuring safe, permission-based access to your S3 resources. Compatible with Claude Desktop and standard AWS security practices. Supports debugging with Model Context Protocol Inspector for ultimate transparency and control.
- Credential Management.
- Easy credential setup with AWS best practices for secure access and permissions.
- Flexible Configuration.
- Supports Claude Desktop, custom development, and both published and unpublished server modes.
MCP INTEGRATION
Available S3 MCP Integration Tools
The following tools are available as part of the S3 MCP integration:
- ListBuckets
Returns a list of all buckets owned by the authenticated sender of the request.
- ListObjectsV2
Returns some or all (up to 1,000) of the objects in a bucket with each request.
- GetObject
Retrieves an object from Amazon S3 by specifying the full key name for the object.
Connect Your LLM to AWS S3 Instantly
Seamlessly expose and retrieve PDF data from your S3 buckets using the Model Context Protocol server. Empower your AI workflows with secure, scalable access to cloud-stored documents—no complex setup required.
What is AWS S3 MCP Server
The AWS S3 MCP Server is an open-source implementation developed by AWS as part of its sample repositories. This server enables integration between Large Language Models (LLMs) and AWS S3 storage using the Model Context Protocol (MCP). Its primary function is to allow AI and conversational agents to securely and programmatically retrieve and load data from Amazon S3 buckets directly into their context, thus improving the quality and relevance of AI-generated responses. The service is specifically tailored for accessing documents such as PDFs stored in S3, exposing endpoints to list buckets, enumerate objects, and retrieve files—all with robust AWS credential-based security. This solution is especially useful for organizations managing large document repositories in S3 who want to make this content available to advanced AI applications.
Capabilities
What we can do with AWS S3 MCP Server
With the AWS S3 MCP Server, developers and organizations can enable conversational AI models or other AI agents to interact with and retrieve large volumes of data stored in Amazon S3. The service exposes easy-to-use endpoints for listing buckets, enumerating files, and fetching documents, making it ideal for document retrieval, enterprise search, and enhancing LLM context with up-to-date, organization-specific data.
- List S3 Buckets
- List and discover all S3 buckets owned by the AWS account.
- Enumerate Files
- Retrieve lists of up to 1,000 objects within a given S3 bucket.
- Fetch Documents
- Download and load PDF documents from S3 directly into the AI agent's context.
- Secure Access
- Enforce AWS credential-based authentication and permissions for all operations.
- Integrate with LLMs
- Seamlessly provide external, up-to-date data to conversational AI models via MCP.
What is AWS S3 MCP Server
AI agents can benefit greatly from AWS S3 MCP Server by gaining secure, programmatic access to vast repositories of organizational knowledge stored in S3. By exposing documents and files as context resources, AI systems can answer business queries with higher accuracy, provide advanced document search, and automate knowledge extraction workflows. This makes AI-powered assistants more knowledgeable, responsive, and tailored to enterprise needs.