"An MCP server for indexing S3 content into a RAG vector database" matching MCP servers:

MCP server for AWS S3 — list buckets, browse objects, upload/download files, and generate presigned URLs.

An MCP server that provides tools for interacting with AWS S3 buckets, enabling direct access to S3 operations through the Model Context Protocol.

Enables AI assistants to explore and manage S3-compatible object storage (AWS S3, RustFS, MinIO, Cloudflare R2) by listing buckets and objects, inspecting metadata, and reading object contents with capped range requests. Write operations such as upload and delete are available but disabled unless explicitly enabled, with optional bucket allow-listing and custom TLS trust.

An Amazon S3 Model Context Protocol server that allows Large Language Models like Claude to interact with AWS S3 storage, providing tools for listing buckets, listing objects, and retrieving object contents.

Enables interaction with S3-compatible storage services like AWS S3 and Cloudflare R2, supporting bucket management, object listing, reading, uploading, and deletion operations.

This server enables interaction with Amazon S3 buckets for listing and retrieving objects, with efficient streaming for large files like PDFs, through the Model Context Protocol.

MCP server for AWS S3 and compatible object stores, enabling LLM clients to browse buckets and fetch objects.

Enables interaction with AWS S3 through MCP, supporting bucket and object management, lifecycle configurations, tagging, policies, CORS settings, presigned URLs, and file uploads/downloads.

A standardized interface for interacting with AWS S3 tools and services through a unified API, following the MCP specification.

A remote, OAuth2-authenticated MCP server that provides read-only S3 tools (list buckets, list objects, check public access, get bucket size) designed to run on ECS Fargate with Auth0 as the identity provider.

Enables AI agents to semantically search GitHub repository documentation by automatically fetching, vectorizing, and indexing content into an Upstash Vector database. It provides a standard MCP interface for agents to retrieve relevant documentation snippets through natural language queries.

Enables direct interaction with AWS S3 buckets through the Model Context Protocol, allowing users to list and manage S3 bucket operations using their AWS credentials.

Combines Neo4j graph database with vector search using OpenAI embeddings for intelligent semantic search across knowledge graphs.

Enables SQL database interaction with true server-side result paging, runtime-managed connection profiles, and SSH-bridged access for PostgreSQL.

Enables browsing S3 buckets and objects, and generating secure presigned URLs for downloads and uploads, through natural language commands in MCP clients like Claude Desktop.

Stores Organizations content

A Model Context Protocol server that enables LLMs to interact with databases (currently MongoDB) through natural language, supporting operations like querying, inserting, deleting documents, and running aggregation pipelines.

MCP server for content-studio, enabling AI agents to manage content ideas, channels, personas, and drafts with approval-based edits.

Enables secure file uploads to Amazon S3 with progress tracking and presigned URL generation. Provides automatic UUID-based file naming and time-limited access URLs for uploaded files.

Provides a standardized interface for interacting with Ghost-Content tools and services through a unified API.