Enables management of Amazon Bedrock Knowledge Bases including creation, data source configuration, document ingestion, and RAG (Retrieval-Augmented Generation) queries with support for multiple embedding models and custom parsing/chunking strategies.
Enables AI agents to interact with Amazon Redshift databases using natural language to execute queries, list tables, describe schemas, and retrieve sample data.
A Model Context Protocol (MCP) server that enables integration of Strands agents with Amazon Q and other MCP-compatible systems through a plugin architecture.
This read-only MCP Server allows you to connect to Amazon Marketplace data from Claude Desktop through CData JDBC Drivers. Free (beta) read/write servers available at https://www.cdata.com/solutions/mcp
Serverless document and media processing with AI chat. Upload documents, images, video, and audio — extract text with OCR or transcription — query using Amazon Bedrock.
A minimalist MCP server for interacting with Bauplan data tables and executing SQL queries against Iceberg tables stored in S3. It enables users to list tables, retrieve schemas, and run SELECT queries using standard MCP transports.
MCP server with 32 tools for ETL ingestion, AI-generated data quality rules, AI
transformations, vector search, and natural-language SQL. Works across Postgres,
MongoDB, Kafka, S3/MinIO, HashiCorp Vault, and five vector stores
(Qdrant, Weaviate, Milvus, Chroma, pgvector).
Enables AI models to generate synthetic data, manage templates and connections, push data to destinations, and execute Python scripts using DataMaker's data generation platform. Automatically handles large datasets by storing them to S3 with secure access links.
MCP server that gives AI agents persistent, tenant-scoped memory with semantic search and consolidation, using CockroachDB vector indexes and Amazon Bedrock embeddings.
An MCP server that gives an Agent Studio project a memory that outlives a run, using S3 for storage and exposing tools to recall, remember, list, and forget memories.
MCP server that exposes hardware automation tools (build, flash, serial capture, symbolization, relay control) for ESP32-S3 boards, with board-level concurrency locks and remote access.
Enables interaction with the Unstructured API to manage data workflows, including creating and managing source connectors (S3, Azure, Google Drive, etc.), destination connectors (Weaviate, Pinecone, MongoDB, etc.), and workflows for document processing and data pipelines.
Enables AI-powered Amazon product searches and recommendations by integrating the Amazon API with Hugging Face models. It allows users to filter products by price and specific features to receive tailored shopping suggestions.
Enables LLMs and AI agents to securely query and interact with Amazon Redshift databases with configurable access modes (readonly, readwrite, admin) for safe data exploration and management.
Enables secure querying of analytics data stored in AWS Athena/S3 through natural language, with multiple security layers including query validation, resource limits, and automatic PII redaction to prevent data breaches and destructive operations.