"Understanding RAG (Retrieval-Augmented Generation or related topics)" matching MCP servers:

An MCP server that enables users to retrieve information from AWS Knowledge Bases using RAG (Retrieval-Augmented Generation) via Bedrock Agent Runtime.

A lightweight RAG server deployed on Azure Container Apps that ingests PDFs, creates embeddings, and exposes a search_documents tool over MCP for retrieving relevant document chunks.

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.

A Model Context Protocol server that provides tools for accessing and managing AWS VPC Lattice information, allowing users to list sources and retrieve sample prompts related to AWS networking documentation.

A read-only MCP server for the Cisco Meraki Dashboard API that exposes 50 GET endpoints for understanding network topology from organization down to individual devices and ports.

AI-native open-source backend-as-a-service. Manage Postgres with RLS, auth, file storage, serverless TypeScript functions, durable objects, realtime, KV, AI gateway, and RAG via MCP, either HTTP at /mcp on a self-hosted instance or stdio with npx @butterbase/mcp.

A local MCP server that integrates with Claude Desktop, enabling RAG capabilities to provide Claude with up-to-date private information from custom LlamaCloud indices.

Enables secure, read-only access to Amazon Redshift data warehouses for AI assistants, allowing schema inspection, query execution, and data understanding.

MCP server for Oracle Cloud Infrastructure Vault secrets, enabling secret retrieval, listing, creation, updates, deletion, and rotation with OCI authentication.

Manage Apache Kafka on Kubernetes via Strimzi. Clusters, topics, users, connectors, MirrorMaker2, and node pools.

MCP server that integrates Microsoft Copilot with Amazon Redshift, enabling catalog search, query template retrieval, and query execution with end-to-end user identity propagation.

Enables AI assistants to query, search, and analyze logs across Google Cloud Platform projects. It supports advanced filtering by severity or resource type and provides detailed log entry retrieval and project listing capabilities.

Enables natural language Kubernetes operations, including smart resource queries, pod root-cause analysis, cross-environment diffs, and manifest generation.

An MCP server for generating videos through Amazon Nova Reel 1.1 using AWS Bedrock, providing asynchronous video generation with comprehensive prompting guidelines and multiple transport methods.

Enables interaction with fal.ai AI models through MCP, supporting model discovery, content generation, queue management, and file uploads to the fal.ai platform.

Connects AI coding assistants to Google Cloud Discovery Engine APIs for semantic search, conversational RAG, and administration of datastores, documents, and configurations.

Enables LLMs to dynamically orchestrate containerized application deployments to a Kubernetes cluster, handling configuration validation, manifest generation, dry-run planning, and service endpoint extraction.

Enables execution of SQL queries against AWS Athena databases with schema discovery, query status management, and result retrieval through a standardized Model Context Protocol interface.

36 enterprise MCP tools for AWS security, infrastructure generation, AI workflows, and agent governance. IAM validation, MFA compliance, CloudFormation/SAM generation, DynamoDB design, OAuth validation, vector embeddings, error analysis, data lake readiness, 12 ACI governance tools for AI agent safety, and 4 local interview tools.

MCP server that provides tools for automating AWS Pricing Calculator estimate generation.