"Kotlin RAG (Retrieval-Augmented Generation) implementation resources" matching MCP servers:

A Model Context Protocol server that enables Claude to execute Python code using boto3 to query and manage AWS resources directly from conversations.

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.

An MCP server implementation in Python with placeholder tools, deployable to Azure Web App via GitHub Actions. Supports STDIO, HTTP REST, and WebSocket interfaces.

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.

An implementation of the Model Context Protocol that provides AI models with standardized access to Kaltura's media management capabilities including uploading, retrieving metadata, searching, and managing categories and permissions.

Connects Claude Desktop to a Qlik Cloud tenant for admin operations, allowing users to manage resources like spaces, apps, and automations via natural language.

Enables Claude Code to manage Hetzner Cloud servers, including creating, deleting, powering on/off, and rebooting servers, as well as managing SSH keys and listing resources.

Enables AI agents to scan AWS accounts, build resource relationship graphs, detect unused resources, and export data via MCP tools.

Cross-cloud observability for AI agents. Discover resources, correlate logs, and diagnose infrastructure issues across AWS, GCP, Vercel, and Cloudflare — without leaving your editor.

MCP server for managing Linode cloud resources via the Linode API, enabling LLMs to create, list, delete, and reboot instances.

A local MCP server for read-only querying of AWS resources (Lambda, S3) via Boto3, currently exposing a health check tool with planned tools for listing resources and checking free tier.

Enables natural language interaction with ServiceNow Fluent SDK commands, API specifications, and development resources for AI-assisted environments.

MCP server for interacting with the Krova Cloud API, enabling AI assistants like Claude to manage cloud resources.

Enables management of LunaNode VPS resources including VMs, images, volumes, floating IPs, SSH keys through natural language with tiered safety controls.

Enables managing DigitalOcean cloud resources, including Droplets, databases, domains, and more, via natural language.

Enables management of Railway.app infrastructure through natural language, including deploying services, managing environment variables, monitoring deployments, and controlling project resources.

Enables safe management of Vultr VPS instances, including listing resources, previewing and creating instances with cost limits, and performing mutations like reboot and delete only after exact confirmation.

A read-only MCP server for inspecting Kubernetes clusters, allowing LLMs to list resources, describe pods, and read logs without mutation.

A Model Context Protocol server that allows language models to manage Hetzner Cloud resources through structured functions, including servers, volumes, firewalls, and SSH keys.