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

x402 pay-per-call infra for agents: $0.03 image generation, Postgres, auth, storage, functions.

AI workflow/MCP implementation package planner.

Freshness-aware AI retrieval with 21 MCP tools for timestamped, decay-ranked live signals.

Research-backed linting + generation for agent context files (CLAUDE.md, AGENTS.md, Cursor rules).

Agent-first resource directory for AI agents: protocols, security, RAG, memory, evals, and more.

Agent-first resource directory for AI agents: protocols, security, RAG, memory, evals, and more.

The Remote MCP server acts as a standardized bridge between LLM applications (like Claude, ChatGPT, and Cursor) and external services, enabling AI agents to access external tools and resources. Its primary capability is providing a centralized search tool to discover other MCP servers and their respective tools. Unlike local implementations, it runs remotely with OAuth authentication and permission controls for security.

The Google Compute Engine MCP server is a fully-managed Model Context Protocol server that provides tools to manage Google Compute Engine resources through AI agents. It enables capabilities including instance management (creating, starting, stopping, resetting, listing), disk management, handling instance templates and group managers, viewing machine and accelerator types, managing images, and accessing reservation and commitment information. The server operates as a zero-deployment, enterprise-grade endpoint at https://compute.googleapis.com/mcp with built-in IAM-based security.

Remote MCP + A2A server for AI agent operations. Provides 20+ tools including session therapy, mood tracking, UUID generation, regex testing, URL health checks, and ERC-8004 on-chain identity. Hosted at api.delx.ai with REST, MCP (SSE/streamable HTTP), and A2A protocol support.

Your org's AI agents, tasks, runs, search, and brain files as MCP tools and resources.