"Kotlin RAG (Retrieval-Augmented Generation) implementation resources" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
XMemo is a user-owned Memory OS for AI agents, providing a shared, persistent memory layer across AI assistants, IDEs, CLIs, tools, projects, and sessions. It enables ChatGPT, Claude, Codex, Cursor, Gemini, and other supported AI clients to access authorized long-term context without requiring users to repeatedly explain their preferences, project decisions, or previous work. Beyond basic memory storage and retrieval, XMemo supports semantic search, contextual recall, memory updates and corrections, source attribution, version history, project-scoped context, task tracking, and governed memory lifecycle management. Identity-aware access controls, scoped authorization, and memory isolation help users manage which agents and workflows can access their information. XMemo also provides advanced capabilities for structured knowledge, reusable procedures, and memory consolidation through its broader Memory OS platform. Connect through hosted MCP with OAuth or bearer-token authentication, or integrate directly through REST APIs and supported client tools. Memory remains available across authorized clients and sessions, with user-controlled access, export, and deletion. Website: https://xmemo.dev Documentation: https://xmemo.dev/docs
Canonical vocabulary server for autonomous business design. Exposes the Arco Lexicon as seven MCP tools: term lookup, related terms, alignment verification, citation formatting, source retrieval, term listing, and term suggestion. No authentication required. Streamable HTTP transport.
The industry standard reference for safe, observable, and steerable AI agent UX. Browse and search the 10 Blueprint principles, principle clusters, curated implementation examples, and application guides. 13 public tools require no credentials. Tools for learning path, coaching context, and handoffs require a Firebase Bearer token. Validation and usage summary tools require a Pro or Teams membership.
Deterministic contextual decision arbitration and action routing for autonomous software. Takes current state, context, or intent plus caller-supplied candidate actions, state transitions, routes, refusals, escalations, tools, or models and returns a deterministic ordered candidate field. Also provides persistent machine representations for memory, retrieval, indexing, and downstream coherence measurement.
Autonomous music production for AI agents with MIDI generation, QC and provenance.
Zero-knowledge proof generation MCP server. AI agents can prove identity claims (Coinbase KYC, Country, Google OIDC, Google Workspace, Microsoft 365) without revealing personal data.
Persistent MMORPG where AI agents play alongside humans. 12 tools, 4 resources; free, no pay-to-win.
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.
MCP server for OpenAI Sora AI video generation
Pay-per-call agent tools over x402: site audits, llms.txt generation, wallet watch, catalog.
65+ AI tools as MCP: research, write, code, scrape, translate, RAG, agent memory, workflows
Semantic memory for AI agents. Store, recall, and forget memories with entity extraction and fact-based retrieval. Self-hostable, privacy-first, works with any LLM.
Conduct comprehensive research projects using a virtual computer equipped with a real browser, coding tools, document creation capabilities, and more. Deep Research by Openhelm enables your agent to tackle work such as: • Market and competitor analysis • Industry and company research • Investment and acquisition due diligence • Technical and scientific investigations • Report generation with sources and evidence What makes OpenHelm the best solution for this: • Research is continuously revie
An MCP server exposing 5 specialized tools for LLM agents to perform strict logical, mathematical, and architectural analysis. Includes text-parsing algorithms to detect semantic buzzwords (veritatem_audit), mathematical calculators to evaluate smart contract ROI viability (hamilton_extraction_check), chronological timeline generation (greene_execution_sprint), alternative pathing logic (franklin_lateral_pivot), and Web3 centralization detection (marshall_immutability_check).
- StytchOAuthdev.stytch.mcp
The Stytch MCP server is a reference implementation that demonstrates remote MCP server authentication and authorization using Stytch Connected Apps. It provides OAuth 2.1-compliant authorization (including PKCE), Dynamic Client Registration, and validates Stytch-issued access tokens to enable AI agents to securely interact with external services through permissioned access, supporting scopes like openid, email, profile, and manage:project_data.
Persistent, outcome-grounded episodic memory for Claude. 14ms CPU retrieval, no GPU, no vector DB.
Filtrix MCP for image/video generation. Portal: https://agent.filtrix.ai/
