"Managing Kubernetes Clusters on AWS Elastic Beanstalk" matching MCP servers:

An Elasticsearch-based AI memory system optimized for Chinese that enables persistent knowledge storage and complex entity relationship management via the Model Context Protocol. It features advanced semantic search using the IK analyzer and supports multi-zone memory isolation for specialized knowledge graphs.

Enables users to access, search, and get recommendations from AWS documentation through natural language queries. Supports both global AWS documentation and AWS China documentation with tools to fetch pages, search content, and discover related resources.

Self-hosted memo knowledge base with MCP, REST, and read-only web interfaces; lets AI agents save and retrieve tagged, searchable study notes for AWS DevOps Pro exam prep.

On Board is a local MCP server that gives multiple AI agents and IDEs a shared project memory, ticket queue, and handoff history, so agents can seamlessly continue each other's work. It supports agent-to-agent wake events, enabling autonomous workflows like reject-fix-resubmit cycles without human relay.

MCP server that gives AI agents persistent, tenant-scoped memory with semantic search and consolidation, using CockroachDB vector indexes and Amazon Bedrock embeddings.

Enables Claude to intelligently query and analyze your resume using RAG technology. Supports skill matching against job requirements and answering questions about your professional background from locally stored resume files.

Provides tools for managing project knowledge graphs, enabling structured representation of projects, tasks, milestones, resources, and team members.

A redaction engine and MCP server that scrubs sensitive identifiers (AWS keys, IPs, emails, etc.) from AI agent traces, enabling safe storage and sharing of war stories via submit, search, and retrieve tools.

Exposes a knowledge-management API as Model Context Protocol tools for saving, searching, ingesting, managing goal graphs and agent sessions, and coordinating relays. A curated default toolset keeps connection overhead low while loading the full tool set on demand.

Enables searching and managing local clipboard and transcription history on macOS, and provides contact resolution, profile lookup, and log-append tools for a voice-driven Android launcher while keeping data on the Mac.

An MCP server for managing agent memory using provenance tracking, decay-weighted retrieval, and feedback loops to optimize information recall. It allows agents to store insights in a local SQLite database and rank them based on confidence, age, and usefulness.

An MCP server implementation that enables interaction with the Letta API for managing agents, memory blocks, and tools in the Letta system.

An MCP server that turns any compatible AI agent into a Zettelkasten partner for creating atomic notes, forming semantic links, detecting clusters, and synthesizing insights from your existing knowledge.

A Model Context Protocol server that provides persistent storage, categorization, and retrieval of bookmarks through AI clients like Claude. It allows users to manage web links using custom categories and includes options for local JSON storage or AWS S3 synchronization.

Provides 32 local tools for managing briefs, dispatch, run events, registry, and redaction in AI-assisted workflows, operating entirely on local markdown/JSON files with no network calls.

MCP protocol server for managing multi-project Markdown documents, supporting project isolation and LLM tool integration.

Offers MCP tools for managing a local AI memory vault, including remembering, searching, context packing, deletion, and verification of receipts.

Your coding agent can read the code. It can't read the argument behind it. lema-mcp gives your agent the recorded why — and the alternatives a project already ruled out — cited to the source. For React, Kubernetes, and Rust out of the box, and for your own repo with one command.

Provides persistent tribal memory for Claude Code sessions, enabling querying of decisions and entities, logging artifacts, and managing tasks with Supabase.

Enables AI assistants to remember and apply shared team knowledge across sessions by storing, retrieving, and managing typed memory entries through MCP tools, including private scopes.

Provides LLM clients with persistent memory tools for searching, reading, creating, and updating notes, retrieving backlinks, listing recent notes, and managing tasks using self-hosted MySQL storage.

An MCP server for saving, managing, and enhancing context with pre-processing strategies like clarification, analysis, and search optimization.

Forwards MCP tool calls to ProductNow's hosted shared-context endpoint, enabling search, reading, writing, commenting on, and organising workspace documents and folders. It also supports managing document versions, statuses, media upload URLs, and archiving without deletion.

Local-first personal cognitive engine that provides MCP tools for managing relationships, conversations, agenda, and memory, powered by Ollama.

MCP server for managing verifiable LangGraph agent state on Walrus, enabling exact checkpoint save/load/resume and semantic search via MemWal.

An MCP server for managing LifeOS Obsidian vaults, enabling AI assistants to create, read, and search notes with YAML compliance and organizational standards.

Provides knowledge graph functionality for managing entities, relations, and observations in memory with strict validation rules to maintain data consistency.

Connects AI assistants to TTRPG campaign data for managing characters, sessions, locations, factions, items, quests, and more.

This MCP server provides access to DEVONthink functionality via the Model Context Protocol (MCP). It enables listing, searching, creating, modifying, and managing records and databases in DEVONthink Pro on macOS.

Enables searching academic papers and patents, parsing PDFs, and managing knowledge bases via Bohrium Open Platform through any MCP-compatible AI agent.