"Installing MCP (Minecraft Coder Pack) servers into an IDE" matching MCP servers:

An AI-assisted, long-term memory system for IDEs, powered by Kuzu graph database. GraphMemory-IDE is an MCP server that provides semantic vector search, graph-based knowledge storage, and real-time analytics.

Deploys a sovereign personal AI harness on your Cloudflare account, providing identity, memory with provenance, and a chat interface, plus MCP tools for external AI assistants to access your persistent memory and conduct contract.

Production-ready MCP server with session memory, Brave Search, Vertex AI Discovery Engine, Google Gemini analysis, and sandboxed code-mode transforms.

Provides a runtime interface that lets AI coding agents query governed Git-backed artifacts such as skills, context, and policies while reading and writing dynamic project memory—feature and decision records, observations, known issues—persisted in PostgreSQL. Supports project registration, scoped context and memory search, skill resolution, and role-gated memory promotion through API keys.

Enables AI coding agents to retain and recall project context across sessions through local Markdown storage and hybrid keyword/semantic retrieval, including reusable knowledge cards. It runs offline as a daemon and integrates with MCP-compatible IDEs to continue long-running work without re-explaining decisions or architecture.

Enables insurance claims review assistance by querying a knowledge graph of Korean standard insurance terms, restoring applicable policy versions by enrollment date, and returning coverage/exclusion determinations with cited provisions.

This MCP server enables AI agents to manage artifacts across sessions by providing tools for searching, retrieving, and registering entries in a persistent ledger, ensuring consistency and traceability of agent outputs.

Local-first agent-memory MCP server with a why() tool: recall a fact together with its connected subgraph (multi-hop), so linked memories surface even when they share no words with the query. remember/recall/relate/forget/why over one fused vector + graph + columnar engine a single offline Rust binary.

Provides intelligent context management for AI development sessions, allowing users to track token usage, manage conversation context, and seamlessly restore context when reaching token limits.

Enables AI agents to explore and extend a local-first, SQLite-backed visual knowledge graph through 12 tools for listing maps, searching and reading nodes, and creating, updating, or linking nodes and edges. Every AI-written node carries provenance and is checked against near-duplicate titles, so agent-added ideas appear in a shared graph that people also edit by hand.

Provides MCP tools for workspace initialization, health checks, context recall, and durable memory capture, enabling project-specific memory and shared company knowledge with citations.

A personal AI memory system that creates a cognitive hub connecting to Notion, enabling semantic search and relationship navigation of your knowledge through a graph database for AI assistants.

Enables semantic search across all Kiro conversations (CLI and IDE), allowing the AI to recall past discussions, decisions, and user preferences.

Provides an external context buffer so a local model can maintain session memory across long tasks and search and page through large documents without loading them whole into its limited context window.

An MCP server that enables AI agents to compile, refine, and interlink knowledge into a persistent wiki, replacing RAG with structured, curated knowledge.

MCP server that exposes agent-memory-daemon to any MCP-compatible client — Kiro (CLI & IDE), Claude Desktop, Cursor, and others. The daemon does the thinking (consolidation + extraction); this server is a thin filesystem bridge so agents can read, append, and search memory through the Model Context Protocol.

Turns an Obsidian vault into live, private context for Claude and other MCP clients, enabling identity-aware search, project briefings, graph traversal, recent-note retrieval, captures, and memory writes directly against the vault.

Turns AI coding conversations into structured Markdown notes in an Obsidian vault, and retrieves that knowledge in later sessions so assistants can reuse prior conclusions.

An MCP server that indexes Claude Code conversation history into SQLite, enabling full-text search across past sessions for context recovery and cross-agent observability.

Local MCP server that turns Mark Builds Brands' YouTube knowledge into an AI coaching assistant for ecommerce and Facebook Ads.