"Unreal Engine" matching MCP servers:

Provides a hybrid search engine for Obsidian vaults, enabling LLM agents to query notes with BM25 keyword and vector semantic search, metadata filtering, and sibling-document retrieval.

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

Enables AI assistants to run the real Obsidian Tasks query language against a Markdown vault via MCP, supporting filters, relative dates, dependencies, grouping, sorting, and query explanations without requiring Obsidian to be running.

Local Markdown/HTML note-taking app with built-in MCP server, agentic workflow runtime engine, wikilinks, and state-machine approval gates.

A lightweight MCP memory engine for AI coding agents that provides zero-token-waste memory recall, knowledge graph management, and Obsidian-compatible notes. It enables agents to persist and retrieve project decisions, inspect file structures efficiently, and manage a persistent knowledge graph without Python dependencies.

Enables AI coding agents to search a shared, sourced corpus of past Claude Code and Codex sessions and curated notes, retrieve full conversations and timelines, and write or extend memory in either a committed or confidential, git-ignored layer. Confidential material is withheld from results unless explicitly requested.

Surfaces forgotten notes from markdown vaults using wikilink graph structure and file mtime to identify dormant notes, then generates cross-domain bridge queries for serendipitous rediscovery.

Surface forgotten notes from markdown vaults using DMN-inspired replay cycle to identify dormant notes and generate cross-domain connections.

Enables note management (create, read, update, delete) with a policy engine for blocking tools, human approval, and prompt injection detection.

A personal MCP server that manages an Obsidian vault of project notes, provides scoped external research tools, and offers code-graph analysis via a proxied tree-sitter engine.

Enables AI assistants to read, search, create, and update Microsoft OneNote Desktop notebooks, sections, and pages on Windows using a dual-engine design that combines local .one backup parsing for offline full-text search with live COM automation for real-time authoring. Converts semantic HTML into native OneNote XML with rich typography, hierarchical sub-bullets, and grid tables — no cloud tokens, Graph registrations, or Azure credentials required.