"Godot Game Engine Development Resources" matching MCP servers:

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.

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 coding agents to save, search, and recall Markdown notes as persistent memory over MCP using a local index. Exposes remember, search, and recall tools so agents can reuse prior decisions and context across sessions.

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.

Provides coding agents with a shared, Markdown-based engineering knowledge base to search, capture, create, and update internal conventions, API details, infrastructure configs, and development setup via lightweight MCP tools.

A personal knowledge base MCP server that allows AI assistants to manage notes, tasks, and ideas through tools, resources, and prompts.

A bookmark management MCP server that enables saving, searching, and managing bookmarks with tags and read/unread status, providing tools, resources, and prompts for integration.

Enables AI assistants to read, write, and manage Microsoft OneNote notebooks, sections, and pages through OAuth-authenticated MCP tools, resources, and prompts.

Enables everyday utilities like calculation, text analysis, encoding, hashing, UUID generation, datetime lookup, and note management through MCP tools, resources, and prompts.

Context infrastructure for AI-assisted development — on-demand Obsidian vault access via MCP

A small, readable MCP learning project implemented in TypeScript that uses a local JSON notebook to demonstrate core MCP features such as tools, resources, prompts, sampling, and notifications.

A minimal MCP server example demonstrating Tools, Resources, and Prompts. It enables calculations, time queries, note management, and code review prompts via stdio transport.

A minimal MCP server demonstrating tools, resources, and prompts for managing notes, with a simple notes app that supports adding, listing, deleting notes and summarizing them.

Enables listing, reading, and searching local Markdown notes through MCP tools and exposing them as context resources, with protection against path traversal attacks.

A local AI document assistant MCP server that enables listing, reading, and editing documents via tools, resources, and prompts, allowing LLMs to manage document workflows through natural language.

Exposes SQLite database query tools and markdown document resources over JSON-RPC 2.0 stdio transport, enabling AI assistants to read and search documents and execute read-only SQL queries.

Enables complex queries over data on the DANDI Archive and provides a system for managing text notes. It features tools for note creation, resources for note access via custom URIs, and prompts for generating summaries.

A learning-focused MCP server that demonstrates core MCP concepts through a simple notepad application, enabling users to create, update, delete, and search notes while exploring tools, resources, and prompts functionality.

A TypeScript-based MCP server built on the Gmail API that implements a simple notes system. It enables users to create, manage, and summarize text-based notes through specialized resources and tools.