mcp-curiosity-engine
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@mcp-curiosity-engineSuggest a replay cycle for my vault."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
mcp-curiosity-engine
Surface the notes you forgot you wrote — DMN replay for markdown vaults.
Surface the notes you've forgotten you wrote. Uses wikilink graph structure + file mtime to identify dormant notes (low link-in count, old, isolated) and the DMN-inspired replay cycle pattern from cognitive neuroscience: sample dormant notes with bias (40% random / 30% least-linked / 30% orphaned), generate cross-domain bridge queries between them, and surface the unexpected connections. Breaks the confirmation-bias loop where you only revisit the notes you already remember.
Install
pip install mcp-curiosity-engine
# or
uvx mcp-curiosity-engineRelated MCP server: Mnemoscope
Usage
Claude Code
claude mcp add mcp-curiosity-engine -- mcp-curiosity-engineClaude Desktop
Add to claude_desktop_config.json:
{
"mcpServers": {
"curiosity_engine": {
"command": "uvx",
"args": ["mcp-curiosity-engine"]
}
}
}MCP Tools
Tool | Tier | Description |
| Free | List notes that are structurally dormant — low incoming wikilink count AND old mtime. These are the notes most at risk of being forgotten. |
| Free | List notes with zero incoming wikilinks — structurally isolated, the extreme case of dormancy. |
| Pro | Run the full DMN-inspired replay cycle: sample dormant notes with bias (40% random / 30% least-linked / 30% orphans), extract their concepts, generate cross-domain bridge queries between them, return notes to revisit. The core moat. |
| Pro | Surface pairs of notes from DIFFERENT top-level directories that share concepts. These are the surprise connections — ideas that span your vault's silos. |
| Pro | Pull a single random dormant note for serendipitous rediscovery. Think of it as your vault's shuffle-play button. |
Pro tier
Unlocks the full DMN replay cycle, cross-domain bridge discovery, and random deep-cut sampling.
License activation — any one of these works:
# 1. Environment variable
export CURIOSITY_ENGINE_LICENSE="eyJhbGc..."
# 2. CLI flag
mcp-curiosity-engine --license-key "eyJhbGc..."
# 3. Config file
echo "eyJhbGc..." > ~/.mcp-curiosity-engine/license.jwtLicenses are verified fully offline — no phone-home, no activation server. Get a license at https://github.com/onetrueclaude-creator/mcp-curiosity-engine#pro-tier.
Requirements
Python 3.10+
License
MIT
This server cannot be deployed
Maintenance
Related MCP Connectors
Token-efficient MCP memory for Markdown vaults. Tiered search, GraphRAG, AI memories.
A self-improving memory layer. Your memory, notes, tasks and goals, remembered everywhere.
Personal context for every AI: search, read, and write back to your private Markdown library.
Personal wiki and memory layer for AI assistants. Persistent, structured memory across sessions.
Related MCP Servers
- AlicenseNot gradedqualityAmaintenanceA local-first CLI and MCP server that helps you build and search a personal knowledge vault from Markdown notes, with semantic search and AI-powered features like stale note detection and session memory harvesting. It’s provider-agnostic, requires no GPU in its default mode, and exposes your vault as long-term memory to any MCP-compatible AI tool like Claude Code.47Apache 2.0
- AlicenseNot gradedqualityCmaintenancePredictive context-rot scoring, Ed25519-signed agent-write journal, and working/episodic/semantic tiering for LLM agents on Markdown vaults.1Apache 2.0
- AlicenseBqualityAmaintenanceSelf-maintaining personal knowledge database — MCP server with figure-level search, auto-wikilinks, and Ebbinghaus-based memory compression465MIT
- AlicenseAqualityBmaintenanceBuilds a dynamic knowledge graph from your notes and uses LLM reasoning to discover blindspots, hidden cross-domain connections, track concept evolution, and spark creative inspiration.82Apache 2.0