MCP Servers · Memory
Auctalis/nocturnusai
Verified knowledge for AI agents. Compress context, extract and store facts, define rules, and ask questions — get deterministic answers with proof, not LLM guesses.
Our verdict
We have not reviewed Auctalis/nocturnusai yet
No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.
From the listing
About Auctalis/nocturnusai
Auctalis/nocturnusai provides verified knowledge for AI agents. It compresses context, extracts and stores facts, and lets users define rules and ask questions. Answers are deterministic with proof, not LLM guesses. Agents connect via MCP, Python SDK, or TypeScript.
Best for
Developers building AI agents that need verifiable, rule-based knowledge retrieval
Use cases
- Compressing context for AI agents to reduce token usage
- Extracting and storing facts from data for reliable retrieval
- Defining rules to get deterministic answers with proof
Notes
2 stars on GitHub. Last updated 2026-04-17.
Pros
- Deterministic answers with proof, reducing reliance on LLM guesses
- Supports multiple integration methods (MCP, Python SDK, TypeScript)
- Compresses context to improve efficiency
Cons
- Low community adoption (2 stars on GitHub)
- Kotlin codebase may be unfamiliar to many developers
- Requires manual rule definition, limiting flexibility for open-ended queries
Key facts
What we have checked
- Days since the last commit
- 73
- GitHub forks
- 0
- GitHub stars
- 3
- Open issues
- 0
- Releases in the last 90 days
- 0
Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.
How to use
How to set it up
As the listing publishes it. We have not run this install.
Install
pip install nocturnusai # PythonTools exposed
Truth-preserving
Clients the listing names (not checked here)
Claude Desktop, Cursor, Continue, ChatGPT
Install
Add Auctalis/nocturnusai to your client
Our lab has not run this server yet. "Config checked" on a client means the recipe matches that client's documented config format; it does not mean we ran it.
Claude Code
Config checkedRun in your terminal (runs on your computer)
claude mcp add --transport stdio auctalis-nocturnusai -- npx -y nocturnusai-mcp@0.3.11Claude Desktop
Config checkedAdd to claude_desktop_config.json (runs on your computer)
{
"mcpServers": {
"auctalis-nocturnusai": {
"command": "npx",
"args": [
"-y",
"nocturnusai-mcp@0.3.11"
]
}
}
}Cursor
Config checkedAdd to .cursor/mcp.json (runs on your computer)
{
"mcpServers": {
"auctalis-nocturnusai": {
"command": "npx",
"args": [
"-y",
"nocturnusai-mcp@0.3.11"
]
}
}
}VS Code
Config checkedAdd to .vscode/mcp.json (runs on your computer)
{
"servers": {
"auctalis-nocturnusai": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"nocturnusai-mcp@0.3.11"
]
}
}
}Codex
Config checkedAdd to ~/.codex/config.toml (runs on your computer)
[mcp_servers.auctalis-nocturnusai]
command = "npx"
args = ["-y", "nocturnusai-mcp@0.3.11"]- ChatGPT: ChatGPT connects only to remote servers that need no API key.
Recipes come from the server's entry in the official MCP registry. Check the package name before you run it, and keep keys out of shared files.
Works with
What Auctalis/nocturnusai connects to
5 clients, each with how we know and when we checked.
| Works with | Type | How we know | Checked |
|---|---|---|---|
| Claude Code | Client | Install recipe matches the client's documented formatRuns locally, version 0.3.11Config checked | Claude Code docs |
| Claude Desktop | Client | Install recipe matches the client's documented formatRuns locally, version 0.3.11Config checked | Claude Desktop docs |
| Cursor | Client | Install recipe matches the client's documented formatRuns locally, version 0.3.11Config checked | Cursor docs |
| VS Code | Client | Install recipe matches the client's documented formatRuns locally, version 0.3.11Config checked | VS Code docs |
| Codex | Client | Install recipe matches the client's documented formatRuns locally, version 0.3.11Config checked | Codex docs |
Health and security
Is Auctalis/nocturnusai looked after, and what do its setup files show
Health score
58 out of 100
| Part | Points | What we saw |
|---|---|---|
| Recent activity | 26.1 of 30 | Last push 73 days ago |
| Releases | 0 of 15 | 0 releases in 90 days |
| Issue replies | Not counted | The latest check has no issue response reading (fewer than 3 measured issues, or issues switched off) |
| Maintainer | 0 of 15 | Owned by a single user |
| Official source | 20 of 20 | Official server |
Alternatives
Alternatives to Auctalis/nocturnusai
| Record | Type | How we know | Checked |
|---|---|---|---|
| topoteretes/cogneeThis is an alternative to it | MCP server | Named in the listing | Not dated |
| upstash/context7This is an alternative to it | MCP server | Named in the listing | Not dated |
| vectorize-io/hindsightThis is an alternative to it | MCP server | Named in the listing | Not dated |
Compare
Compare Auctalis/nocturnusai side by side
Sources
Where this comes from
- GitHubRegistry
A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.
Changelog
What changed
No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.
Open-source & AI alternatives
Swap-in tools that solve the same job. Weigh the trade-offs before you commit.
topoteretes/cognee
Various
Memory platform for AI Agents in 6 lines of code
upstash/context7
Various
Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors
vectorize-io/hindsight
Various
Hindsight: Agent Memory That Learns
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
Crewai
Community
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
OpenDevin
Community
🙌 OpenHands: AI-Driven Development
Get the free Developer’s Field Guide
A 27-page field guide to the AI coding workflow with Claude. Claude Code, MCP servers, the prompt patterns that work, and what to delegate. Free.
Enter your work email. We send it straight over, plus a few short notes worth knowing. Unsubscribe any time.