Context7
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Computer or cloud
M1K3
What it does
Private memory, documents, voice and a local LLM for your agents, served by a Mac app on-device.
- Connects –
- Account or key No key needed
- Category Search & AI memory
Install
Pick the AI app you use, then copy the settings.
Passed 2/3 checks · Runs on your computer
First: which AI do you use?
Pick your app and the steps appear below.
Claude cannot connect M1K3 yet
The maker has not listed install details in the MCP Registry yet
ChatGPT cannot connect M1K3 yet
The maker has not listed install details in the MCP Registry yet
What you can do instead
B · Others in Search & AI memory that work with ChatGPT
Picked from the most used in the same category, only ones that connect by address with no key
- Context7✓ ChatGPT
- AIHOT✓ ChatGPT
- Sui Knowledge Base (kapa.ai)✓ ChatGPT
Claude Code cannot connect M1K3 yet
The maker has not listed install details in the MCP Registry yet
Cursor cannot connect M1K3 yet
The maker has not listed install details in the MCP Registry yet
VS Code cannot connect M1K3 yet
The maker has not listed install details in the MCP Registry yet
At a glance
- GitHub starsi
- 6 (Stars for the whole repo)
This repo holds several MCP listings; its stars count once in rankings - Downloads per weeki
- Not on npm/PyPI
- Verified domain
- ✓ m1k3.app
- Connection
- –
- Latest versioni
- 1.0.0
- Categoryi
- Search & AI memory
- Published to registryi
- Oct 3, 2026
- Code last changedi
- Nov 12, 2026
- Maker
- Round-Tower
- Website
- m1k3.app
- Registry status
- Active
Related guides
What it can do
Runs on your computer; the tool list appears in your AI app after you install it.
Basic checksi
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 13, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified against the domain m1k3.app (the registry checks domain ownership)
- ✓ Pass
Still maintained
Code last changed yesterday
- ! Caution
Has a licence
GitHub could not identify the licence type; open the file to check
- – Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
- – Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
- … Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints
Discussion
Ask, share a tip or report that it does not work. Sorted by what people marked helpful.
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Posts here are written by users, not the PopNx team.
User reviews
No reviews yet
Compared with others in Search & AI memoryi
- More stars than 76% of the other 6042 servers in this category
- Published to the registry more recently than 48% of the other 6042 servers in this category
- Basic checks equal to or better than 49% of the other 6042 servers in this category
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
Common questions
Is M1K3 safe?
It passed 2 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
What keys or codes does it need?
The registry does not list a required key, though some servers ask you to sign in on first use.
Does it run on my computer or in the cloud?
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
Is it still maintained?
The GitHub repo last changed yesterday, and the latest version (1.0.0) reached the registry 41 days ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code.
What can I use instead?
In the same category: Context7, Codebase Memory, Ruflo
Others in the same category
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Codebase Memory
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Runs on your computer
Ruflo
Agent teams, swarms, memory and hooks for Claude Code and Codex, served over MCP.
Runs on your computer
README from the maker
Open the README
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
M1K3 for macOS — build from source
The flagship surface: a Mac-native SwiftUI app — on-device MLX inference, live voice (Kokoro TTS + WhisperKit STT), a personal knowledge graph with RAG, an embedded agent, a 3D companion, and a local MCP server other agents can call.
Private by design. M1K3 runs on your Mac. Models download once from Hugging Face; after that the only network use is web search, which is on by default so answers can be current, with one switch in Settings to turn it off. (An opt-in Apple Private Cloud Compute rung arrives in a later release; the 1.0 build has no cloud path.)
Requirements
- macOS 26 (Tahoe) on Apple Silicon — hard requirement: the app uses Liquid Glass, on-device Foundation Models, and Metal via MLX.
- Xcode 26.x (Swift 6.2 toolchain).
- XcodeGen and (optional, nicer logs) xcbeautify:
brew install xcodegen xcbeautify - Disk: nothing to download for the default brain (Mini runs on Apple's on-device models). Allow ~2–7 GB extra only if you opt into the bigger Lil/Big brains.
Build & run
git clone https://github.com/Round-Tower/M1K3.gitcd m1k3/macos
project.yml is the source of truth — M1K3.xcodeproj is generated, not tracked
xcodegen generate
open M1K3.xcodeproj # then ⌘R (set your own dev team for local signing)
Or from the command line:
xcodebuild -scheme M1K3 -destination 'platform=macOS' build | xcbeautifyThe same package graph also drives the iOS + visionOS shell (M1K3iOSApp/):
xcodebuild -scheme M1K3iOS -destination 'generic/platform=iOS Simulator' build | xcbeautify xcodebuild -scheme M1K3visionOS -destination 'generic/platform=visionOS Simulator' build | xcbeautify
First launch is one screen: say hello (a name is optional) and you're talking — M1K3 starts on Mini, Apple's built-in on-device model, so there's nothing to download. Sharper local brains (Lil / Big) are one click away in Settings, or via the in-chat offer after your first answer; weights download only when you ask.
Signing note: run with your personal development team. Building with
CODE_SIGNING_ALLOWED=NOcompiles fine (CI does it) but the app then runs
without its sandbox container and will read/write the wrong data locations.
Tests
The business logic lives in SwiftPM packages and tests without Xcode:
swift test --parallel --disable-xctest # the full fast suite (CI runs it without the flag)tools/dev/tdd.sh M1K3KnowledgeTests # one test target, rebuilt and run alone
Tests use swift-testing (import Testing, @Test), not XCTest.
Heavy MLX/Metal integration tests are env-gated off by default — M1K3_MLX_INTEGRATION=1 swift test opts in (downloads a real model and generates; Apple Silicon only).
Where things are
M1K3App/ | macOS app shell: SwiftUI views, AppEnvironment, settings |
M1K3iOSApp/ | iOS + visionOS SwiftUI shell (M1K3iOS/M1K3visionOS schemes) on the shared Sources/ graph |
Sources/ | SwiftPM modules: agent, inference, knowledge/RAG, voice, MCP |
Tests/ | swift-testing suites per module |
project.yml | XcodeGen spec (the .xcodeproj is a build artifact) |
ROADMAP.md | What's next — kept current |
PLAN.md | Historical build log / decision record (append-only, signed) |
docs/ | ADRs, model choices, MCP setup, release pipeline |
MCP server
The running app serves MCP over HTTP at http://127.0.0.1:4242/mcp — knowledge search, documents, voice, and ask_m1k3 (ask the resident AI). See docs/MCP_SETUP.md to wire it into Claude Code or any MCP client.
Contributing
See CONTRIBUTING.md at the repo root. Found a bug? In the app: Settings → Report an issue… generates a redacted diagnostic you can attach to a GitHub issue.