Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Run local models on your Apple silicon Mac with Loci. Requires macOS 26.2 or later.
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We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Download the maker’s .mcpb file
The link goes to the maker’s own file; we do not host or repackage it. Open the file and Claude Desktop installs it.
Run this in your terminal
Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
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 7, 2026
The registry name was verified with the GitHub account AskLoci, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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).
The GitHub repo last changed –, and the latest version (0.1.7) reached the registry 7 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need MCPB on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, Draugr
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Security scanning for AI agents: SAST, SCA, secrets, IaC, DAST, ranked by real risk.
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Use models running on your Mac for summaries, rewriting, classification, structured output and batch processing. Compatible Loci app versions also provide file processing, document extraction, folder search and audio transcription.
Requires an Apple silicon Mac, macOS 26.2 or later, and the Loci direct-download app. Available tools depend on your app version.
Add the Loci marketplace:
codex plugin marketplace add AskLoci/loci-plugins
In the desktop app, open the Plugins Directory, select Loci, and install the Loci plugin. If the marketplace does not appear, restart the desktop app. Start a new chat and ask: “Help me set up Loci.”
Download the Codex plugin (0.1.8).
Requires Node.js 22 or later.
Add the marketplace and install Loci:
claude plugin marketplace add AskLoci/loci-plugins
claude plugin install loci@askloci
Start a new conversation and ask: “Help me set up Loci.” Setup and data handling.
Open Customize → Plugins and add https://github.com/AskLoci/loci-plugins as a repository source. Install Loci, start a new conversation, and ask: “Help me set up Loci.” Setup and data handling.
With Node.js 22 or later on your PATH, install the extension:
gemini extensions install https://github.com/AskLoci/loci-plugins --ref main
Start a new Gemini CLI session on your Mac and ask “Help me set up Loci.” Run /mcp to see which Loci tools are available. If you already configured a manual server named loci, Gemini uses it first. To switch to the extension, remove that entry with gemini mcp remove loci --scope user or --scope project, matching where you added it, then restart Gemini CLI.
Set up Loci in Antigravity.
Use the Loci MCP bundle with a local macOS client that supports MCPB, or configure the signed connector as a local stdio server. No Node.js or Python runtime is required.
Open Loci and enable Settings → Advanced → Agent Access. Keep Loci running while using the plugin. The setup tool checks the connection and helps choose an installed model or a compatible download. Existing models are shared with the app.
If the saved connection is stale or refused, setup gives a connection-repair step before any model work. App and plugin updates are separate; each client can have a different plugin version.
Model inference runs on your Mac. Prompts, paths and returned results shared in your assistant conversation follow that assistant’s data policies. File tools can read paths you authorize; summaries, extracted values, quotes and search passages can reveal information from those files.
The connector reads Loci’s owner-only connection file and sends its credential only over loopback. It has no separate analytics or external reporting endpoint. Loci’s data practices are described in its privacy policy.