Alto Connector
Builds interactive, filterable timelines from your own materials through an interview process, generating self-contained offline files with optional web publishing and cross-device sync.
README
Alto Connector
mcp-name: io.github.lukebmandel-debug/alto-connector
A Claude connector that interviews you about your own materials — a course, a novel, a research project — and builds you an interactive, filterable "liquid-glass" Alto timeline: glass cards on colored act bands, entity chips, routed connection lines, detail pages with your own schema, highlights and notes, mobile layout, and a self-contained offline file you can share.
The one rule (§0): Alto is a closed knowledge container. It connects and organizes what you provide — it never invents facts, events, holdings, or descriptions. Sparse notes make a sparse timeline, on purpose. The connector enforces this server-side: authoring tools stay locked until your materials and explicit consent are recorded.
Install
Download the file for your computer from the latest release, then in Claude Desktop go to Settings → Extensions → Advanced settings → Install Extension… and choose it. Restart Claude Desktop and Alto appears under Extensions.
| macOS, Apple Silicon | Alto-macos-arm64.mcpb |
| macOS, Intel | Alto-macos-x64.mcpb |
| Windows, 64-bit | Alto-windows-x64.mcpb |
Nothing else to install. Each bundle carries its own Python, which is why it is around 50MB. Claude Desktop ships Node but not Python, and stock macOS still has 3.9 — too old for this server.
Without Claude Desktop
Alto is a plain MCP server, so any MCP client can run it — Claude Code, Cline, Zed, Continue, your own script. No download, no bundle.
Add this to your client's MCP config:
{
"mcpServers": {
"alto": {
"command": "uvx",
"args": ["--from",
"git+https://github.com/lukebmandel-debug/alto-connector",
"alto-connector"]
}
}
}
Requires uv
(curl -LsSf https://astral.sh/uv/install.sh | sh). uvx fetches and runs
Alto in a throwaway environment each time, so there is nothing to install or
update.
Prefer a permanent install? Then alto-connector is on your PATH and the
config is simply {"command": "alto-connector"}:
pip install git+https://github.com/lukebmandel-debug/alto-connector
alto-connector --help # check it works; without --help it waits for a
# client to speak to it, which looks like a hang
Everything works the same way — the interview, the build, the offline file — because the bundle and this are the same server; the bundle just carries its own Python so Claude Desktop users need not install one.
Timelines land in ~/Documents/Alto. Each is a single self-contained HTML
file you open in any browser — no server, no account, no internet. Shareable
web links are optional (see Publishing below); without them, that file is the
finished product.
Then tell your client: "I want to build a timeline in Alto — interview me."
From a checkout
bash setup.sh — macOS and Claude Desktop only; it registers the
connector by writing claude_desktop_config.json. For any other client, use
one of the two methods above pointed at your checkout.
Using it — what a new user actually does
- Open a chat and say something like "I want to build a timeline in Alto — interview me."
- Claude calls
get_interview_guideand runs a short warm interview:- Flow 1 — name the project container and what it's for.
- Flow 2 §A — the materials gate: you hand over your actual materials (upload files or paste text into the chat), and explicitly agree that Alto builds only from them.
- §B–§I — title, what the axis means, your acts/eras, your entities (characters, doctrines, teams…), node schema (e.g. Facts·Issue·Holding· Rule for law), relationship vocabulary for the lines, extra filter axes, persona, presentation.
- Claude authors nodes verbatim from your materials, wires connections, runs a layout preview, builds (a verifier gates every build), and publishes.
- You get your timeline two ways:
- Offline file (always): one self-contained HTML — double-click to open, send to a friend, works forever with no server.
- Web links (optional, still free): if Firebase publishing is
configured,
https://<your-site>.web.app/t/<timeline>/plus a homepage listing all your published timelines, a reports page, and cross-device sync of highlights/notes/reports.
- Come back any time — drafts resume across chats via
get_timeline.
Publishing (optional web links + cross-device sync)
Timelines are private by default and the offline file always works. To publish shareable links — and to get highlights, notes and reports syncing between your desktop and your phone — you host them on your own free Firebase project (Spark plan, no card).
You host what you share. Everyone who authors a timeline publishes to their
own project, so the people you send a link to read it from your site and their
notes live in your Firestore. That means you can revoke a link at any time
(publish_timeline(timeline_id, visibility="private") deletes the page from
your site), and it means nobody's data flows through anyone else's project.
Reading a shared timeline needs no install and no Alto account — just the link.
-
console.firebase.google.com → create a project → Hosting → add a site (e.g.
my-alto). -
Enable Firestore and Authentication → Google in that project, and deploy the per-user rules in
firestore.rules(firebase deploy --only firestore:rules). Do this before publishing: a Firestore left in test mode is world-readable and world-writable for 30 days. -
npm i -g firebase-tools && firebase login -
Open Alto's settings in Claude Desktop (Settings → Extensions → Alto) and fill in Firebase Hosting site, Firebase project id and Firebase web config. From a checkout instead, set
ALTO_FIREBASE_SITE,ALTO_FIREBASE_PROJECTandALTO_FIREBASE_CONFIGin the environment.The web config comes from Firebase console → Project settings → Your apps → SDK setup and configuration. It is spliced into
alto-cloud.jsat publish time. Leave it unset and sync is simply off: highlights stay in the browser's local storage on each device.ALTO_FIREBASE_BINoverrides the path to thefirebaseCLI if it is not on yourPATH.
Two things worth knowing before you share a link. Published means public to anyone who has the URL — the address carries a random tail so it cannot be guessed, but it is not access-controlled. And a reader who signs in to sync their notes gets an account in your Firebase project: the security rules stop you reading their notes through the app, but you own the project and can see them in the Firebase console.
Repo layout
engine/— the three page templates, extracted content-free from the reference build. The extraction fixtures they were derived from are not published: they contain the author's own writing.test_roundtrip.pyskips without them.alto/build/— brief model, height estimator, layout resolver (a port of the engine's own), block generators, verifier, offline bundler.alto/mcp_server.py— the 14 MCP tools + interview prompt.alto/build/sanitize.py— makes user content inert before it reaches a page. Load-bearing: the engine renders detail sections straight intoinnerHTML.alto/publish_static.py— free-tier static publishing via the Firebase CLI.packaging/— the .mcpb bundles, the download page and the registry entry. Seepackaging/README.md.alto/web.py,alto/auth/— a full remote-server variant (streamable HTTP- OAuth 2.1), not used by the local install; kept for a future hosted deployment.
Development
.venv/bin/python -m pytest tests/ # incl. the golden round-trip
python3 -m alto.build samples/contracts_brief.json --bundle # CLI build
Privacy
See alto/privacy.html. Short version: your source documents stay in your
Claude conversation; the connector stores only what it builds, locally in
~/Documents/Alto (and, if you publish, on your own Firebase site).
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.
E2B
Using MCP to run code via e2b.