Agent-Native Calendar
Agent-Native Google Calendar - manage events, sync, and public booking
Beschreibung vom Entwickler (englisches Original)
Codebase memory for AI agents: an AST index plus agent-written notes that self-stale.
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
Du brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Öffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein
{
"mcpServers": {
"coldstart": {
"command": "npx",
"args": [
"-y",
"@cstart/coldstart"
]
}
}
}Führe das in deinem Terminal aus
claude mcp add coldstart -- npx -y @cstart/coldstartIn .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"coldstart": {
"command": "npx",
"args": [
"-y",
"@cstart/coldstart"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"coldstart": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@cstart/coldstart"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
Dieser Server läuft auf deinem Computer, und ChatGPT kann sich nur mit Servern im Internet verbinden. Wähle eine andere App.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Läuft auf deinem Computer; die Tool-Liste erscheint nach der Installation in deiner KI-App.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 6. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto AkashGoenka bestätigt, dem das Repo gehört
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieser Server läuft auf deinem Computer; es gibt keinen Endpunkt im Internet
Läuft auf deinem Computer und nutzt stattdessen lokale Einstellungen
Läuft auf deinem Computer; Tool-Listen können wir nur von Endpunkten im Internet lesen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 1 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.
Er läuft auf deinem Computer. Deine KI-App startet ihn bei Bedarf, und die Daten laufen nicht über die Server des Entwicklers (außer der Server ruft selbst einen Onlinedienst auf).
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (2.2.17) kam vor 3 Monaten in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Node.js auf deinem Computer.
In derselben Kategorie: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
Agent-Native Google Calendar - manage events, sync, and public booking
Create and edit Excel files with AI: charts, PivotTables, formulas. No Excel needed.
Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
coldstart
Self-maintaining codebase knowledge for AI coding agents.
Agent-written notes that stay anchored to your code — plus fast, deterministic navigation — so Claude Code, Codex, and Cursor stop rediscovering the repo every session.
Website · Docs · Blog · Philosophy · npm
Two layers, one tool:
coldstart kb) — durable, agent-written notes about how _this_ codebase actually works: what a file is for, how a flow spans files, which invariants hold. Captured after real tasks, recalled when a later task matches, and kept honest by the index — every note is anchored to real files, and a note whose evidence drifted is flagged, not served as truth.coldstart find / coldstart gs) — a fast static index over file paths, symbol names, exports, and the import/call graph. It answers "which files are relevant to this task?" in milliseconds, with checkable evidence instead of a similarity score.No embeddings, no model to run, no service to babysit. Agents are already good at reading and reasoning about code; what they waste tokens on is _finding_ the right file and _re-deriving_ what the last session already figured out. coldstart does those two parts and gets out of the way.
Requires Node.js 18+.
npm install -g @cstart/coldstart
cd your-project coldstart init # coldstart.md + client wiring + notebook + background index warm-up
A single coldstart init does everything — navigation and the notebook. It asks two things — the experience (cli, recommended, or mcp) and the client — then writes the agent-facing guidance into the client's own rules file (as an imported coldstart.md for Claude Code; inlined directly for Cursor and Codex, which don't resolve @file references), wires the client, and sets up the notebook (skeleton, git wiring, and — for Claude Code, Codex, and Cursor — the capture/recall hooks). Pass --experience / --client to skip the prompts. The client is never auto-detected; you always pick it.
coldstart.md and ensures CLAUDE.md imports it via @coldstart.md, and registers both the find/gs search hooks (a PostToolUse nudge + a PreToolUse find-dedup guard) and the notebook recall/capture hooks (UserPromptSubmit + Stop/SubagentStop) in .claude/settings.json — merged into any existing settings, never overwriting them. The mcp experience also writes .mcp.json.AGENTS.md (Codex has no @file include, so there's no separate coldstart.md), refreshed in place on re-run, and registers Codex-specific navigation plus notebook hooks in .codex/hooks.json. The capture hook understands Codex rollout and subagent transcripts. The mcp experience also writes [mcp_servers.coldstart] into .codex/config.toml..cursor/rules/coldstart.mdc — an always-applied rule that carries the full coldstart guidance inline (Cursor doesn't reliably resolve @file references in rules), rewritten on every init — and registers Cursor-specific navigation plus notebook hooks in .cursor/hooks.json (a preToolUse find-dedup guard, a postToolUse nudge, beforeSubmitPrompt recall, and stop/subagentStop capture — merged into any existing hooks). The capture hook parses Cursor's own conversation transcript. The mcp experience also writes .cursor/mcp.json.coldstart.md only, and prints the wiring directions (plus the MCP server entry for the mcp experience).On every client, the PostToolUse hook also delivers the "Edited together" signal without waiting to be asked. Once an agent has edited two different files, it names the files that git history says keep changing alongside them — the sibling implementation, the test in another language, the doc that drifts. Agents don't reliably run gs before editing, so the signal only reached them if they went looking; this puts it in front of them at the edit. It's advisory: the message says outright that the relation is a habit rather than a code dependency, and asks the agent to check rather than to change anything. Each file is named at most once per task, and the list resets whenever you send a new message.
init then warms the index in the background, so your first lookup is instant. Re-running init is safe — it never duplicates entries.
npm install -g @cstart/coldstart@latest
coldstart init # re-run in each project to refresh coldstart.md
A version stamp in the keeper's lockfile makes the old background keeper shut down on the next lookup; a fresh one spawns from the new binary. No manual restart needed.
[!NOTE]
Migrating from `coldstart-mcp`: the package was renamed
coldstart-mcp→ `@cstart/coldstart` at 2.0.0 (the CLI is now the primary surface).coldstart-mcpis deprecated but still installs; switch withnpm uninstall -g coldstart-mcp && npm install -g @cstart/coldstart && coldstart init. Thecoldstart-mcpbinary name is kept as an alias, so existing MCP configs keep working.
init writes per-repo wiring that a global npm uninstall can't reach (npm fires no reliable uninstall hook, and it has no record of which repos you init'd). So — like husky — coldstart ships an explicit reverse:
coldstart unwire # strip coldstart's wiring from this repo (notebook kept)
coldstart unwire --purge # also delete .coldstart/notebook/ and its git plumbing
unwire removes only coldstart-owned markers from the files init touched — hook entries, the @coldstart.md import, the AGENTS.md block, the MCP server entry, and files coldstart fully owns (coldstart.md, .cursor/rules/coldstart.mdc) — never your own content in shared files. It sweeps all four clients, is idempotent (a second run reports everything already gone), and keeps the notebook by default since it's committed, shared data. Run it in each project first, then npm uninstall -g @cstart/coldstart to remove the package.
A repo-local knowledge base written and read by agents, in .coldstart/notebook/:
coldstart kb search tile save lifecycle # plain task words, symbols, or file names
coldstart kb lookup src/models.py Tile # everything known at one exact address coldstart kb write spec.json # the write gate (two-phase dedup) coldstart kb commit # publish notes to git, nothing else rides along coldstart kb view # open a single-file HTML browser of the notebook coldstart kb repair # worklist of notes that are written but unfindable coldstart kb repair-aliases # worklist of aliases that may no longer be true coldstart kb status / lint / render / init / migrate
What a note is. Three shapes: a file note (what a file is for — a single summary, or per-symbol facets for hub files), a flow note (a cross-file story: ordered steps, invariants), and a lesson (a trap, rule, bug-cause, rationale, or confirmed absence). Every note carries anchors — concrete file paths and symbols its claims rest on.
Where notes reach the agent. Three surfaces, no new habits required:
[fresh] means the file is byte-identical to when the summary was verified — the agent can rely on it without re-reading the file.path [symbol]) before editing a file.Why it can be trusted. This is the part that took the design work:
[evidence changed: ] and the guidance says re-verify — stale knowledge degrades into a labeled hypothesis instead of a confident lie..raw event log (commit it — merges are unions, so parallel branches of notes reconcile without conflicts). The Markdown notes are derived, regenerated mechanically, and gitignored.--into ) or declare it new (--new). Duplicates are gated at write time, not cleaned up later.Setup: the notebook comes with coldstart init — no separate step. It creates the notebook skeleton, sets union-merge for the logs, and (on Claude Code, Codex and Cursor) wires the two hooks — capture at session end, recall at prompt time. (coldstart kb init still exists as an alias if you want to (re-)wire just the notebook.) Other hosts can drive the notebook without the hooks: via the full kb CLI, or — for no-shell clients — the kb_search / kb_lookup / kb_write / kb_status / kb_repair / kb_repair_aliases MCP tools.
Language-agnostic. The notebook's freshness machinery is content-hash based, so it works on any codebase — including languages the navigation index doesn't parse. Where the index does parse, notes additionally get symbol-level freshness.
[!NOTE]
The notebook is young. What's verified today: notes written by agents in real sessions checked out accurate against the code; the stale-note loop closes end-to-end (flag → re-read → correction); capture, recall, and concurrent writes hold up under stress. The bet — stated as a bet — is that a corpus like this compounds over a repo's lifetime: the second time any question comes up, the answer is one
Readaway instead of a re-derivation.
| | What it answers
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