Prototipo · Versión preliminar: todos los servidores del registro oficial, sincronizados cada 30 minutos. Las reseñas y las cuentas llegarán en una etapa posterior.
PopNx MCPServidores MCP para quienes usan IA · explicados con palabras sencillas

coldstart

de AkashGoenkaversión 2.2.17i★ –iSe ejecuta en tu computadora
Nombre en el registroio.github.AkashGoenka/coldstart

Instalar

Resumen

Descripción del creador (original en inglés)

Codebase memory for AI agents: an AST index plus agent-written notes that self-stale.

Los tres pilares de PopNx MCP

Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.

Qué puedes hacer con él

Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.

  • Conexión: Se ejecuta en tu computadora
  • Transporte: stdio
  • Categoría: Documentos, hojas de cálculo y oficina

Instalación

Elige la app de IA que usas y copia la configuración.

Antes de instalar

Necesitas

  • npmNode.js instalado (para el comando npx)

¿Qué app usas?

Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.

Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json

{
  "mcpServers": {
    "coldstart": {
      "command": "npx",
      "args": [
        "-y",
        "@cstart/coldstart"
      ]
    }
  }
}

Ejecuta esto en tu terminal

claude mcp add coldstart -- npx -y @cstart/coldstart

Abrir en Cursor

O copia la configuración tú

Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json

{
  "mcpServers": {
    "coldstart": {
      "command": "npx",
      "args": [
        "-y",
        "@cstart/coldstart"
      ]
    }
  }
}

Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.

Abrir en VS Code

O copia la configuración tú

Pégalo en .vscode/mcp.json de tu proyecto

{
  "servers": {
    "coldstart": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@cstart/coldstart"
      ]
    }
  }
}

Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.

Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.

Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.

Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.

Qué puede hacer

Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.

Revisiones básicasi

Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026

  • ✓ Superada

    El creador coincide con el repo

    El nombre en el registro se verificó con la cuenta de GitHub AkashGoenka, dueña del repo

  • … Aún sin revisar

    Sigue en mantenimiento

    Todavía no hemos leído este repo en GitHub

  • … Aún sin revisar

    Tiene licencia

    Todavía no hemos leído este repo en GitHub

  • – No aplica

    El endpoint responde

    Este se ejecuta en tu computadora; no hay endpoint en internet

  • – No aplica

    Inicio de sesión con OAuth

    Se ejecuta en tu computadora y usa ajustes locales en su lugar

  • … Aún sin revisar

    Sin instrucciones ocultas en las descripciones de herramientas

    Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet

Comparado con otros en Documentos, hojas de cálculo y oficinai

  • Más estrellas que el 0% de los otros 2188 servidores de esta categoría
  • Publicado en el registro más recientemente que el 24% de los otros 2188 servidores de esta categoría
  • Revisiones básicas iguales o mejores que el 100% de los otros 2188 servidores de esta categoría

Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.

Preguntas frecuentes

¿Es seguro coldstart?

Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.

¿Qué claves o códigos necesita?

El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.

¿Se ejecuta en mi computadora o en la nube?

Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).

¿Sigue en mantenimiento?

El repo de GitHub cambió por última vez –, y la última versión (2.2.17) llegó al registro hace 3 meses.

¿Qué apps pueden usarlo?

Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js en tu computadora.

¿Qué puedo usar en su lugar?

En la misma categoría: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel

Alternativas

Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.

Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi

Agent-Native Google Calendar - manage events, sync, and public booking

Se ejecuta en la nube★ 7620MITActualizado hace 2 meses
Instalar

Excel MCP Server

de haris-musa

Create and edit Excel files with AI: charts, PivotTables, formulas. No Excel needed.

Se ejecuta en tu computadora★ 4276MITActualizado hace 6 días
Instalar

Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.

Se ejecuta en tu computadora★ 847MITActualizado hace 3 días
Instalar

README del creador

Abrir el README

Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.

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:

  • The notebook (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.
  • Navigation (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.


Install

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.

  • Claude Code → writes 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.
  • Codex → embeds the full coldstart guidance inline in a marked block in 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 → writes .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.
  • Other → writes 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.

Upgrading
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-mcp is deprecated but still installs; switch with npm uninstall -g coldstart-mcp && npm install -g @cstart/coldstart && coldstart init. The coldstart-mcp binary name is kept as an alias, so existing MCP configs keep working.

Removing coldstart

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.


The notebook

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:

  1. `Summary:` lines on `find` results — a past agent's verified overview of a file, right where the file ranks. [fresh] means the file is byte-identical to when the summary was verified — the agent can rely on it without re-reading the file.
  2. Recall at prompt time (optional hook) — notes whose titles, aliases, or anchors match the incoming prompt are surfaced as a compact title + gist + path block, hard-capped, framed as reference data. Nothing matches → nothing injected.
  3. `kb search` / `kb lookup` — a search engine over the notebook for mid-task vocabulary changes, and an exact-address lookup (path [symbol]) before editing a file.

Why it can be trusted. This is the part that took the design work:

  • Freshness is mechanical, not hoped-for. Every anchor is stamped with a content hash at write time; the index re-checks stamps as the code changes. A drifted note renders [evidence changed: ] and the guidance says re-verify — stale knowledge degrades into a labeled hypothesis instead of a confident lie.
  • The log is the truth. Notes live in an append-only .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.
  • Writes go through a gate. A new note's concept is first searched against existing notes — the agent must explicitly merge into a match (--into ) or declare it new (--new). Duplicates are gated at write time, not cleaned up later.
  • Concurrent sessions are safe. Multiple agents can write at once: per-note append-only logs, exclusive creation for new note ids (a same-moment duplicate becomes two visible notes, never a silent merge), lossless merging for shared file notes, and atomic renders (a reader never sees a half-written note).
  • Corrections happen in-session. If an agent finds a note wrong while the evidence is in its context, the guidance tells it to fix or retract the note right then — no better-placed future agent exists.

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 Read away instead of a re-derivation.


Navigation: the two operations

| | What it answers

Solo se muestra el principio; lee el resto en el repo

Pregunta a PopNx