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PopNx MCPServidores MCP para quienes usan IA · explicados con palabras sencillas

Thread Mind

de mahmoud-nbversión 0.5.0i★ –iSe ejecuta en tu computadora
Nombre en el registroio.github.mahmoud-nb/thread-mind

Instalar

Resumen

Descripción del creador (original en inglés)

Git-friendly memory for AI coding: a tree of thread summaries with inherited context

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: Búsqueda y memoria de IA

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": {
    "thread-mind": {
      "command": "npx",
      "args": [
        "-y",
        "thread-mind-mcp"
      ],
      "env": {
        "THREADMIND_ROOT": "your-value",
        "THREADMIND_AUTHOR": "your-value"
      }
    }
  }
}

Ejecuta esto en tu terminal

claude mcp add thread-mind --env THREADMIND_ROOT=your-value --env THREADMIND_AUTHOR=your-value -- npx -y thread-mind-mcp

Completa los valores vacíos antes de ejecutarlo.

Abrir en Cursor

O copia la configuración tú

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

{
  "mcpServers": {
    "thread-mind": {
      "command": "npx",
      "args": [
        "-y",
        "thread-mind-mcp"
      ],
      "env": {
        "THREADMIND_ROOT": "your-value",
        "THREADMIND_AUTHOR": "your-value"
      }
    }
  }
}

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": {
    "thread-mind": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "thread-mind-mcp"
      ],
      "env": {
        "THREADMIND_ROOT": "your-value",
        "THREADMIND_AUTHOR": "your-value"
      }
    }
  }
}

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.

Valores que debes completar

  • THREADMIND_ROOT env
    Project directory holding .threadmind/, for clients that start servers outside your project
  • THREADMIND_AUTHOR env
    Author ID used for team-mode ownership (defaults to one derived from your git identity)

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 mahmoud-nb, 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 Búsqueda y memoria de IAi

  • Más estrellas que el 0% de los otros 7251 servidores de esta categoría
  • Publicado en el registro más recientemente que el 49% de los otros 7251 servidores de esta categoría
  • Revisiones básicas iguales o mejores que el 100% de los otros 7251 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 Thread Mind?

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 (0.5.0) llegó al registro hace 40 días.

¿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: Context7, Codebase Memory, Exa

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

Context7

de upstash

Up-to-date docs for AI agents

Computadora o nube★ 64.224MITActualizado hoy
Instalar

Codebase Memory

de DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Se ejecuta en tu computadora★ 48.148MITActualizado hace 20 días
Instalar

Exa

de exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Se ejecuta en la nube★ 5213MITActualizado el mes pasado
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.

ThreadMind MCP

Branches for your AI's memory: a git-friendly tree of thread summaries.

ThreadMind is a Model Context Protocol (MCP) server that gives AI coding sessions a memory: a tree of threads, each holding a short summary of what was decided about one topic, stored as Markdown in your repository. Start a fresh session and the active thread's context — its decisions and those of its ancestors — replaces a history that had grown to tens of thousands of tokens.

[Documentation](https://mahmoud-nb.github.io/thread-mind-mcp/) | [npm](https://www.npmjs.com/package/thread-mind-mcp) | [GitHub](https://github.com/mahmoud-nb/thread-mind-mcp)


Why ThreadMind?

With AI coding assistants, conversations grow long: every request carries the whole history, until the client compacts it or you start over — and starting over loses what was decided. ThreadMind keeps what matters:

  • Summaries in sections — Decisions, Constraints, State, Open questions, Next steps
  • Inheritance through the tree — a thread's context is its summary plus its ancestors' decisions and constraints; sibling branches stay out
  • Branching exploration — try approaches in separate threads, merge the winner's conclusions into the parent, keep the reason an approach was abandoned
  • Git-aware — a thread created on a feature branch becomes active whenever that branch is checked out, and summaries warn when the code they describe has changed
  • Team collaboration — thread files are committed with the code and reviewed in pull requests
Where the savings come from

ThreadMind can't shrink a conversation in progress: your client decides what it sends. The savings come when you start over:

Before /clear:   the conversation carries ~48,000 tokens of history

After /clear: the session starts with the thread's context, ~1,100 tokens

main ├── auth │ └── auth-ui ← active context = main + auth (decisions, constraints) + auth-ui └── dashboard dashboard stays out

With the Claude Code plugin, the context reloads automatically after /clear and after compaction, and stats_show measures both sizes on your own sessions.


Quick Start

Claude Code plugin (recommended)
/plugin marketplace add mahmoud-nb/thread-mind-mcp

/plugin install thread-mind@thread-mind

The plugin installs the server and adds hooks that:

  • load the active thread's context at startup, after /clear and after compaction (nothing happens in repositories without a ThreadMind project)
  • remind Claude to save the summary as the conversation grows, and once more when the context window is nearly full
  • recover the summary after a compaction that happened before it was saved, and tell you when /clear dropped unsaved work
  • follow git branch changes, giving Claude the new active thread's context
  • record the files Claude edits with the next summary, so it gets flagged when they change
  • answer `tm:tree` and `tm:stats` instantly, without using tokens
  • measure how large conversations grow, read from their transcripts, for stats_show

It also brings commands (/thread-mind:context, /thread-mind:tree, /thread-mind:create, /thread-mind:switch, /thread-mind:summary, /thread-mind:merge, /thread-mind:stats) and options in /config. A status line (thread-mind-mcp status-line) keeps the active thread and its unsaved work in view. See the plugin guide.

If you configured ThreadMind manually before, remove that configuration so Claude Code doesn't run two servers.

Installation

No installation required — run directly with npx:

npx thread-mind-mcp

Or install globally:

npm install -g thread-mind-mcp
Configure with Claude Code (without the plugin)

Run from your project root. To share the server with your team, add it at project scope: Claude Code writes .mcp.json at the project root, which you commit.

# macOS / Linux

claude mcp add --scope project thread-mind -- npx -y thread-mind-mcp

Windows: npx is a .cmd script, wrap it in cmd /c

claude mcp add --scope project thread-mind -- cmd /c npx -y thread-mind-mcp

The resulting .mcp.json (you can also write it by hand):

{

"mcpServers": { "thread-mind": { "command": "npx", "args": ["-y", "thread-mind-mcp"] } } }

On Windows, use "command": "cmd" and "args": ["/c", "npx", "-y", "thread-mind-mcp"]. Each teammate approves the server the first time Claude Code starts it in the repository.

For yourself only, drop --scope project (default local scope: you, in this project) or use --scope user (you, in every project). Both are stored in ~/.claude.json, which Claude Code manages.

ScopeStored inApplies to
local (default)~/.claude.json, under the current projectYou, in this project
project.mcp.json at the project rootEveryone who clones the repository
user~/.claude.jsonYou, in every project

Claude Code doesn't read MCP servers from ~/.claude/settings.json or .claude/settings.json. Check the configuration with claude mcp list, or /mcp inside a session.

Windows + Volta: if Claude Code can't resolve Volta's npx shim, delegate to volta run:

claude mcp add --scope project thread-mind -- cmd /c volta run npx -y thread-mind-mcp
Configure with other MCP clients

ThreadMind uses the stdio transport, compatible with any MCP client. The command is always npx -y thread-mind-mcp; what changes is where each client declares it, and whether it reads the usage instructions the server sends:

ClientServer configurationUsage instructions
Cursor.cursor/mcp.json or ~/.cursor/mcp.jsonAGENTS.md
VS Code (GitHub Copilot).vscode/mcp.json (servers key) or .mcp.jsonSent by the server
GitHub Copilot CLI.mcp.json or copilot mcp add thread-mind -- npx -y thread-mind-mcpAGENTS.md
Codexcodex mcp add thread-mind -- npx -y thread-mind-mcp (~/.codex/config.toml)Sent by the server
Gemini CLI.gemini/settings.json or ~/.gemini/settings.jsonSent by the server
Windsurf (Devin Desktop)mcp_config.jsonAGENTS.md
Claude Desktop (chat)claude_desktop_config.json, with THREADMIND_ROOT set to the projectClaude Project instructions, if needed

Claude Code, VS Code and Copilot CLI share the .mcp.json file at the repository root. See Other AI Clients for each client's configuration.

Workspace location

ThreadMind stores its data in .threadmind/ at the root of your workspace, found in this order:

  1. The THREADMIND_ROOT environment variable, if set
  2. The workspace roots advertised by the MCP client (a root that already contains .threadmind/ wins). Claude Code advertises the directory you started it in, plus those added with --add-dir: start it from the project root
  3. The directory the server was started from

A client that starts servers outside your project without advertising roots (for example a desktop chat app with no project folder) needs THREADMIND_ROOT:

{

"mcpServers": { "thread-mind": { "command": "npx", "args": ["-y", "thread-mind-mcp"], "env": { "THREADMIND_ROOT": "/path/to/your/project" } } } }

Teach your AI client to use ThreadMind

The server sends its usage instructions when the client connects (MCP server instructions): Claude Code, VS Code (GitHub Copilot), Codex and Gemini CLI need no setup file. For agents that don't read them, such as Cursor, Copilot CLI or Windsurf, run threadmind_init to generate an AGENTS.md file.


How It Works

Core Concepts
ConceptDescription
ProjectA workspace containing a thread tree. Has a title, system context, and mode (solo/team).
ThreadA node in the tree representing a discussion topic. Stores a markdown summary, and may be linked to a git branch, done or abandoned.
SummaryWhat was decided in a thread, in sections: Decisions, Constraints, State, Open questions, Next steps.
ContextThe active thread's summary plus its ancestors' decisions and constraints — what the AI loads.
SessionEach client session has its own active thread; new sessions start from the checked-out git branch.
Storage

ThreadMind stores everything in a .threadmind/ directory at your project root:

.threadmind/

config.json # Local state: where sessions start, author ID, session measurements .gitignore # Excludes config.json from git projects/ my-app.json # Project configuration threads/ my-app/ main.md # Root thread (markdown + YAML frontmatter) auth-system.md # Child thread auth-api.md # Grandchild thread

Thread files use YAML frontmatter. Each one records its parent: the tree is rebuilt from the files, with no index to keep in sync or to conflict in git.

---

id: auth-system title: Authentication System parentId: main author: mahmoud-a3f9 createdAt: 2026-04-15T10:00:00.000Z updatedAt: 2026-04-15T12:30:00.000Z branch: feature/auth commit: 3f2a9c1e5b7d4a8f0c6e2b1d9a7f5c3e1b0d8a6f paths: ["src/auth"]


Decisions

  • JWT with refresh tokens, stored in httpOnly cookies
  • Passport.js over custom middleware, for maintainability

State

  • Login and refresh done, logout pending

status, branch, commit, paths and mergedInto only appear when set.

Context Assembly

When you request context, ThreadMind walks up from the active thread to the root. It keeps the whole summary of the active thread, and only the Decisions and Constraints of its ancestors:

## System Context

You are building a Next.js e-commerce application...


Thread: My App

Decisions

  • Next.js 15, PostgreSQL, Stripe

Thread: Authentication System

Decisions

  • JWT with refresh tokens, bcrypt, Passport.js

Thread: Auth API Endpoints (active)

_⚠ 2 commits changed src/api since this summary was written: check it is still accurate._

Decisions

  • POST /auth/login, POST /auth/register, POST /auth/refresh

Next steps

  • Rate limiting on /auth/login

_ThreadMind context: ~160 tokens | depth: 3 threads_

  • Only the direct ancestor chain is included — sibling branches are excluded
  • Summaries written before code changes are flagged, using the commit and paths recorded with them
  • maxTokens leaves out the farthest ancestors first when the context would be too large

Available Tools

Each tool declares a title and MCP annotations (read-only, destructive, idempotent), which clients can use to decide when to ask for confirmation.

Project Management
ToolDescription
project_createCreate a new project with a root "main" thread
project_listList all projects (shows the session's project)
project_switchSwitch the session to a different project (a single project is selected automatically)
project_create
ParameterTypeRequiredDescription
titlestringYesProject title (used to generate ID)
systemContextstringNoSystem prompt or global instructions

| mode | "solo" \| "team" | No | Project mode (default: `"solo"

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

Pregunta a PopNx