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

SSTIM MCP: Senses, Stimuli and Perception

de w3c-cgversión 0.3.0i★ –iSe ejecuta en tu computadora
Nombre en el registroio.github.w3c-cg/sstim

Instalar

Resumen

Descripción del creador (original en inglés)

SSTIM reference for senses, stimuli, perception and scientific contributions.

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: Otros

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": {
    "sstim": {
      "command": "npx",
      "args": [
        "-y",
        "@sstim/mcp"
      ]
    }
  }
}

Ejecuta esto en tu terminal

claude mcp add sstim -- npx -y @sstim/mcp

Abrir en Cursor

O copia la configuración tú

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

{
  "mcpServers": {
    "sstim": {
      "command": "npx",
      "args": [
        "-y",
        "@sstim/mcp"
      ]
    }
  }
}

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": {
    "sstim": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@sstim/mcp"
      ]
    }
  }
}

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 w3c-cg, 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 Otrosi

  • Más estrellas que el 0% de los otros 32727 servidores de esta categoría
  • Publicado en el registro más recientemente que el 59% de los otros 32727 servidores de esta categoría
  • Revisiones básicas iguales o mejores que el 100% de los otros 32727 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 SSTIM MCP: Senses, Stimuli and Perception?

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 (0.3.0) llegó al registro hace 27 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: Spec Driven Development, Remote Desktop Commander, Foliosio

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

Spec Driven Development

de formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Se ejecuta en tu computadora★ 440MITActualizado hace 14 meses
Instalar

Remote Desktop Commander

de desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Se ejecuta en la nube★ 211Actualizado anteayer
Instalar

Foliosio

de foliosio.com

Read your support inbox, tag conversations and save draft replies from your AI agent. Never sends.

Se ejecuta en la nubeActualizado hoy
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.

SSTIM MCP: senses, stimuli, perception and research

Status: version 0.3.0 adds an explicitly authorized, GitHub-backed contribution workflow to the read-only knowledge tools. It supports the current MCP `2026-07-28` stateless protocol and legacy initialization-based clients (2025-11-25, 2025-06-18, 2024-11-05).

The adapter retrieves frozen SSTIM release data from the Concept Reference API. It is not an ontology write interface or hosted remote MCP endpoint. The four knowledge tools remain available without credentials. Four additional proposal tools can draft suggestions, browse GitHub review issues, and, only when an authorized operator has configured an Issues-write token and approved the exact public content, submit a GitHub issue for review. No tool changes canonical RDF or accepts scientific assertions as established.

Distribution and authorship

Primary author and responsible project: the SSTIM W3C Community Group. The canonical source is w3c-cg/sstim.

Acknowledgement: BioSynCare, for its contributions to and support of SSTIM's wider ecosystem. BioSynCare is not the authority behind the open SSTIM vocabulary.

Community Group work is not a W3C Recommendation or a W3C-endorsed product.

Install from npm (published)

`@sstim/mcp@0.3.0` is published on npm. It is listed as io.github.w3c-cg/sstim in the official MCP Registry, registered by the canonical W3C Community Group repository via OIDC.

With Node.js 20+ and a compatible stdio MCP client, set command npx and arguments ["--yes", "@sstim/mcp@0.3.0"]. The server needs no checkout or API token. For a smoke test, run it outside packages/sstim-mcp/: npm may resolve the local package there instead of the published executable.

cd /tmp

npx --yes @sstim/mcp@0.3.0

The command waits for protocol messages; silence is expected until the MCP client sends them. Pin the exact npm version for reproducibility. Run node packages/sstim-mcp/server.mjs from a checkout only for development.

Distribution and directory-listing status. Each npm tarball is immutable; later repository documentation edits reach npm's package README only with a future release.

Prerequisites

  • Node.js 20+ on the machine where the AI client runs.
  • SSTIM checkout only if developing the server. It is not needed for the published npm package.
  • Network access to the read-only reference API (default below).
  • An AI client with support for local stdio MCP servers.

For each local-checkout example below, replace /absolute/path/to/sstim/packages/sstim-mcp/server.mjs with the actual absolute path to this file. On Windows, use a path like C:/Users/you/sstim/packages/sstim-mcp/server.mjs and ensure node is in the launching application's PATH.

The server is launched by the AI client. Running it manually will appear idle because it waits for JSON-RPC messages on stdin. It must not emit human-readable logs to stdout.

What can an AI assistant do with SSTIM MCP?

For a hands-on tutorial with eight concrete AI prompts, prerequisites, tool usage and limits, see the SSTIM MCP manual chapter and the MCP examples cookbook.

Here are examples for users of Codex, Claude Code, GitHub Copilot, Cursor, Gemini and compatible Neovim plugins. Each task combines an AI assistant's ordinary reasoning and project access with *read-only released SSTIM data*:

TaskWhat to ask forWhat SSTIM MCP contributes
Code/data schema alignment"Inspect my session JSON and map frequency, technique, channels and session fields to SSTIM"Canonical term IRIs and module/release provenance; not an automatically validated mapping
Research terminology review"Compare meanings of binaural and isochronous techniques without conflating stimulation with EEG bands"Definitions and related concept links
Version migration"Retrieve this exact IRI in 0.18.0 and 0.19.0; report asserted differences"Version-pinned details, deprecation and mappings
Cross-ontology interoperability"List external alignments for this term, including the precise SKOS relation"Mapped external IRIs and relation strengths
Codebase audit"Find fields in my code matching published SSTIM properties; flag unknown ones"Stable identifiers; human review of inferred matches
Write scientific documentation"Explain these terms with source references; distinguish evidence from labels"Released definitions, source module and hashes
Correct the standard"Find this term or gap and prepare a link for me to submit a correction"A user-reviewed Contribution Bridge link, not a submission
Repeatable research"Use only release 0.19.0 for all SSTIM terms cited in this protocol"Release-qualified records for reproducibility

These MCP tools do not perform automatic SHACL validation, execute a stimulation protocol, diagnose anything, or modify the ontology. Use Python sstim or JavaScript @sstim/core for data validation, and use the Workbench to explore or author reference patches.

Contribution workflow (since 0.3.0)

The new sstim_draft_contribution tool builds a structured, unreviewed issue proposal, with an explicit epistemic status. sstim_list_contributions and sstim_get_contribution retrieve public issue records and their actual state. sstim_submit_contribution creates a public GitHub Issue, but only if SSTIM_ENABLE_PUBLIC_SUBMISSIONS=1 is explicitly set by the operator and SSTIM_GITHUB_TOKEN is configured with appropriate GitHub Issues write access and approvedForPublicSubmission: true is supplied after the operator reviews the exact proposal. A local cooldown and fingerprint scan reduce accidental duplicates. This is not an unattended permission to submit private material.

Never put the token in a plugin manifest or conversation. Use the host's credential or environment management; no GitHub credential is bundled. Contributions are not automatically accepted; a closed GitHub issue is not necessarily an accepted scientific assertion.

Supported proposal kinds: correction, missing knowledge, scientific evidence, interoperability, research need and other. Relevant subjects may include sensory transduction, perception, sound or music-based practices, neuroscience, creative work and technological applications. SSTIM is not a comprehensive encyclopedia of these areas; gaps are valid reports. Sources are contributor-supplied and must be independently assessed.

Tools

ToolResult
sstim_list_releasesSupported frozen releases and latest available version
sstim_search_conceptsSearch terms by IRI/CURIE, labels, alternatives or definition
sstim_get_conceptRetrieve exact term, definitions, declared relationships, source provenance
sstim_prepare_feedbackUser-facing Contribution Bridge link; nothing is submitted
sstim_draft_contributionStructured, unreviewed proposal text; nothing is submitted
sstim_list_contributionsRecent public contribution issues and their GitHub state
sstim_get_contributionOne public contribution issue, its unverified text and state
sstim_submit_contributionPublic GitHub issue for review; refused unless the operator enabled submissions

Every tool except sstim_submit_contribution is read-only, and that one is disabled unless the operator opts in as described above. The feedback tool generates only a link with the selected public concept ID and label, without copying conversation text. The user reviews any issue and decides whether to publish it. No tool writes to the SSTIM ontology.

Configure your software

Choose one configuration appropriate to the AI client in use. They are not interchangeable. Sample files are in examples/.

1. VS Code: GitHub Copilot Chat (Agent mode)

Create or update .vscode/mcp.json in your project using the examples/vscode.mcp.json contents:

{

"servers": { "sstim": { "type": "stdio", "command": "npx", "args": ["--yes", "@sstim/mcp@0.3.0"] } } }

In VS Code run MCP: List Servers (or use MCP commands in the Command Palette), start sstim, then open GitHub Copilot Chat → Agent mode and enable the SSTIM tools in the tool picker.

This is VS Code's servers format, not the mcpServers format used by Cursor and Gemini. VS Code can also use a portable project-root .mcp.json, which has different keys; see its official MCP setup.

2. VS Code: OpenAI Codex extension / Codex CLI

Codex's IDE extension and CLI share ~/.codex/config.toml (or supported project-scoped .codex/config.toml). Append the contents of examples/codex.config.toml:

[mcp_servers.sstim]

command = "npx" args = ["--yes", "@sstim/mcp@0.3.0"]

Or configure the server via the Codex IDE extension: Settings → MCP servers → Add server → STDIO. Restart the extension if prompted. In the CLI, codex mcp list can show the configured servers. This configuration is separate from .vscode/mcp.json for Copilot Chat.

Reference: Codex MCP configuration.

3. VS Code: Claude Code extension / Claude Code CLI

Run in a terminal (using the same Claude Code installation as your extension):

claude mcp add --transport stdio --scope user sstim -- npx --yes @sstim/mcp@0.3.0

claude mcp get sstim

Then open Claude Code (CLI or VS Code extension) and check the /mcp menu to confirm the server is connected and tools are visible. The -- separator is important: arguments after it belong to npx, not to Claude's CLI. For a shared project installation instead of a personal user installation, consult the project's .mcp.json and approval rules.

Reference: Claude Code MCP setup.

4. Gemini CLI (including inside VS Code's terminal)

Add to your user ~/.gemini/settings.json or project .gemini/settings.json:

{

"mcpServers": { "sstim": { "command": "npx", "args": ["--yes", "@sstim/mcp@0.3.0"] } } }

See examples/gemini.settings.json. Alternatively use:

gemini mcp add -s user sstim npx --yes @sstim/mcp@0.3.0

Open Gemini CLI and use /mcp to inspect connectivity and exposed tools.

Gemini CLI is not the same product as the Gemini Code Assist VS Code extension. This configuration applies to the CLI; support for an extension must be verified against that extension's own settings. Reference: Gemini CLI MCP.

5. Cursor

Create a project .cursor/mcp.json, or ~/.cursor/mcp.json globally, with the contents of examples/cursor.mcp.json:

{

"mcpServers": { "sstim": { "command": "npx", "args": ["--yes", "@sstim/mcp@0.3.0"] } } }

Open Cursor Settings → Tools & MCP and verify the server is connected. Ask Cursor Agent to use sstim_search_concepts.

Reference: Cursor MCP documentation.

6. Neovim with CodeCompanion.nvim

Neovim does not supply an AI/MCP client merely by being installed. If you use CodeCompanion.nvim, add

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

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