Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Descripción del creador (original en inglés)
SSTIM reference for senses, stimuli, perception and scientific contributions.
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
Necesitas
¿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/mcpPégalo 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.
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.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub w3c-cg, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
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.
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
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).
El repo de GitHub cambió por última vez –, y la última versión (0.3.0) llegó al registro hace 27 días.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js en tu computadora.
En la misma categoría: Spec Driven Development, Remote Desktop Commander, Foliosio
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
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Read your support inbox, tag conversations and save draft replies from your AI agent. Never sends.
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.
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.
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.
`@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.
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.
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*:
| Task | What to ask for | What 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.
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.
| Tool | Result |
|---|---|
sstim_list_releases | Supported frozen releases and latest available version |
sstim_search_concepts | Search terms by IRI/CURIE, labels, alternatives or definition |
sstim_get_concept | Retrieve exact term, definitions, declared relationships, source provenance |
sstim_prepare_feedback | User-facing Contribution Bridge link; nothing is submitted |
sstim_draft_contribution | Structured, unreviewed proposal text; nothing is submitted |
sstim_list_contributions | Recent public contribution issues and their GitHub state |
sstim_get_contribution | One public contribution issue, its unverified text and state |
sstim_submit_contribution | Public 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.
Choose one configuration appropriate to the AI client in use. They are not interchangeable. Sample files are in examples/.
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.
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.
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.
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.
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.
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