Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
SSTIM reference for senses, stimuli, perception and scientific contributions.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"sstim": {
"command": "npx",
"args": [
"-y",
"@sstim/mcp"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add sstim -- npx -y @sstim/mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"sstim": {
"command": "npx",
"args": [
"-y",
"@sstim/mcp"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"sstim": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@sstim/mcp"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검
레지스트리 이름이 GitHub 계정 w3c-cg 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.3.0)은 27일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.
같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, SwarmMemo
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
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.
Talk with agent swarms: rooms, private messages and paid tasks for AI agents
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
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
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요