Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
CSVBox MCP server for creating, updating, validating and generating CSVBox importer sheets.
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.
CSVBOX_API_KEY, CSVBOX_API_SECRET, OPENAI_API_KEY, ANTHROPIC_API_KEY비밀로 표시된 값은 내 계정의 열쇠예요. 절대 다른 사람과 공유하거나 채팅에 붙여 넣지 마세요.
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": {
"csvbox": {
"command": "npx",
"args": [
"-y",
"@csvbox/mcp-server"
],
"env": {
"CSVBOX_API_KEY": "your-value",
"CSVBOX_API_SECRET": "your-value",
"OPENAI_API_KEY": "your-value",
"ANTHROPIC_API_KEY": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add csvbox --env CSVBOX_API_KEY=your-value --env CSVBOX_API_SECRET=your-value --env OPENAI_API_KEY=your-value --env ANTHROPIC_API_KEY=your-value -- npx -y @csvbox/mcp-server실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"csvbox": {
"command": "npx",
"args": [
"-y",
"@csvbox/mcp-server"
],
"env": {
"CSVBOX_API_KEY": "your-value",
"CSVBOX_API_SECRET": "your-value",
"OPENAI_API_KEY": "your-value",
"ANTHROPIC_API_KEY": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"csvbox": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@csvbox/mcp-server"
],
"env": {
"CSVBOX_API_KEY": "your-value",
"CSVBOX_API_SECRET": "your-value",
"OPENAI_API_KEY": "your-value",
"ANTHROPIC_API_KEY": "your-value"
}
}
}
}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 6일 점검
레지스트리 이름이 GitHub 계정 csvbox-io 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.
입력해야 할 값: CSVBOX_API_KEY, CSVBOX_API_SECRET, OPENAI_API_KEY, ANTHROPIC_API_KEY
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(1.0.1)은 2개월 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, Symantec Cloud DLP AIops
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.
Governed Symantec Cloud DLP — 14 MCP tools, read-only with audit.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
A universal Model Context Protocol (MCP) server for CSVBox. It exposes CSVBox importer-sheet management as MCP tools so you can create, replace, patch, generate, validate, and scaffold importers from any MCP-compatible client — Claude Desktop, Cursor, Windsurf, Roo Code, Cline, VS Code, ChatGPT MCP, and more.
Runs over stdio, so it works the same way in every client.
| Tool | Purpose | API call |
|---|---|---|
create_sheet | Create a CSVBox sheet | POST /1.1/sheet |
update_sheet | Replace an existing sheet | PUT /1.1/sheet/{key} |
patch_sheet | Partially update a sheet | PATCH /1.1/sheet/{key} |
generate_sheet_json | NL prompt → complete sheet JSON (via LLM) | none (calls LLM) |
create_importer_from_prompt | NL prompt → validate → create | POST /1.1/sheet (+ LLM) |
generate_import_code | Integration code (vanilla-js/react/vue/angular) | none |
generate_sheet_functions | NL prompt → virtual columns / validation functions / data transforms (via LLM) | none (calls LLM) |
validate_schema | Local schema validation | none |
CSVBox currently has no GET or LIST endpoints, so there are intentionally no
get_sheet/list_sheettools.
It also exposes two MCP prompts:
| Prompt | Purpose |
|---|---|
create_csvbox_sheet | Make the host client's own LLM build a complete CSVBox sheet (no server-side LLM key needed). |
csvbox_sheet_functions | Make the host client's own LLM author virtual columns, validation functions, and data transforms (no server-side LLM key needed). |
generate_sheet_json and create_importer_from_prompt use an LLM to convert a free-form request into a complete CSVBox sheet — title, sheet_columns, destinations, webhooks, security_settings, and steps. Only actual data fields become columns; destinations, webhooks, domains, regions, file-upload and step settings are placed in their proper configuration sections, never turned into columns. There are three tiers:
ANTHROPIC_API_KEY or OPENAI_API_KEY is set, the server calls the LLM directly. Works in MCP Inspector and headless.create_csvbox_sheet) — when you have no server key, host clients (Cursor, Claude Desktop, Cline) run the generation with their own model, then call validate_schema and create_sheet. Free.generate_sheet_json returns a structured "no LLM provider configured" error pointing to the MCP prompt, and create_importer_from_prompt does not call the CSVBox API. There is no regex fallback.The generator runs in one of two modes, chosen automatically from the prompt:
supplier_id, supplier_name, supplier_gstin, supplier_email, …). An explicit minimum count is honored and every column_name is globally unique.Data types and validations are inferred from the field names and any requested types:
| Requested / implied | Column type | Validators |
|---|---|---|
| Dropdown / status / category with fixed options | list | values: [...] candidate options |
| Percentage / percent | number | min_value: 0, max_value: 100 |
| Positive numeric (quantity, count, stock, cost, age) | number | min_value: 0 |
| ID / code / reference number | text | — |
email | — | |
| Phone / mobile | phone_number | — |
| URL / website | url | — |
| Price / cost / amount / salary | currency | — |
| Date fields | date | format: "YYYY-MM-DD" |
| Boolean / is_* / active | boolean | — |
| GST / GSTIN / tax id | regex | GSTIN pattern |
| PIN code / postal code (India) | regex | ^1-9{5}$ |
Large schemas: the default models (
claude-haiku-4-5,gpt-4o-mini) are cheap but produce noticeably better 100+ column schemas when you override with a stronger model viaLLM_MODEL(e.g.claude-sonnet-4-6). The output cap is raised to fit big sheets; if a request is still too large the response is flagged `TRUNCATED` (a distinct result, not a parse error) and the CSVBox API is not called — reduce the column count / modules or use a model with a larger output budget and retry.
Beyond the six sheet properties, the CSVBox Sheet API accepts three collections whose items carry a js_code string that CSVBox executes during an import:
| Collection | Identified by | Max | js_code must… |
|---|---|---|---|
virtual_columns | column_name | 20 | return the computed cell value |
validation_functions | function_name | 10 | return an array of error strings ([] = valid) |
data_transforms | transform_name | 10 | mutate the csvbox object and return it |
Inside js_code the csvbox object exposes row, column, virtual, user, import, and environment. The two accessors are not interchangeable — a virtual column is per-row and uses csvbox.row. (a scalar), while a "column"-scoped function sees the whole column via csvbox.column. (an array).
Shared optional fields: scope (column | row; not on virtual columns), run_at (before_validation | after_validation; data transforms only), columns / dynamic_columns, active, dependencies, and _delete (PATCH only).
// generate_sheet_functions (requires ANTHROPIC_API_KEY or OPENAI_API_KEY)
{ "prompt": "add a virtual column joining first and last name, and check every email contains an @", "sheet": { "title": "Customers", "sheet_columns": [ ... ] } }
Returns { "virtual_columns": [...], "validation_functions": [...], "source": ..., "validation": {...} }. Collections the request does not imply are omitted, never returned as empty arrays.
This tool does not call the CSVBox API. Read the generated js_code, then apply it yourself with patch_sheet. Pass sheet so the model references real column names and the validator can check those references — CSVBox has no read endpoint, so it must be supplied inline. Without an LLM key, use the csvbox_sheet_functions MCP prompt instead.
update_sheet (PUT) | patch_sheet (PATCH) | |
|---|---|---|
| Collection you send | authoritative — any existing item not named is deleted | merged — unnamed items are left alone |
"virtual_columns": [] | deletes all 20 | no-op |
| Key omitted | untouched | untouched |
_delete: true | not valid | removes that item (all its other fields ignored) |
Use patch_sheet to apply generated functions. Validate first with the matching verb:
// validate_schema
{ "sheet": { "data_transforms": [ ... ] }, "mode": "patch" }
mode is create (default), put, or patch. It only affects the function collections — under put an empty array is a hard error rather than a warning, and _delete is rejected outside patch.
An item may load up to 5 third-party scripts:
{ "url": "https://cdn.jsdelivr.net/npm/dayjs@1.11.10/dayjs.min.js",
"globals": ["dayjs"], "integrity": "sha384-..." }
Only cdn.jsdelivr.net, unpkg.com, and cdnjs.cloudflare.com are allowed; https only, .js/.mjs path, no query string, fragment, userinfo, or port.
Security. This server never executes
js_code— it is an opaque string here. Generated JavaScript is unreviewed model output, so read it before you PATCH it into a live importer. A dependency without anintegritydigest can change under your customers at any time;validate_schemawarns when one is missing.
See docs/sheet-functions-example.json for a full payload.
npm install @csvbox/mcp-server
Or build from source:
git clone <this-repo> csvbox-mcp-server
cd csvbox-mcp-server npm install npm run build
This produces dist/index.js — the entrypoint MCP clients launch.
Copy .env.example to .env and fill in your CSVBox credentials:
CSVBOX_API_KEY=your_api_key
CSVBOX_API_SECRET=your_api_secret
CSVBox credentials are only required for the API-backed tools (create_sheet, update_sheet, patch_sheet, create_importer_from_prompt). validate_schema and generate_import_code work without any credentials.
Auth header note: the client sends
x-csvbox-api-keyandx-csvbox-secret-api-key(matching the CSVBox reference payloads). These are defined as constants insrc/services/csvbox-api.tsif your account uses different header names.
Every request this server sends to the CSVBox API carries two extra headers:
x-csvbox-client: mcp
x-csvbox-client-version:
CSVBox records how each sheet was created; without these, sheets and imports made through MCP are indistinguishable from any other REST caller. The version is read from package.json and is the same one the server advertises to your MCP client, so the two can never disagree.
These are always sent — there is no environment variable or tool input that disables or changes them. They carry no credentials and nothing derived from your tool inputs. Tools that make no API call (generate_sheet_json, generate_sheet_functions, generate_import_code, validate_schema) send no request and therefore no headers.
generate_sheet_json and create_importer_from_prompt need an LLM. Set one of:
ANTHROPIC_API_KEY=sk-ant-...
OPENAI_API_KEY=sk-...
The provider is auto-detected:
| Condition | Provider | Default model |
|---|---|---|
LLM_PROVIDER=anthropic (and its key set) | Anthropic | claude-haiku-4-5 |
LLM_PROVIDER=openai (and its key set) | OpenAI | gpt-4o-mini |
ANTHROPIC_API_KEY set (no LLM_PROVIDER) | Anthropic | claude-haiku-4-5 |
OPENAI_API_KEY set (no LLM_PROVIDER) | OpenAI | gpt-4o-mini |
| neither key set | none — tools return an error pointing to the create_csvbox_sheet MCP prompt | — |
LLM_PROVIDER disambiguates when both keys are present; LLM_MODEL overrides the model for whichever provider is chosen. For large category/module schemas (100+ columns) set LLM_MODEL to a stronger model (e.g. claude-sonnet-4-6) — see Category / module expansion.
MCP Inspector: set the LLM key in the Inspector's environment-variables panel to use the server-LLM path. Inspector has no host LLM of its own, so it can *render* the
create_csvbox_sheetprompt but cannot *execute* it — for the keyless path use a client with a model (Cursor, Claude Desktop, Cline).
# After building:
npm start
node dist/index.js
The server speaks MCP over stdio and logs csvbox-mcp-server running on stdio to stderr (stdout is reserved for the protocol).
For a published installation, use the npm package with npx. Set CSVBOX_API_KEY / CSVBOX_API_SECRET in the env block.
Note: The npm package is
@csvbox/mcp-serverand the executable iscsvbox-mcp-server.
Add the following to your Claude Desktop MCP configuration:
{
"mcpServers": { "csvbox": { "command": "npx", "args": [ "-y
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