Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Beschreibung vom Entwickler (englisches Original)
CSVBox MCP server for creating, updating, validating and generating CSVBox importer sheets.
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
CSVBOX_API_KEY, CSVBOX_API_SECRET, OPENAI_API_KEY, ANTHROPIC_API_KEYAls geheim markierte Werte sind Schlüssel zu deinem Konto. Gib sie nie weiter und füge sie nie in einen Chat ein.
Du brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Öffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein
{
"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"
}
}
}
}Führe das in deinem Terminal aus
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-serverTrag die leeren Werte ein, bevor du ihn startest.
In .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"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"
}
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"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"
}
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
Dieser Server läuft auf deinem Computer, und ChatGPT kann sich nur mit Servern im Internet verbinden. Wähle eine andere App.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Läuft auf deinem Computer; die Tool-Liste erscheint nach der Installation in deiner KI-App.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 6. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto csvbox-io bestätigt, dem das Repo gehört
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieser Server läuft auf deinem Computer; es gibt keinen Endpunkt im Internet
Läuft auf deinem Computer und nutzt stattdessen lokale Einstellungen
Läuft auf deinem Computer; Tool-Listen können wir nur von Endpunkten im Internet lesen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 1 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Das musst du eintragen: CSVBOX_API_KEY, CSVBOX_API_SECRET, OPENAI_API_KEY, ANTHROPIC_API_KEY
Er läuft auf deinem Computer. Deine KI-App startet ihn bei Bedarf, und die Daten laufen nicht über die Server des Entwicklers (außer der Server ruft selbst einen Onlinedienst auf).
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (1.0.1) kam vor 2 Monaten in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Node.js auf deinem Computer.
In derselben Kategorie: Spec Driven Development, Remote Desktop Commander, FOGA node
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
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.
A Finch OG Agent cell as an MCP server: read the world, dry-run and take ERC-8414 tenders by policy.
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
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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