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Schrinner Sanitär Heizung Klimatechnik

MCP HTTP

satware® AI Labelwin

Run JavaScript

Run general-purpose JavaScript in Toolbox. Recommended for document generation, image processing, archives, and file creation. Choose the runtime whose listed libraries best support the task. Prefer available libraries over reimplementing their functionality. Runtime recommendations are not restrictions. Always try to reuse an existing session_id for related work. If the response says sessions are unavailable, each call starts fresh; include all required inputs in every call. Save reusable values in SESSION_STATE; ordinary const and let variables are local to each call. Responses list saved variables and loaded libraries. Select libraries with the libraries parameter: papaparse (Papa) for CSV/TSV, xlsx (XLSX) for spreadsheets, lodash (_) for data transformations, jszip (JSZip) for ZIP archives, pdf-lib (PDFLib) for creating/editing PDFs, docx (docx) for Word documents, pptxgenjs (PptxGenJS) for creating presentations, jimp (Jimp) for raster images, and ffmpeg for audio/video processing. Selected libraries remain loaded in the session. Omit libraries or pass [] when no additional libraries are needed. Use the selected globals directly; no imports or package installation are needed. This is a browser sandbox: use in-memory bytes and export through output.file, not filesystem or download helpers. Keep Papa worker and download options disabled and check parse errors. pdf-lib cannot extract text or render PDFs; standard PDF fonts have limited character support. pptxgenjs cannot import existing presentations. Jimp uses the v1 API: fromBuffer(bytes), resize({ w, h }), crop({ x, y, w, h }), and new Jimp({ width, height, color }). Use getBuffer for image export; avoid filesystem paths, URL loading, and font downloads. Use browser Canvas for text drawing and SVG/WebP decoding. Selecting ffmpeg provides an already-loaded ffmpeg instance; do not call load() or terminate(). Write inputs with await ffmpeg.writeFile("input.mp4", new Uint8Array(await files[0].arrayBuffer())). Run await ffmpeg.exec(["-i", "input.mp4", "output.mp3"], 60000); check the returned exit code is 0, then export await ffmpeg.readFile("output.mp3") through output.file. For ffmpeg.ffprobe, write JSON metadata to a file with -o and validate that file; this build may return -1 even on success. FFmpeg and its virtual files persist in the session; delete unneeded files with await ffmpeg.deleteFile(name). Prefer short clips and small files; transcoding is CPU- and memory-intensive. All FFmpeg assets are bundled, so local-file processing works without network access. Selected attachments are available in the files array as File objects, in the requested order, each with an additional id property. Read UTF-8 text with await files[0].text(), binary bytes with await files[0].arrayBuffer(), or raster images with await createImageBitmap(files[0]). For SVG, use new Image() with an image/svg+xml Blob URL created inside the sandbox, await image.decode(), and draw the image onto a canvas; do not pass an SVG Blob to createImageBitmap. Include the SVG namespace and explicit width/height in SVG markup. Revoke the Blob URL after drawing. Export PNG with await canvas.convertToBlob({ type: "image/png" }) on an OffscreenCanvas. When network access is disabled, only blob: and data: image sources are allowed. Return a value to produce text output; objects and arrays are serialized as JSON. Create chat attachments with output.file({ filename, data, mimeType }); data accepts a string, Blob, File, ArrayBuffer, or typed array. Use a filename without paths. mimeType is optional and defaults to text/plain for strings, the Blob type when available, or application/octet-stream. Call output.file multiple times to create multiple files; you can also return text in the same run. Network access is disabled by default and controlled by the Toolbox setting.

toolbox_run_js

Run Python

Run general-purpose Python in Toolbox. Recommended for data processing and analytics, including dataset cleaning, aggregation, statistics, and numerical calculations. Choose the runtime whose listed libraries best support the task. Prefer available libraries over reimplementing their functionality. Runtime recommendations are not restrictions. New sessions provide the Python standard library. Import its modules normally. Load third-party dependencies through the required packages parameter before code runs. Available packages: numpy for numerical arrays, pandas for tabular data analysis, matplotlib and seaborn for static charts, plotly and bokeh for interactive HTML charts, pillow for images, openpyxl for Excel workbooks, pypdf2 for reading and editing PDFs, python-docx for Word documents, requests for HTTP requests, beautifulsoup4 for HTML parsing (from bs4 import BeautifulSoup), jinja2 for text/HTML templates, and jsonschema for JSON validation. Dependencies load automatically, including NumPy, pandas, Matplotlib, and Pillow where required. Write packages before code. For import pandas as pd, include "pandas" unless the session response already lists it as loaded. Use packages: [] for standard-library-only code or when all required packages are already loaded in the session. Then import the selected packages in code; loading a package does not create an import alias. If an available package raises ModuleNotFoundError, retry in the same session with that package included in packages. Other third-party packages and pip installation are unavailable. For Matplotlib or seaborn charts, call matplotlib.use("Agg") before importing matplotlib.pyplot as plt or seaborn, and save figures to io.BytesIO. Pass the buffer's getvalue() to output.file with a filename and MIME type; close figures with plt.close(fig). For Plotly, export fig.to_html(include_plotlyjs=True, full_html=True). For Bokeh, use bokeh.embed.file_html with bokeh.resources.INLINE. Export that HTML through output.file with MIME type text/html; avoid show() and CDN resources. Plotly static image export is unavailable. For images, select pillow and import from PIL, for example from PIL import Image. Save images to io.BytesIO with an explicit format, then export its getvalue() through output.file. For pypdf2, import PdfReader and PdfWriter from PyPDF2. For python-docx, import Document from docx. Save Excel, PDF, and Word documents to io.BytesIO and export its getvalue() through output.file. For HTTP, select requests and import requests. Network access must be enabled; browser CORS rules apply. Use a timeout and call response.raise_for_status() before reading the response. For HTML, use BeautifulSoup(markup, "html.parser"). Always try to reuse an existing session_id for related work. If the response says sessions are unavailable, each call starts fresh; include all required inputs in every call. Variables, imports, loaded packages, and virtual files persist in that session. Responses list saved variables and loaded packages. Attachments selected for the current call appear in the files list in the requested order as dictionaries with id, name, type, and path. Their bytes are available in the virtual filesystem at files[0]["path"]. Read text with pathlib.Path(files[0]["path"]).read_text(), bytes with .read_bytes(), or CSV with pd.read_csv(files[0]["path"]). Use print() or a final expression for text output; values use their Python string representation. Create chat attachments with output.file(filename, data, mime_type=None). Data must be a string, bytes, bytearray, or memoryview; filenames must not contain paths. Text defaults to text/plain and bytes to application/octet-stream. For example, output.file("summary.csv", df.to_csv(index=False), "text/csv"). For a file written by a library, read its bytes and pass them to output.file. Call output.file multiple times to create multiple files. Only files passed to output.file become chat attachments. Top-level await is supported, but top-level return is not. Network access is disabled by default and controlled by the Toolbox setting.

toolbox_run_python

Toolbox

render_mermaid_diagram

satware® AI Mermaid

get_web_page_content_scraped_by_firecrawl

Retrieves the text content of a web page in markdown format by scraping it using the Firecrawl API

satware® AI Firecrawl

satware_ai_todo

Todo management with Cortex persistence. Maps to MCP tools: search_nodes, add_observations, open_nodes, delete_observations, create_entities.

satware® AI ToDo

gemini_image_editor

Generate or edit images using Google Gemini 3 Pro Image (Preview) with professional prompt enhancement, quality presets, and industry-specific optimization. Supports both creation from text and editing of existing images.

satware® Image Generator

deep_research_via_perplexity_pro

Perform deep research on any topic using Perplexity's Sonar Reasoning models. Returns comprehensive, well-sourced research with citations. Use this for: complex questions requiring multiple sources, fact-checking, market research, technical deep-dives, academic research, current events analysis. The tool searches the web in real-time and synthesizes findings with reasoning chains.

satware® AI Deep Research Pro

search_via_perplexity_pro

Search the web in real-time using Perplexity's Sonar models with intelligent search focus optimization. Returns current, sourced information with citations. Use for: quick factual questions, current events, product comparisons, how-to guides, price checks, fact verification, and any question requiring up-to-date web information. Supports 6 search focus modes for optimized results. Faster than deep research — ideal for straightforward queries needing real-time data.

satware® AI Search Pro

execute_javascript

Execute a JavaScript code snippet that evaluates to a readable value or a Promise. Use this function to evaluate a JavaScript expression, send a fetch request, or use other JavaScript features or Browser APIs. The JavaScript will be executed on the user's local browser in a secure sandboxed context. Examples: calculate values, fetch data from public APIs, manipulate text, generate formatted output.

satware® AI JavaScript Tool

Default

satware® AI Cortex

New function

satware® AI Document Query (local)

IMAP E-Mail

satware® AI IMAP E-Mail

Account identifiers, e.g. "private" for one account or "private,company" for two. Must match the account prefixes used below.

IMAP_ACCOUNTS

"password" (IMAP/SMTP-Passwort) oder "oauth2" (Microsoft 365 Login im Browser - kein Passwort nötig)

IMAP_PRIVATE_AUTH_TYPE

Ihre E-Mail-Adresse (bei oauth2: die Microsoft-365-Adresse, mit der Sie sich anmelden)

IMAP_PRIVATE_USER

Nur bei Authentifizierung "password": E-Mail-Passwort oder App-Passwort. Bei oauth2 leer lassen.

IMAP_PRIVATE_PASSWORD

Nur bei password: IMAP-Server (z.B. imap.ionos.de). Bei oauth2 LEER lassen (outlook.office365.com wird automatisch verwendet)

IMAP_PRIVATE_HOST

Nur bei password: 993 (SSL/TLS) oder 143. Bei oauth2 leer lassen

IMAP_PRIVATE_PORT

Nur bei password: true (993) oder false (143). Bei oauth2 leer lassen

IMAP_PRIVATE_TLS

Nur bei password: SMTP-Server (z.B. smtp.ionos.de). Bei oauth2 leer lassen

IMAP_PRIVATE_SMTP_HOST

Nur bei password: 465 (SSL) oder 587 (STARTTLS). Bei oauth2 leer lassen

IMAP_PRIVATE_SMTP_PORT

Nur bei password: true (465) oder false (587). Bei oauth2 leer lassen

IMAP_PRIVATE_SMTP_SECURE

Nur bei password: true (587) oder false (465). Bei oauth2 leer lassen

IMAP_PRIVATE_SMTP_TLS

"password" oder "oauth2" (Microsoft 365). Leer = zweites Konto ungenutzt

IMAP_COMPANY_AUTH_TYPE

IMAP_COMPANY_USER

Nur bei password-Konto: Passwort für zweites Konto

IMAP_COMPANY_PASSWORD

Nur bei password-Konto. Bei oauth2 leer lassen

IMAP_COMPANY_HOST

IMAP_COMPANY_PORT

IMAP_COMPANY_TLS

IMAP_COMPANY_SMTP_HOST

IMAP_COMPANY_SMTP_PORT

Nur bei password-Konto: true (465) oder false (587)

IMAP_COMPANY_SMTP_SECURE

Nur bei password-Konto: true (587) oder false (465)

IMAP_COMPANY_SMTP_TLS

sequential_thinking

A detailed tool for dynamic and reflective problem-solving through thoughts.
This tool helps analyze problems through a flexible thinking process that can adapt and evolve.
Each thought can build on, question, or revise previous insights as understanding deepens.

When to use this tool:
- Breaking down complex problems into steps
- Planning and design with room for revision
- Analysis that might need course correction
- Problems where the full scope might not be clear initially
- Problems that require a multi-step solution
- Tasks that need to maintain context over multiple steps
- Situations where irrelevant information needs to be filtered out

Key features:
- You can adjust total_thoughts up or down as you progress
- You can question or revise previous thoughts
- You can add more thoughts even after reaching what seemed like the end
- You can express uncertainty and explore alternative approaches
- Not every thought needs to build linearly - you can branch or backtrack
- Generates a solution hypothesis
- Verifies the hypothesis based on the Chain of Thought steps
- Repeats the process until satisfied
- Provides a correct answer

Parameters explained:
- thought: Your current thinking step, which can include:
  * Regular analytical steps
  * Revisions of previous thoughts
  * Questions about previous decisions
  * Realizations about needing more analysis
  * Changes in approach
  * Hypothesis generation
  * Hypothesis verification
- nextThoughtNeeded: True if you need more thinking, even if at what seemed like the end
- thoughtNumber: Current number in sequence (can go beyond initial total if needed)
- totalThoughts: Current estimate of thoughts needed (can be adjusted up/down)
- isRevision: A boolean indicating if this thought revises previous thinking
- revisesThought: If is_revision is true, which thought number is being reconsidered
- branchFromThought: If branching, which thought number is the branching point
- branchId: Identifier for the current branch (if any)
- needsMoreThoughts: If reaching end but realizing more thoughts needed

You should:
1. Start with an initial estimate of needed thoughts, but be ready to adjust
2. Feel free to question or revise previous thoughts
3. Don't hesitate to add more thoughts if needed, even at the "end"
4. Express uncertainty when present
5. Mark thoughts that revise previous thinking or branch into new paths
6. Ignore information that is irrelevant to the current step
7. Generate a solution hypothesis when appropriate
8. Verify the hypothesis based on the Chain of Thought steps
9. Repeat the process until satisfied with the solution
10. Provide a single, ideally correct answer as the final output
11. Only set nextThoughtNeeded to false when truly done and a satisfactory answer is reached

satware® AI think

get_current_time

Get the current date and time for a given IANA timezone.

Parameters:
- timezone: IANA timezone name (e.g. "Europe/Berlin", "America/New_York", "Asia/Tokyo"). Defaults to "UTC" if not provided.

Returns the current date and time in ISO 8601 format with timezone offset, along with a boolean indicating whether daylight saving time is currently active.

convert_time

Convert a time from one IANA timezone to another.

Parameters:
- source_timezone: IANA timezone name of the source (e.g. "Europe/Berlin")
- time: Time in 24-hour HH:MM format (e.g. "14:30")
- target_timezone: IANA timezone name of the target (e.g. "America/New_York")

Returns the converted time, the time difference between zones, and metadata about the conversion. Handles daylight saving time automatically.

satware® AI time

Advanced Legal AGI Specialist for DACH (DE, AT, CH) and EU Law. 
Optimized for Gemini 3 Flash with Zero-Trust citation hardening and HS-N-A reasoning.

Justus Alesi

Deutsches Handwerk-AGI mit Gewerkeplanung und -ausführung.

Gunta Alesi

Fortgeschrittener AGI-Spezialist für multiskalige Maschinenbauentwicklung.
Optimiert für Gemini 3 Pro mit tiefgehender Engineering-Simulation und Zero-Trust-Verifizierung.

Bea Alesi

Fortgeschrittener AGI-Spezialist für Vertriebs- und Einkaufsintelligenz.
Optimiert für Gemini 3 Flash mit Dual-Mode-Beratung und Zero-Trust-Verifizierung.

Bastian Alesi

Premier-KI-Spezialist für deutsche Kommunalverwaltung, Verwaltungsrecht und kommunale Digitalisierung. Spezialisiert auf Gemeindeordnungen, Haushaltsrecht, E-Government und interkommunale Zusammenarbeit mit Zero-Trust-Verifizierung.

Version 10.3.1

Marco Alesi

Fortgeschrittene Coaching- und Organisationsentwicklungs-AGI für agile Transformation, Führungskräfteentwicklung und Change Management. Spezialisiert auf evidenzbasierte Teamdynamik (Tuckman, Belbin, Lencioni) und Hybrid Human-AI Coaching.

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