Convert JSON to an Excel .xlsx file using a Claix json-excel schema. Provide json_data inline or file_base64 with a .json file. Returns base64-encoded xlsx on success.
Connector
501,706 tools. Updated 2026-09-01 05:22
"A tool for using Microsoft Excel or information about Excel" matching MCP tools:
- Extract structured JSON from an Excel (.xlsx) or CSV file using a Claix excel-json schema. Processes the first sheet only. Returns typed JSON matching the schema. Use when the user attaches a spreadsheet or CSV.Connector
- A blank Excel workbook the organiser fills in and hands back: Name, Level, Gender, Comments, one player per row, with a sheet explaining each column. Offer it when the organiser has no list ready, asks how to send their players, or would rather work in a spreadsheet than paste names into chat. Needs no key. The file comes back both as a download link and as an attachable file. Reading a filled-in sheet needs no tool: parse it yourself and send the rows to add_players.Connector
- Fetch and convert a Microsoft Learn documentation webpage to markdown format. This tool retrieves the latest complete content of Microsoft documentation webpages including Azure, .NET, Microsoft 365, and other Microsoft technologies. ## When to Use This Tool - When search results provide incomplete information or truncated content - When you need complete step-by-step procedures or tutorials - When you need troubleshooting sections, prerequisites, or detailed explanations - When search results reference a specific page that seems highly relevant - For comprehensive guides that require full context ## Usage Pattern Use this tool AFTER microsoft_docs_search when you identify specific high-value pages that need complete content. The search tool gives you an overview; this tool gives you the complete picture. ## URL Requirements - The URL must be a valid HTML documentation webpage from the microsoft.com domain - Binary files (PDF, DOCX, images, etc.) are not supported ## Output Format markdown with headings, code blocks, tables, and links preserved.Connector
- Returns instructions for migrating from an existing auth provider to PropelAuth in a fullstack Nextjs App Router or Nextjs Pages Router application. If the user is using Next.js as just a frontend (e.g. client-side rendered with or without server routes), use the migrate_to_propelauth_frontend tool. Guidance includes installation and configuration, retrieving user or org information, logging users out, redirecting users to login, and more. Make sure to use the 'Installation' guidance first. It is important to call every guidance to ensure a successful integration. Do not update a component/hook/etc from the auth provider until you receive guidance about that component/hook/etcConnector
- Paid tier only. Calling this without an authenticated CivilQuants account returns TIER_INSUFFICIENT — sign up at https://civilquants.com/pricing or use the free-tier alternative compute_attenuation_tank. Vegetated, geotextile-reinforced or rip-rap-lined linear drainage swale per CIRIA C753. Trapezoidal prismatic channel with three lining strategies covering the UK design palette from low-velocity amenity grass channels (1V:3H, 1-3% gradient) to high-velocity rip-rap-lined stretches. Optional check-dams (stone or concrete) for steeper sections. Renders cleanly across all four standards using existing earthworks / geosynthetics / concrete handlers — no PC items, all contractor-full supply route. Example params: bed_width=0.5 m (0.2–3), left_side_slope_h_per_v=3 (1.5–6), right_side_slope_h_per_v=3 (1.5–6). Example call: {"params": {"bed_width": 0.5, "left_side_slope_h_per_v": 3, "right_side_slope_h_per_v": 3}, "standard": "MMHW"}. Omitted parameters use sensible engineering defaults. Pass deliverables=["xlsx","dxf","pdf"] (any subset) to also receive one-shot download URLs in the same call: Excel BoQ (both tiers, watermarked free) plus the dimensioned DXF (CAD) and PDF drawing sheets (paid tier).Connector
Matching MCP Servers
- AlicenseAqualityCmaintenanceEnables AI assistants to read and write local Excel and CSV files, supporting editing, styling, and image insertion.1570MIT
- FlicenseBqualityBmaintenanceEnables AI clients to read, write, and manage Excel workbooks (.xlsx/.xlsm) directly via openpyxl, with comprehensive tools for data, formatting, formulas, charts, and more.74
Matching MCP Connectors
Excel analytics: inspect, query (JSON rows), charts, and JSON-to-xlsx workbook writing.
Invoice and receipt extractor: reads PDF and image invoices/receipts with AI, pulling date…
- Describe what you want done to a file in plain language — e.g. "translate this contract to German", "pull every table out of this PDF into Excel", "shrink this video to under 25MB", "convert this to PDF". The instruction is routed to the right job automatically; if the request is not supported yet you get an honest explanation of what is. Provide EITHER source_url OR base64_content, plus a filename with extension.Connector
- Writes text to a local file — create, overwrite, or append. For .txt/.md/.csv/.json/.log and any plain-text or code file. (For Word use word_create, Excel excel_create, PowerPoint ppt_create.) The path must be inside an allowed folder — the same allowlist as file_read (home directory by default; extend via Advanced Settings → Allowed folders). Overwriting an existing file requires confirm=true (the first call returns a preview instead); append=true adds to the end and never needs confirm. Missing parent folders are created.Connector
- Order a formatted, downloadable financial report (Excel or PDF) for a Norwegian company — the same multi-source-fused figures, layout and source note as the report a customer would download in the Firmaradar portal, ready to file or forward. Returns a short-lived download link + metadata (years covered, source, currency), NOT the file itself and NOT base64 data — fetch the download_url separately, no further auth required, within expires_in seconds. Use `get_company_financials` instead when you need the raw figures to reason about, not a document to hand off. Requires the Excel-export or PDF-export add-on (matching the requested format) on the caller's account. Charges 1 credit per financial year included in the report.Connector
- Reduces the size of JSON objects by identifying empty data and removing those entries. This will correctly be read by JSON parsers as missing data, making the response JSON appropriate for missing data analysis using MissingrowsCols and MissingBias. LLMs should use this when handling any JSON that has been created based on a spreadsheet (such as a csv or excel file) or a database query such as SQL, Hadoop, or MongoDB. Example Input: {"payload": [{"Category":"","Price":4436,"Rating":4.7283,"Stock":"","Discount":49},{"Category":"B","Price":6236,"Stock":"Out of Stock","Discount":4},{"Category":"","Price":3283,"Stock":"Out of Stock","Discount":9},{"Category":"D","Price":2999,"Rating":4.426,"Stock":"","Discount":40},{"Category":"","Rating":2.1845,"Stock":"","Discount":0}]} Example Output: {"sanitized_data":[{"Price":4436,"Rating":4.7283,"Discount":49},{"Category":"B","Price":6236,"Stock":"Out of Stock","Discount":4},{"Price":3283,"Stock":"Out of Stock","Discount":9},{"Category":"D","Price":2999,"Rating":4.426,"Discount":40},{"Rating":2.1845,"Discount":0}]}Connector
- Gera um relatório do CIGAM (operação LENTA, ~2 min, produz um arquivo Excel). Espera inline até `aguardar_segundos`; se não ficar pronto, retorna um `job_id` (busque depois com cigam_job, sem ficar repetindo). Retorna `arquivo_url` (link temporário do Excel). Ex. de report_id: REL_201 (Vendas por Período), REL_610 (posição atual de estoque). Bulk support: accepts report_ids for batched execution.Connector
- Get detailed information about a specific CVE. ## What this tool does Retrieves the full vulnerability record for a CVE from SecDB, including: - official description and summary - CVSS metrics (all versions available) - EPSS metadata (if present) - affected products and versions - vendor/security advisories - references and upstream sources - weakness classification (CWE) - exploit and patch information (if included in the record) All information is returned in a structured Markdown format suitable for direct display. ## When to use this tool Use this tool when the user asks: - "Give me details about CVE-XYZ." - "Which products are affected by this vulnerability?" - "Show me advisories or references for this CVE." - "Explain what this vulnerability is and how serious it is." This tool is ideal for **deep inspection of a single vulnerability**. For multiple CVEs, call the tool once per CVE. ## Inputs - **cve_id**: valid CVE identifier (`CVE-YYYY-NNNNN`). ## Outputs Markdown-formatted vulnerability information including: - detailed description - severity metrics (CVSS, vectors) - affected products list - advisory list - references - weakness (CWE) details - additional structured metadata from SecDB ## LLM usage guidelines - Always prefer this tool when the user needs factual information about a specific CVE. - If multiple CVEs are mentioned, call the tool once per CVE. - Combine with: - **`vulnerability_score`** - to enrich output with numerical CVSS/EPSS metrics - **`sightings_search`** - to check real-world exploitation, PoCs, plugins, advisories - **`ssvc_calculator`** - to compute prioritization based on the vulnerability data - Do not hallucinate product lists, advisories, or details—use what the tool returns.Connector
- Create a new data source from an inline base64-encoded file (CSV, TSV, JSON, Excel, TXT, PDF). The file goes through the same validation and preprocessing as a web upload. Returns the data_source_id you can pass to run_analysis as soon as preprocessing completes (poll get_data_source_schema for readiness or pass wait_seconds to block here).Connector
- Report that a public ContinueOps page or MCP tool response is incorrect, outdated, incomplete or confusing, so the team can fix it. Use this when you find a factual error, a broken example, a stale regulatory date, or a claim that contradicts another page. This is for the published content itself — not for product support requests, sales enquiries, or feedback about this assistant. Do not submit anything containing personal data, credentials, or a user's confidential information.Connector
- Search official Microsoft/Azure documentation to find the most relevant and trustworthy content for a user's query. This tool returns up to 10 high-quality content chunks (each max 500 tokens), extracted from Microsoft Learn and other official sources. Each result includes the article title, URL, and a self-contained content excerpt optimized for fast retrieval and reasoning. Always use this tool to quickly ground your answers in accurate, first-party Microsoft/Azure knowledge. ## Follow-up Pattern To ensure completeness, use microsoft_docs_fetch when high-value pages are identified by search. The fetch tool complements search by providing the full detail. This is a required step for comprehensive results.Connector
- Render an LBO result into a professional Excel workbook (Summary + year-by-year Projection table + Inputs sheet). Returns a 15-minute presigned R2 download URL. SERVER-TRUST: the deal is re-derived in-Worker from the supplied `lbo_result.inputs_echo` (the math is pure + deterministic) and the workbook renders Valuein's recomputed figures — never the caller's claimed values. If the claimed figures disagree, the workbook is still produced but stamped with a visible correction banner and the response `verification.status` is 'corrected'. Pair with `compute_lbo` for a typical flow: agent calls `compute_lbo({ticker, ...})`, then passes the structured result straight to `generate_lbo_xlsx({ticker, lbo_result, ...})` to materialise a shareable file. Tier: pro+.Connector
- Get detailed information about a specific MCP tool, scoped to one product. Pass both the productSlug and the tool name — same-named tools across products are distinct. Response: { tool: { normalizedName, displayName, description, inputSchema, productSlug, productName, serverQualifiedName, isRemoteCapable, accessModel, healthScore, readOnly, destructive, tier, unverified, verifiedAt, position (always 1), rank (always 1.0) } }. Errors: { error: { code: 'not_found', ... } }.Connector
- Generate a PDF or Excel document from HTML (document_content) or a URL (document_url). Exactly one of document_content / document_url is required. By default the document is HOSTED and the tool returns a { download_url } you can fetch — ideal for agents (no large binary in the response). Set hosted:false to get the raw document back as base64, or async:true to enqueue a job and poll docraptor_get_document_status. IMPORTANT: real documents consume account credits (billed). Set test:true to generate a FREE, watermarked document while developing. DocRaptor API: POST /docs.Connector
- Reads a plain text file from the local filesystem by its absolute path — the primary, default tool for reading a local text file (use this unless the file is a PDF, Word, Excel, or PowerPoint document, which have their own readers). The path must be inside an allowed folder — the same allowlist as file_write (the home directory by default; extend via Settings → Advanced → Allowed folders). A path outside the allowlist returns an actionable 'access denied' naming the allowed folders. Supports .txt, .md, .csv, .json, .xml, .log, .yaml, .toml and common code file types; auto-detects UTF-8 with Latin-1/Windows-1252 fallback. For files in OneDrive use onedrive_read_file, in Google Drive gdrive_read_file; for PDFs pdf_read, Word word_read, Excel excel_read.Connector
- Give it up to 20 invoice URLs (PDF or page images) and get back one table ready to post: number, date, seller, buyer, net / tax / gross, currency. Every row is checked in code — net + tax must equal gross — and the batch total is re-added independently, so a row the model misread is flagged with the exact difference instead of quietly landing in your books. Mixed currencies get no batch total on purpose: adding them together would be an accounting error. CSV is UTF-8 with BOM so Excel opens it right.Connector