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306,934 tools. Last updated 2026-07-19 12:00

"Convert a PDF into a Graph DB Representation for Decision Trees" matching MCP tools:

  • Answers "how loud is Tokyo", "noise level in Mumbai", "is Delhi louder than London". Estimated day/night noise ranges (dB), rank among 50 major world cities, dominant noise sources and a confidence label, with WHO guideline context (53 dB Lden / 45 dB Lnight). Estimates synthesized from published sources, not measurements. For US cities computed from federal data use get_us_city_noise_exposure; for measured Europe data use get_europe_city_noise.
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  • Submit a multi-step workflow to the Botverse workflow engine. Steps execute in dependency order; parallel branches (multiple steps with the same depends_on) run simultaneously. Returns a workflow_id immediately — poll get_workflow_status every 5–10 seconds until terminal. INTER-STEP REFERENCES: pass a prior step's output into a later step with the string "$.steps.<step_id>.output_key" (e.g. a docx→pdf chain: step to_pdf has depends_on: ["to_docx"] and inputs {"source_url": "$.steps.to_docx.output_key", "input_format": "docx", "output_format": "pdf"} using tool convert_from_url). Workflow params are referenced as "$.params.<name>". No other template syntax (${...} etc.) is supported. BILLING: convert-only workflows run on wallet balance ($0.05/step). Workflows containing transcode or transcribe steps require auto-refill to be enabled at botverse.cloud/dashboard/billing (their cost scales with source duration). Workflow definition uses BWDL (Botverse Workflow Definition Language) — schema at botverse.cloud/schemas/workflow/v1.json.
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  • Search commercial real estate listings. Returns paginated hits with facet counts. For AI-driven search, call interpret_search first to convert a natural-language query into structured filters, then pass those filters — and its bounds, when present — here.
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  • Free discovery: corpus-backed SELLER reputation for a merchant/provider wallet. Answers "is this provider organic, narrow, or a wash fleet?" from the merchant's inbound payment graph over the last 90 days: unique payers, repeat-payer %, heavy-fleet revenue concentration, captive-payer % (onboarding-sink proxy), and a scripted-fleet uniformity signal. Returns a wash_label + reputation tier + wash_flagged bool. Complements score_wallet_for_intel (payer side) with the seller side. Fail-open: a DB gap returns wash_label/tier "unknown" rather than erroring. This is the free seller signal; the paid per-wallet renorm model + signed v6 receipt remain at GET /v1/intel/trust/{wallet} (0.05 USDC).
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  • Send a contact message to a broker on Venturu by their profile slug. Requires an authenticated Venturu account. Set inquiryType to "buying" (default) for buyer representation or "selling" for seller representation. Provide the broker slug and the message to send. Use search_brokers to find broker slugs.
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  • Send a contact message to a broker on Venturu by their profile slug. Requires an authenticated Venturu account. Set inquiryType to "buying" (default) for buyer representation or "selling" for seller representation. Provide the broker slug and the message to send. Use search_brokers to find broker slugs.
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  • 连板网A股复盘数据: 连板天梯/题材/情绪周期/龙虎榜游资/个股涨停史 (A-share daily review, free read-only)

  • Manage your Canvas coursework with quick access to courses, assignments, and grades. Track upcomin…

  • Answers "loudest cities in the US", "quietest cities in the US", "how noisy is Boston", "what share of Miami hears highway noise". Share of residents exposed to ≥60 dB / ≥70 dB transportation noise for all 297 US cities of 100,000+ residents, computed from the federal BTS 2020 National Transportation Noise Map, not estimated. Pass a city for detail, omit for the ranking. Street address → get_address_noise; neighborhoods → get_neighborhood_noise.
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  • Extract tables and forms as Markdown from a PDF or image (base64-encoded). Use when the document contains structured tabular data such as financial statements, data sheets, or forms. For plain prose documents, use extract_text instead. Returns: { pages: number, text: string } — text contains Markdown-formatted tables. Example prompts: - "Extract the tables from this financial statement." - "Pull the data table from this PDF into Markdown format." - "Get the tabular data from this form document."
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  • Generate and archive the certificate PDF for a fingerprint attested in this session with `attest_hash`. The PDF is cryptographically signed, anchored in Bitcoin (OpenTimestamps) and archived server-side; this tool returns the permanent links (the PDF itself is downloadable from its URL — it is never inlined here).
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  • Convert a JSON array of objects into a Markdown table. Automatically detects columns, aligns headers, and fills missing keys with empty cells. Use when an agent needs to present structured data — tool results, model comparisons, test reports — as a readable table in a response or document.
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  • Answers "how long can I listen to 100 dB", "is 85 dB dangerous for 8 hours", "how long at a concert before hearing damage". Maximum daily safe exposure time for a sound level per NIOSH's recommended exposure limit: 85 dB(A) for 8 h, 3 dB exchange rate (88 dB → 4 h, 100 dB → 15 min). Input is a dB number; to get the dB of a named sound first, use lookup_sound_level.
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  • Convert HTML or Markdown to a pixel-perfect PDF. Returns JSON: { url } — a temporary download URL (valid ~1 hour). Great for generating invoices, reports, receipts, or formatted documents programmatically. Supports full HTML/CSS including tables, images (base64 or URL), and inline styles. For Markdown input, set format='markdown'. 50 sats per conversion. Use convert_file instead for converting existing files between formats (e.g., DOCX→PDF). Pay per request with Bitcoin Lightning — no API key or signup needed. Requires create_payment with toolName='convert_html_to_pdf'.
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  • Convert a timestamp between Unix epoch and human-readable date formats. Use this to translate Unix timestamps (e.g., 1717000000) into ISO 8601 date strings, or convert date strings back to Unix timestamps. Parameters: value — The timestamp or date string to convert (required). Accepts Unix timestamps (seconds since epoch) or various date string formats like "2025-05-29" or "May 29, 2025". format — Target output format (default: "iso"). Common values include "iso", "unix", "rfc2822", etc.
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  • Use this tool when the user provides two or more PDF files and wants them combined into one. Triggers: 'merge these PDFs', 'combine these documents', 'join these files into one PDF'. Accepts 2–20 base64-encoded PDFs in order. Returns the merged PDF as a base64 string.
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  • Resolve a place 'query' to coordinates (forward) or find nearest places to 'latitude'+'longitude' (reverse). Mediterranean-focused curated DB; forward falls back to OSM/Nominatim globally. Each result carries a 'source' discriminator ('local' for the curated marine DB, 'osm' for the global fallback). Returns name, type, coords, source, plus similarity (forward) or distance_m (reverse). Example forward: query="Portofino". Example reverse: latitude=44.3, longitude=9.21, radius_m=50000. Chain into nausika_marine_forecast, nausika_tides, nausika_search_places, or nausika_sea_route using the returned coords.
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  • Returns a Mapbox static-tile image URL for a Wikipedia article as a PDF download. Caller fetches the binary PDF directly from the returned URL via browser or curl. Pass title plus optional project/lang for non-English Wikimedia projects.
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  • Convert an accepted quote into a full invoice pipeline: create/update job → sync invoice to accounting (Xero/QB/MYOB) → generate Stripe payment link → notify customer → alert team. Handles the entire quote-accepted → paid lifecycle.
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  • Extract tables and forms as Markdown from a PDF or image (base64-encoded). Use when the document contains structured tabular data such as financial statements, data sheets, or forms. For plain prose documents, use extract_text instead. Returns: { pages: number, text: string } — text contains Markdown-formatted tables. Example prompts: - "Extract the tables from this financial statement." - "Pull the data table from this PDF into Markdown format." - "Get the tabular data from this form document."
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  • Convert a resume/document from one FILE FORMAT to another (e.g. DOCX→PDF) using the RChilli Document Converter Plugin. Use this when the user wants to: convert, change the file format, or export a resume/ document to PDF / DOC / DOCX / RTF / HTML — e.g. "convert this resume to PDF", "change the format to DOCX", "export as HTML". Also phrased as: file conversion, change format, export to PDF/DOCX, save as. Do NOT use for: applying a styled/branded visual template (use ``plugin_resume_template``); reading/extracting resume data (use ``resume_parse_file``). Args: resume_text: Plain text content of the resume. The server encodes it internally. filename: Original filename with extension (e.g. ``resume.docx``). Defaults to ``resume.txt`` if omitted. userkey: RChilli API userkey. Leave blank to use the authenticated session key. subuserid: Sub-user identifier for multi-tenant isolation. outputtype: Target format ``pdf`` (default), ``doc``, ``docx``, ``dot``, ``rtf``, or ``html``. facedetection: Set to ``'true'`` to detect and preserve face images during conversion. Returns: The converted document as base64-encoded content under ``OutputFileData``, plus the output filename under ``OutputFileName``.
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  • Return the full doctor-reviewed triage explainer for a single symptom by slug. Includes: what the symptom means, common causes, the lab work-up a clinician would order, and when the patient should seek urgent evaluation. The related marker and condition slug arrays let the upstream LLM follow the graph into mediora__explain_marker / explain_condition.
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