"Generating a PDF report with context and images" matching MCP tools:

• save_freeform_report

  Valuein — SEC EDGAR Fundamentals & Smart-Money Data

  Save free-form markdown (e.g. a chat synthesis) as a DRAFT report you can refine in the editor and export to Word/PDF. Unlike `create_report` (which computes a structured reverse_dcf or thesis report), this accepts raw markdown and splits it into sections. PASS `citations` with the fact_ids behind the figures you wrote — without them every number in the report reads as unsourced and the report can never be signed off. Tier: sample rejected (reports are per-author state). Idempotency-key → stable report id.

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• check_upload_link

  Orivox AI Website Builder

  Return the EXACT images the user chose on their upload link. Pass the token_id that request_image_upload_link returned. Call this after the user says they uploaded or picked their images: it returns files[], each with a hosted url and a source ("upload", "gallery", or "shared"), so you place PRECISELY the images they selected instead of guessing from the whole gallery. An empty files list means they have not chosen anything yet -- ask them to open the link and add images, or wait and check again. Read-only; changes nothing.

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• compliance_check

  ListingGood MCP

  Quick pre-publish compliance gate before generating a listing. Fast, free scan for obvious red-line words and category risks. Returns a shallow pass/fail-style result, not a full audit. Use this as a cheap pre-check right before generation. Do NOT use it for a complete risk report - use compliance_scan for the deep knowledge-base audit. Read-only; requires an API key; no credits deducted. Args: text: listing copy (required). lang: zh or en (default en). category: optional category hint, e.g. electronics or apparel.

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• microsoft_docs_fetch

  Microsoft Learn MCP

  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.

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• reliefweb_get_report

  reliefweb-mcp-server

  Fetch a single ReliefWeb report by its numeric ID with full body text, file attachments, and all metadata. Use after reliefweb_search_reports to retrieve document content — body is excluded from search results to manage context budget. Report bodies can be 10–100KB. A record over the response budget comes back as a section outline naming every section and its byte size; re-call with sections to pull only the ones needed. Nothing is truncated on either path.

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• firmaradar_start_aml_report

  Firmaradar

  Start generating an AML risk report ASYNCHRONOUSLY for a Norwegian company. Returns immediately with a report_id and status 'pending' — the report is built in the background. Poll `get_aml_report` with the report_id until status is 'done' (then read score/level/factors) or 'failed'. Use this instead of `get_aml_score` for large/complex ownership structures that may otherwise time out, or to start many screenings in parallel. Generates an auditable report stored for 60 months per Hvitvaskingsloven §35.

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• parse_pdf_to_text

  Nordic Financial MCP

  Download a PDF from a URL and extract all text content, page by page. Use this to read the full text of a specific document — for example, an annual report PDF linked from a search_filings result. Best combined with search_filings: use search_filings to locate the document, then parse_pdf_to_text for the full text. Do not use for PDFs that are already well-represented in the database — search_filings is faster and returns pre-ranked, relevant excerpts. Not suitable for scanned (image-only) PDFs without embedded text; those pages will be returned as "(no extractable text)". Args: pdf_url: Direct HTTPS URL to the PDF file, e.g. https://example.com/report.pdf. Must be publicly accessible; authentication-protected URLs will fail. Returns: All text from the PDF with "--- Page N ---" separators between pages. Returns an error string if the download fails, the URL does not point to a valid PDF, or the document exceeds the 60-second download timeout.

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• report_status

  Datalastic Vessel Tracking & Maritime Intelligence

  Check an async report job by report_id (from report_request or report_list). Returns its status: _PENDING_ or _IN_PROGRESS_ (still generating — wait a bit and check again) or _DONE_. When _DONE_, result_url is a download link for the result ZIP; hand it to the user. Links are time-limited — if one has expired, run report_status again for a fresh link. The server never downloads the file itself.

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• convert_html_to_pdf

  Sats4AI - Bitcoin-Powered AI Tools

  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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• start_deep_report

  Moonlings — Local Business Intelligence

  Launch a full overnight-grade research report on a local business: an autonomous research crew maps the competitive landscape, reads the business's and rivals' web presence, and delivers a long-form graded report with structured findings and an action list. ASYNC: this tool returns a slug immediately; the report takes roughly 10-20 minutes. Poll check_report_status, then fetch with get_report_result. Price: $9.99, charged when the report launches; if the report fails, the charge is refunded automatically. Each call starts a NEW report — do not retry a call that already returned a slug.

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• generate_report

  Ansvar: EU Compliance & Legal Intelligence

  Produce the final compliance report from a completed workflow. Use this when someone says 'generate the gap analysis report', 'I need the DPIA report as a document', or 'create the threat model output'. Refuses until every quality gate passes, returning the failing check and a hint. Returns a structured report with findings, citations, and recommendations. Pass format html, pdf, docx, or all to additionally receive branded rendered artifacts as short-lived download URLs in a sibling render key; render failures attach render_error and never drop the report JSON. Rendering is served by the document plane and starts at the team tier; on free and solo an included run also returns html or pdf carrying an Ansvar watermark. Every other tier receives the report as JSON, and a format the caller's tier does not serve is refused explicitly rather than quietly downgraded.

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• submit_feedback

  Pure Report — Neutral News

  Report a problem or request to Pure Report's operator and get a tracking ref back. Use this when the data looks wrong — a bias score or outlet lean that doesn't match the source, an event cluster mixing unrelated stories, a missing neutral writeup, a broken article — or to ask a methodology question or request a capability. Include the article_id or event_slug you were looking at; that context is what makes a report actionable. A human reads these: replies take time and are not guaranteed. Call check_feedback with the returned ref to read the reply.

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• get_research_file

  Valuein — SEC EDGAR Fundamentals & Smart-Money Data

  Fetch the Auditable Research File behind one of the caller's own agent runs — the complete evidence chain an examiner asks for: the originating prompt, every tool the agent called in order, every `fact_id` it cited, every human approval, and which models were used. Assembled from the immutable audit ledger written as the run executed; nothing here is reconstructed or inferred. Name the subject EITHER way, and pass exactly one: `report_id` (a report you wrote or found — from `create_report`, `list_my_reports` or `search_reports`) or `run_id` (from `list_agent_runs`). Naming a REPORT is the richer call: it resolves the run behind that report AND adds two sections a run's ledger cannot carry — `human_review` (each figure a HUMAN verified, corrected, rejected or sourced externally, with who and when) and `sources` (the SEC filing, form, period and filed date behind each cited fact_id). It also echoes the resolved `run_id`. A run-keyed call omits both, because a run may produce several reports and 'the report for this run' has no honest answer; empty or absent there means NOT RESOLVED, never 'no sources'. `format: "pdf"` returns the SAME assembled file as a branded compliance PDF instead of inline JSON — a 15-minute presigned download URL (`url` + `filename`) for the human-facing artifact (cover with the completeness verdict, evidence chain table, provenance with clickable sec.gov links). The PDF is rendered fresh on every call — never cached — because an in-flight run's ledger can gain entries, and a stale 'complete' verdict is exactly the lie this document exists to prevent. ⚠️ ALWAYS READ `completeness` FIRST AND REPORT IT. `completeness.complete` is computed from the ledger, and `completeness.gaps` names every hole found — an irreversible action taken with no named approver, a state-changing action that cited no fact_id, an unrecorded model, a failed step. If you present this run as evidence, present the gaps too; a chain with holes that is quoted as if whole is the one thing this artifact exists to prevent. ⚠️ `found: false` IS NOT A FINDING ABOUT THE WORK. It is returned (not as an error) for an unknown id, an id belonging to another customer, and a report with no run on record — deliberately indistinguishable, so no caller can probe which. It means we hold no audit trail under that id. It does NOT mean the report is unaudited, unverified, or that the id does not exist, and it must never be reported that way. Tier: sp500+ (sample rejected).

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• render_resume_pdf

  ResumeMD

  Render a Markdown resume to a finished PDF using a ResumeMD template (default: classic — see list_resume_templates for all 32 ids). Returns JSON with a base64-encoded PDF and a suggested filename; decode the base64 to give the user the file. The PDF is generated in memory and never stored. For interactive editing, template switching, and color choices, send the user to resumemd.pro/editor instead.

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• firmaradar_get_regnskapsrapport

  Firmaradar

  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.

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• generate_strategic_review

  TrendIdea

  Generate an executive-level strategic review report for an idea, synthesising all available validation data (market research, competition, SWOT, revenue model, VC score) into a concise go/no-go assessment with actionable recommendations. Requires prior validation data (run request_revalidation first if none exists). Returns cached report instantly if one exists, otherwise generates fresh analysis. Spends 2 credits only when generating new content. Not read-only; pass an ideaId you own.

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• get_trainings

  STAS Running Coach for Claude

  Load one bounded, size-safe chronological list of completed workouts plus historical calendar context (NOTE, SICK, INJURED, HOLIDAY). Context is not a workout and does not consume the training limit. Default mode is a rich index for chronology, load, reports, compact summaries, and choosing training_id; use offset to continue beyond the first 50 completed workouts. Set full=true only for analysis-rich comparison across multiple workouts; it adds a bounded compact interval projection. For one selected completed workout, use get_activity_detail for splits and richer detail; kilometre splits are intentionally omitted from get_trainings in every mode. If listDetail.userReportTruncated=true for a workout, its report was shortened only to keep the whole list within the response budget; call get_activity_detail with that training_id for the complete report.

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• generate_image

  BananaBanana Image, Video & Speech Generation

  Start an AI image generation (Google Nano Banana family). Charges the account balance immediately and returns a job_id — poll get_result for the finished image URLs. Typical completion: 10–60 seconds. Optional reference_images provide the model with the actual subject, product, character or style pixels; Nano Banana Pro supports up to 14 references. Costs $0.03–$0.20 per image depending on model and resolution (see list_models). Failed generations are automatically refunded. If a legitimate prompt is rejected by Google's content filter, retry with relaxed_filter: true. Generating several images at once (number_of_images > 1) is a batch: the first call returns a price quote and charges nothing — repeat the call with confirm_cost set to the quoted amount to start. Example: {"prompt": "studio photo of a ceramic mug on linen, soft daylight", "model": "nano-banana-2", "aspect_ratio": "4:5", "resolution": "1024"}

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• render_diagram

  Diagrams MCP

  Render a mingrammer/diagrams Python snippet to PNG and return the image. The code must be a complete Python script using `from diagrams import ...` imports and a `with Diagram(...)` context manager block. Use search_nodes to verify node names and get correct import paths before writing code. Read the diagrams://reference/diagram, diagrams://reference/edge, and diagrams://reference/cluster resources for constructor options and usage examples. Args: code: Full Python code using the diagrams library. filename: Output filename without extension. format: Output format — ``"png"`` (default), ``"svg"``, or ``"pdf"``. download_link: If True, return a temporary download URL path (/images/{token}) that expires after 15 minutes; if False, return inline image bytes. Defaults to True (URL) — set ``DIAGRAMS_INLINE_DEFAULT=true`` on the server to flip the default. SVG/PDF and PNGs larger than the inline limit always use a download link.

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• list_brand_assets

  Heista

  List images for a brand. Filter by PowerSource (this scan only, via powersource_id), by on-pack product_name (the vision tagger's read), by type (logo, product, product_cutout, hero, lifestyle, ingredient, packaging, certification, before_after, infographic, screenshot, video, general), or by is_primary_product. Use this BEFORE generating any image-based output so you pick from the brand's real assets, not generic stock. Returns asset_id, signed url, type, detected_product_name, is_primary_product, sources. Free, read-only. Paginated via cursor.

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