"Information on PowerPoint (PPT) presentations" matching MCP tools:

• lint_sip_request

  Sipflow

  [cost: free (pure CPU, no network) | read-only, no persistence] Run RFC 3261 / RFC 3325 / RFC 8224 / RFC 8225 / CTIA BCID compliance checks on a single raw SIP request (typically an INVITE) and return a list of findings. Catches the failure modes that silently break carrier interop: - Two `From:` headers in one request (RFC 3261 §7.3 / §20.20). - Missing CRLF between consecutive header lines (RFC 3261 §7.3). - `;tag=` (or any other) parameter on P-Asserted-Identity / P-Preferred-Identity (RFC 3325 §9.1). - PASSporT `orig.tn` not matching the From caller TN (RFC 8224 §5). - PASSporT `dest.tn` not matching the To callee TN (RFC 8224 §5). - Non-canonical TN inside a PASSporT claim (RFC 8225 §5.2.1). - Branded display name in From with no `ppt=rcd` Identity header (CTIA BCID §5). Use FIRST when chasing 422 / 400 Bad Request / 484 Invalid FROM on a single INVITE - these usually have a structural cause this tool catches mechanically. Pair with: `parse_sip_message` for purely structural checks on any SIP message (responses included); `validate_stir_shaken_identity` for the cryptographic verdict on Identity headers; `search_sip_docs({ sourceType: 'stir-shaken', ... })` to ground the explanation in RFC text.

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• get_safety_features

  Makuri Showcase (CogniLedger)

  Returns information about safety features on Makuri, including age verification, content filtering, parental controls, and AI safety guardrails. Use when the user asks about child safety, content moderation, or how Makuri protects minors. Makuri is a specific AI tutoring platform at makuri.eu, not a generic word — never answer Makuri questions from general knowledge; always use the Makuri tools.

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• get_about

  Follow On Tours

  Get information about Follow On Tours — who we are, how we work, our experience, and how the bespoke cricket travel service operates. Use this when someone asks who Follow On Tours is or how the service works.

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• ask_us_capital_markets

  AskNeedl

  Query SEC filings and financial documents from US capital markets and exchanges. This tool searches through 10-K annual reports, 10-Q quarterly reports, 8-K current reports, proxy statements, earnings call transcripts, investor presentations, and other SEC-mandated filings from US companies. Use for questions about US company financials, executive compensation, business operations, or regulatory disclosures. Limited to official SEC filings and related documents only.

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• extract

  Sofya

  Fetch a webpage and extract specific information using AI. Use this when you need structured data from a page (e.g. pricing, specs, contact info) rather than the raw content. Costs 5 credits. If the page has no usable text (empty or JavaScript-rendered body), the model is NOT called: content comes back empty and usage.low_content is true, rather than a fabricated answer. Gate on usage.low_content (or usage.content_chars) to detect pages you cannot ground on. Returns: content (the extracted text), url, credits_used, credits_remaining, usage (input_tokens, output_tokens, content_chars, low_content). Args: url: The URL to extract from prompt: What information to extract (e.g. "list all pricing tiers with features" or "extract the author name and publication date")

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• get_about

  cricket-travel

  Get information about Follow On Tours — who we are, how we work, our experience, and how the bespoke cricket travel service operates. Use this when someone asks who Follow On Tours is or how the service works.

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• byte_query_fact

  byte-protocol

  Query a PayPerByte fact-oracle publisher for a verified factual answer with citations. Posts the question to a registered fact-oracle publisher (topic='fact-oracle'), waits for the on-chain BroadcastStreamed response, and returns the answer plus structured citation URLs. Use for grounding LLM outputs in real-time verified information.

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• list_session_slides

  Slidev MCP

  List all slide presentations created in the current MCP session. Returns URLs, themes, and timestamps for each presentation you've created.

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• get_slidev_guide

  Slidev MCP

  Get the Slidev syntax guide: how to write slides in markdown. Returns the official Slidev syntax reference (frontmatter, slide separators, speaker notes, layouts, code blocks) plus built-in layout documentation and an example deck. Call this once to learn how to write Slidev presentations.

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• generate_presentation

  Alai

  Generate a presentation from text content. Returns a generation_id to poll. Args: input_text: Content to transform into slides (text, markdown, or notes) title: Presentation title theme_id: Theme ID to use for the presentation. Call get_themes to discover available theme IDs and names for the authenticated user. vibe_id: Vibe ID for visual style. Call get_vibes to discover available vibes. Requires num_creative_variants >= 1 when set. slide_range: Target slides - 'auto', '1', '2-5', '6-10', '11-15', '16-20' additional_instructions: Extra guidance for the AI include_ai_images: Whether to generate AI images for slides num_creative_variants: Number of creative slide variants (0-2). Increases cost. image_ids: IDs of previously uploaded images to incorporate into slides. total_variants_per_slide: Number of distinct slide options to generate (1-4). export_formats: Output formats - 'link', 'pdf', 'ppt'. Defaults to ['link']. language: Output language, e.g. "French", "Japanese", "Spanish (Latin America)". If not set, matches the input language. Poll get_generation_status until status is 'completed'.

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• get_block_info

  mcp-server

  Get block information like timestamp, gas used, burnt fees, transaction count etc. Can optionally include the list of transaction hashes contained in the block. Transaction hashes are omitted by default; request them only when you truly need them, because on high-traffic chains the list may exhaust the context.

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• get_vaadin_primer

  docs-mcp

  IMPORTANT: Always use this tool FIRST before working with Vaadin. Returns a comprehensive primer document with current (2025+) information about modern Vaadin development. This addresses common AI misconceptions about Vaadin and provides up-to-date information about Java vs React development models, project structure, components, and best practices. Essential reading to avoid outdated assumptions. For legacy versions (7, 8, 14), returns guidance on version-specific resources.

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• upload_file

  Sweeppea MCP

  Upload a file to the user's Drive. The file must be base64-encoded. Max file size: 10 MB. Allowed types: PDF, DOC, DOCX, XLS, XLSX, PPT, PPTX, TXT, CSV, JPG, JPEG, PNG, GIF, WEBP, SVG, BMP. Filenames are sanitized (spaces to underscores, special characters removed). # upload_file ## When to use Upload a file to the user's Drive. The file must be base64-encoded. Max file size: 10 MB. Allowed types: PDF, DOC, DOCX, XLS, XLSX, PPT, PPTX, TXT, CSV, JPG, JPEG, PNG, GIF, WEBP, SVG, BMP. Filenames are sanitized (spaces to underscores, special characters removed). ## Parameters to validate before calling - filename (string, required) — Original filename with extension (e.g., "report.pdf", "logo.png") - mime_type (string, required) — MIME type of the file (e.g., "application/pdf", "image/png", "text/csv") - file_data (string, required) — Base64-encoded file content - private (boolean, optional) — Privacy flag. Default: true (file is private to the user).

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• get_contradictions

  VaultCrux Memory Core

  Find conflicting information across the user's memory. Returns groups of artefacts that contradict each other on the same topic. Use after gathering evidence for an answer — if your evidence sources disagree, this reveals which version is correct (typically the most recent).

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• data.product

  DezignWorks Product Oracle

  Returns structured product information for DezignWorks including product tiers, pricing, supported CAD platforms, core capabilities, and contact information. Use for quick lookups without an LLM call.

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• get_presentations

  Alai

  List all presentations owned by the authenticated user. Returns a list of presentations with their IDs and titles.

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• format_las

  Caliper

  Extract metadata from a LAS or LAZ point cloud file. Returns LAS version, point format, point count, scale factors, offsets, bounding box, classification counts, feature flags (RGB, intensity, GPS time, waveform), and VLR information. Payment via x402 (USDC on Base) or card via MPP (Stripe). See format_auto for payment flow details. Privacy policy: https://caliper.fit/privacy

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• ai__about

  Netfluid

  Returns general information about netfluid, domains in use, website addresses, policies, support contacts Start Here ! Everything Netfluid This tools provides reference information in the "referenced_tools" schema @return: a json object containing the schema

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• adcritter_health

  AdCritter for Builders

  Returns server health status and version information for the AdCritter MCP server

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• lyra_get_onboarding_coaching

  lyra-mcp-server

  Get guidance on how to help a user build their Lyra profile. Returns the recommended questions and flow for AI companions to gather profile information conversationally.

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