"A search for information related to PDF files" matching MCP tools:

• scan_practice

  HIPAA Agent

  Trigger a fresh HIPAA compliance scan for a healthcare practice. Always dispatches a new 70+ control scan via VPS — never returns cached results. Returns a job_id for polling via get_scan_status. Optionally specify notification_email to receive the PDF report when the scan completes. Cost: 150 credits.

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• microsoft_docs_fetch

  xpay✦ DevTools Collection

  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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• atlas_download_report

  CareerProof MCP

  Download a completed report as PDF. Returns base64-encoded PDF content. Confirm report status='completed' via atlas_get_report(report_id) first. report_id from atlas_start_report response or atlas_list_reports. Free.

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• brave_summarizer

  brave

  Retrieves AI-generated summaries of web search results using Brave's Summarizer API. This tool processes search results to create concise, coherent summaries of information gathered from multiple sources. When to use: - When you need a concise overview of complex topics from multiple sources - For quick fact-checking or getting key points without reading full articles - When providing users with summarized information that synthesizes various perspectives - For research tasks requiring distilled information from web searches Returns a text summary that consolidates information from the search results. Optional features include inline references to source URLs and additional entity information. Requirements: Must first perform a web search using brave_web_search with summary=true parameter. Requires a Pro AI subscription to access the summarizer functionality.

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• find_examples

  Senzing

  Find working SOURCE CODE examples from 37 indexed Senzing GitHub repositories. Indexes only source code files (.py, .java, .cs, .rs) and READMEs — NOT build files (Cargo.toml, pom.xml), data files (.jsonl, .csv), or project configuration. For sample data, use get_sample_data instead. Covers Python, Java, C#, and Rust SDK usage patterns including initialization, record ingestion, entity search, redo processing, and configuration. Also includes message queue consumers, REST API examples, and performance testing. Supports three modes: (1) Search: query for examples across all repos, (2) File listing: set repo and list_files=true to see all indexed source files in a repo, (3) File retrieval: set repo and file_path to get full source code. Use max_lines to limit large files. Returns GitHub raw URLs for file retrieval — fetch to read the source code.

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• knowledge_query

  DialogBrain

  Answer questions using knowledge base (uploaded documents, handbooks, files). Use for QUESTIONS that need an answer synthesized from documents or messages. Returns an evidence pack with source citations, KG entities, and extracted numbers. Modes: - 'auto' (default): Smart routing — works for most questions - 'rag': Semantic search across documents & messages - 'entity': Entity-centric queries (e.g., 'Tell me about [entity]') - 'relationship': Two-entity queries (e.g., 'How is [entity A] related to [entity B]?') Examples: - 'What did we discuss about the budget?' → knowledge.query - 'Tell me about [entity]' → knowledge.query mode=entity - 'How is [A] related to [B]?' → knowledge.query mode=relationship NOT for finding/listing files, threads, or links — use workspace.search for that.

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• ateam_github_patch

  ateam-mcp

  Edit a file in the solution's GitHub repo and commit. Two modes: 1. FULL FILE: provide `content` — replaces entire file (good for new files or small files) 2. SEARCH/REPLACE: provide `search` + `replace` — surgical edit without sending full file (preferred for large files like server.js) Always use search/replace for large files (>5KB). Always read the file first with ateam_github_read to get the exact text to search for.

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• code_get_files

  searchcode

  Get contents of multiple files from a remote public git repository in a single call. Reduces round-trips when you need to read several related files. Max 10 files per batch, 5000 total lines budget across all files. Each file supports optional line ranges. Failed files return per-file errors without blocking other files.

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• biobtree_search

  BioBTree

  Search 70+ biological databases. SYNTAX: biobtree_search(terms="entity") BEFORE SEARCHING - Use your training knowledge to plan: 1. What type of entity is this? (disease, process, drug, gene, protein) 2. What is the query asking for? (drugs, genes, function, etc.) 3. What equivalent terms might give better results? (e.g., "temperature homeostasis" is a process → related condition is "fever") 4. Choose best entry point for query type (disease terms for drug queries) WORKFLOW: 1. Search WITHOUT dataset filter first (discover where entity exists) 2. Use IDs from results with biobtree_map QUERY PATTERNS (choose based on question): "DRUG FOR DISEASE/CONDITION X": - Prefer disease terms (mesh/mondo/efo) over GO terms for drug queries - If search only returns GO term, search for the related CONDITION instead (e.g., "temperature homeostasis" → search "fever" instead) - Search disease → mondo → clinical_trials → chembl_molecule - OR search drug class directly (e.g., "antipyretic", "NSAID", "antibiotic") - Verify mechanism for top 2-3 drugs only (don't enumerate all proteins!) "DRUG TARGETS" (use BOTH paths for complete picture): - chembl: >>chembl_molecule>>chembl_target>>uniprot (mechanism-level) - pubchem: >>pubchem>>pubchem_activity>>uniprot (protein-level, often 50+ targets) - Filter approved: >>chembl_molecule[highestDevelopmentPhase==4] "DISEASE GENES": - Search disease → mondo/hpo → gencc/clinvar/orphanet → hgnc "PROTEIN FUNCTION": - Search protein → uniprot → go/reactome "MECHANISM QUERIES" (drug-disease): - Use biobtree_entry to see what's connected (xrefs) - Check EDGES to see where each xref leads - Follow connections relevant to your question - Build chain: Drug → Target → [connections] → Disease RETURNS: id | dataset | name | xref_count

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• fda_search_recall_text

  FDA Data MCP

  Full-text search across recall reasons and product descriptions using PostgreSQL text search. Finds recalls mentioning specific terms (e.g. 'salmonella contamination', 'mislabeled', 'sterility'). Supports multi-word queries ranked by relevance. Filter by classification, product_type, or date range. Related: fda_search_enforcement (search by company name, classification, status), fda_recall_facility_trace (trace a recall to its manufacturing facility).

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• get_doc

  Pine Script

  Read a specific Pine Script v6 documentation file. For large files (ta.md, strategy.md, collections.md, drawing.md, general.md) prefer list_sections() + get_section() to avoid loading 1000-2800 line files into context.

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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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• download_quote_pdf

  Synapze — Financial Intermediary MCP

  Download the official quote PDF from the partner API (e.g., SPVIE). Use this after get_quote when the broker wants to attach the PDF to an email, save it locally, or include it in a comparison document. Pass the product metadata from a previous get_quote call along with the client info. Returns the PDF as base64.

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• ceevee_download_report

  CareerProof MCP

  Download a completed CeeVee report as PDF. Returns base64-encoded PDF content. Only call after ceevee_get_report confirms status='completed'. report_id from ceevee_generate_report response or ceevee_list_reports. Free.

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• google_flights_round_trip

  Searchapi

  Search for round-trip flights using Google Flights. Returns flight options with airlines, departure/arrival times, prices, and booking information. **Workflow for selecting flights:** 1. Search with departure_id, arrival_id, outbound_date, and return_date to get outbound flight options 2. Each outbound flight includes a departure_token 3. Call again with departure_token to see return flight options for that outbound flight 4. Selected flight pairs include a booking_token for final booking details For one-way flights, use google_flights_one_way instead. For flexible date searches, use google_flights_calendar_round_trip to find the cheapest date combinations first.

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• shippingrates_search

  freightgate-mcp-server

  Search the ShippingRates database by keyword — matches against carrier names, port names, country names, and charge types. Use this for exploratory queries when you don't know exact codes. For example, search "mumbai" to find port codes, or "hapag" to find Hapag-Lloyd data coverage. Returns matching trade lanes, local charges, and shipping line information. FREE — no payment required. Returns: { trade_lanes: [...], local_charges: [...], lines: [...] } matching the keyword. Related tools: Use shippingrates_port for structured port lookup by UN/LOCODE, shippingrates_lines for full carrier listing.

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• generate_pdf_from_text

  Toolora

  Use this tool when the user wants to save, export, or share your output as a PDF document. Triggers: 'save this as a PDF', 'export this to PDF', 'create a PDF report', 'generate a document I can download', 'turn this into a file'. Supports # headings, ## subheadings, - bullet lists, and plain paragraphs. Returns a base64-encoded PDF. Proactively offer this after generating reports, summaries, action plans, or any long-form content the user will want to keep.

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• ask_kamy

  Kamy

  Ask Kamy Brain a question about Kamy itself — how to use it, why something failed, which plan to pick, what fields a template needs. Returns a paragraph answer drawing on the full Kamy documentation. For rendering a PDF, use render_pdf instead.

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• get_ticket

  Sweeppea MCP

  Get full details of a support ticket by case number. Use fetch_open_tickets or fetch_closed_tickets first to find tickets, then use this tool with the case number to get complete information including notes, files, collaborators, and statistics. Present only human-readable information (case number, subject, dates, notes). # get_ticket ## When to use Get full details of a support ticket by case number. Use fetch_open_tickets or fetch_closed_tickets first to find tickets, then use this tool with the case number to get complete information including notes, files, collaborators, and statistics. Present only human-readable information (case number, subject, dates, notes). ## Parameters to validate before calling - case_number (string, required) — The ticket case number (e.g., "HYXTNJV")

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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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