Skip to main content
Glama
127,309 tools. Last updated 2026-05-05 13:48

"Search related to 'PRD' (Product Requirement Document or Potential Abbreviation)" matching MCP tools:

  • Unified search across the registry and release content. Returns up to three sections — organizations, catalog entries (products + standalone sources folded into one list), and releases with CHANGELOG chunks interleaved by relevance. Use `type` to narrow the surfaces you want and skip the expensive paths. For example, pass `type: ['catalog']` to look up a known entity by name (fast, registry-only); pass `type: ['releases']` when you only care about release content and want to avoid entity lookups. Omit `type` to search all three. Use `entity` (product slug / prod_ id OR source slug / src_ id) to scope release results to one catalog entry. Product identifiers expand to every source under the product. Use `organization` to scope to a whole org. Release retrieval defaults to hybrid (FTS5 + semantic vectors fused via RRF); it silently degrades to lexical when vector infra is unavailable and flags the result.
    Connector
  • Search products in the connected store by keyword. Use this when a shopper's query suggests specific terms the agent can match against product titles or tags — e.g. "HEPA air purifier" or "leather wristwatch". Matches Shopify's native storefront search behavior, so results align with what customers would find on the site. Args: query: Keyword or phrase to match. limit: Max products to return (1-50, default 10). Returns: Same shape as ``list_products``. Empty products list when no matches.
    Connector
  • Add a document to a deal's data room. Creates the deal if needed. This is the primary way to get documents into Sieve for screening. Upload a pitch deck, financials, or any document -- then call sieve_screen to analyze everything in the data room. Provide company_name to create a new deal (or find existing), or deal_id to add to an existing deal. Provide exactly one content source: file_path (local file), text (raw text/markdown), or url (fetch from URL). Args: title: Document title (e.g. "Pitch Deck Q1 2026"). company_name: Company name -- creates deal if new, finds existing if not. deal_id: Add to an existing deal (from sieve_deals or previous sieve_dataroom_add). website_url: Company website URL (used when creating a new deal). document_type: Type: 'pitch_deck', 'financials', 'legal', or 'other'. file_path: Path to a local file (PDF, DOCX, XLSX). The tool reads and uploads it. text: Raw text or markdown content (alternative to file). url: URL to fetch document from (alternative to file).
    Connector
  • Retrieves full details of a specific shipment and document metadata. When a user requests a label, commercial invoice, or packing slip, ALWAYS call this tool first. Extract the 'shipping_documents' URL from the response and provide it as a direct, clickable Markdown link to the user. Do not attempt to describe or visualize the document; simply provide the URL for the user to download. Required authorization scope: `public.shipment:read` > All shipment documents are customisable. You can set: > > - Document format: URL, PDF or PNG > - Label page size: A4, A5 or 4x6 > - Commercial invoice page size: A4 or 4x6 > - Packing slip page size: A4 or 4x6 Args: easyship_shipment_id: The Easyship shipment ID, e.g. "ESSG10006001". label: Label page size: A4, A5, or 4x6. format: Document format: URL, PDF, or PNG. packing_slip: Packing slip page size: none, A4, or 4x6. commercial_invoice: Commercial invoice page size: A4 or 4x6. Returns: Full shipment details including shipping documents metadata.
    Connector
  • Lookup FDA device classification details by product code. Returns device name, device class (I/II/III), medical specialty, regulation number, review panel, submission type, and definition. Requires: product code (3-letter code from 510(k), PMA, or device product listings). Related: fda_product_code_lookup (cross-reference across 510(k) and PMA), fda_search_510k (clearances for this product code), fda_search_pma (PMA approvals for this product code).
    Connector

Matching MCP Servers

  • F
    license
    B
    quality
    D
    maintenance
    Reads README files from the file system and automatically generates structured Product Requirements Documents (PRDs), saving users time on documentation tasks.
    Last updated
    1
    9

Matching MCP Connectors

  • Transform any blog post or article URL into ready-to-post social media content for Twitter/X threads, LinkedIn posts, Instagram captions, Facebook posts, and email newsletters. Pay-per-event: $0.07 for all 5 platforms, $0.03 for single platform.

  • Smart home product intelligence: 1,080+ products with expert consensus scores and compatibility.

  • Search FDA device recalls by recalling firm (fuzzy match), product code, recall status, or date range. Returns device-specific recall details including root cause, event type, and product codes. Complements fda_search_enforcement which covers all product types. Related: fda_search_enforcement (all recalls including drugs), fda_recall_facility_trace (trace to manufacturing facility), fda_device_class (product code details).
    Connector
  • Search current promotions (Aktionen) across all 22 Swiss retailers. Uses full-text search + trigram matching directly on the deals database. Free — does not consume search credits. Returns product name, price, original price, discount %, retailer, category, and validity dates.
    Connector
  • <tool_description> Get detailed product information by ID from the Nexbid marketplace. Returns full product details including price, availability, description, and purchase link. </tool_description> <when_to_use> When you have a specific product UUID from a previous nexbid_search result. Do NOT use for browsing — use nexbid_search instead. </when_to_use> <combination_hints> Typically called after nexbid_search to get full details on a specific product. If user wants to buy → follow with nexbid_purchase. </combination_hints> <output_format> Full product details: name, description, price, currency, availability, brand, category, purchase link. </output_format>
    Connector
  • Search FDA 510(k) clearances across all companies. Filter by company name (fuzzy match), product code, decision code (e.g., SESE=substantially equivalent), clearance type (Traditional, Special, Abbreviated), and date range. Returns clearance number (K-number), applicant, device name, decision date, and product code. Related: fda_device_class (product code details and classification), fda_product_code_lookup (cross-reference a product code across 510(k) and PMA), fda_search_pma (PMA approvals for higher-risk devices).
    Connector
  • Find VA (Department of Veterans Affairs) facilities by location. Search for VA medical centers, clinics, benefits offices, cemeteries, and vet centers. At least one location parameter should be provided. Args: state: Two-letter state abbreviation (e.g., "CA", "TX"). city: City name to search in. zip_code: 5-digit ZIP code to search near. facility_type: Type of facility — "health" (medical centers/clinics), "benefits" (regional benefits offices), "cemetery" (national cemeteries), or "vet_center" (readjustment counseling). Default "health". limit: Maximum number of results (default 25, max 200).
    Connector
  • Retrieve a shipment document (commercial invoice) as binary PDF. **IMPORTANT:** This tool returns only metadata (content type and size) because MCP cannot transmit binary data. For usable document links, prefer calling `get_shipment` with `format="URL"` instead — it returns clickable download URLs. Only use this tool if you specifically need to confirm a document exists or check its file size. Required authorization scope: `public.shipment_document:read` Args: easyship_shipment_id: The Easyship shipment ID, e.g. "ESSG10006001". document_type: The type of document to retrieve. Must be "commercial_invoice". page_size: Page size for the document: "4x6" or "A4". Default: "A4". Returns: Metadata only (content type and size). For downloadable URLs, use `get_shipment` with format="URL".
    Connector
  • Search FDA enforcement actions (recalls) for drugs, devices, and food across all companies. Filter by company name (fuzzy match), recall classification (Class I=most serious/Class II/Class III), date range, or status (Ongoing/Terminated). Returns recall details including product description, reason, and distribution pattern. Related: fda_recall_facility_trace (trace a recall to its manufacturing facility by recall_number), fda_ires_enforcement (iRES recall data with cross-references), fda_device_recalls (device-specific recall data).
    Connector
  • 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).
    Connector
  • Search for recalled products similar to your query. This tool searches DeepRecall's global product safety database using AI-powered multimodal matching. Provide a text description and/or product images to find similar recalled products. Use Cases: - Pre-purchase safety checks: Before buying, verify if similar products were recalled - Supplier vetting: Check if a supplier's products have safety issues - Marketplace compliance: Verify products against recall databases - Consumer protection: Identify potentially hazardous products Data Sources: - us_cpsc: US Consumer Product Safety Commission - us_fda: US Food and Drug Administration - safety_gate: EU Safety Gate (Europe) - uk_opss: UK Office for Product Safety & Standards - canada_recalls: Health Canada Recalls - oecd: OECD GlobalRecalls portal - rappel_conso: French Consumer Recalls - accc_recalls: Australian Competition and Consumer Commission Cost: 1 API credit per search Args: content_description: Text description of the product (e.g., "children's toy with small parts") image_urls: List of product image URLs for visual matching (1-10 images) filter_by_data_sources: Limit search to specific agencies (optional) top_k: Number of results (1-100, default: 10) model_name: Fusion model - fuse_max (recommended), fuse_flex, or fuse input_weights: Weights for [text, images], must sum to 1.0 api_key: Your DeepRecall API key (optional if provided via X-API-Key header) Returns: Search results with matched recalls, scores, and product details Example: search_recalls( content_description="baby crib with drop-side rails", top_k=5 )
    Connector
  • WHEN: user asks whether a D365 requirement is standard, needs config, needs an extension, or is a full gap. Also triggered by gap analysis or fit/gap classification of a Work Item. GAP / FIT CLASSIFIER -- Analyse a D365 F&O requirement (from an ADO Work Item OR plain text) and classify it as one of four verdicts: [OK] Standard Fit -- D365 covers this out-of-the-box, no dev needed [gear] Config Fit -- D365 has it but requires parameter / profile setup Extension Fit -- Standard process exists; a CoC/event-handler is enough [X] Gap -- No standard coverage; custom development required For each requirement block the tool returns: -- Detected D365 domain (Settlement, PaymentJournal, DataImport, ...) -- Standard objects found in KB and their process step -- Existing extensions in the custom model (if D365_CUSTOM_MODEL_PATH is set) -- Effort estimate (hours) and a one-paragraph reasoning Triggers: 'analyse the requirement', 'is this a gap or fit', 'gap analysis WI #N', 'standard or custom for WI #N', 'does D365 cover this'. [~] When a WI has already been analysed by `ado_analyze_workitem` in the same turn, pass the requirement text directly via `requirementText` -- do NOT re-fetch with `workItemId`.
    Connector
  • Explain the Guard product using CurrencyGuard's approved product and FAQ content. Use this for any question about what the Guard is, how it works, who it is for, how it compares to forwards or options, and for any legal, regulatory, accounting, or eligibility question. Do not answer those questions from memory — always call this tool.
    Connector
  • Get regulatory obligations - specific requirements extracted from regulations. Each obligation includes the requirement text, applicable article reference, deadline, which entity types it applies to, actor roles, and current status. Results are paginated (max 50 per page). Supports keyword search via the query parameter (trigram + ILIKE matching on obligation text). Combine with regulation, entity_type, and actor_role filters for precise results. Set canonical=True to get deduplicated canonical obligations with enforcement intelligence instead. Canonical obligations return one entry per unique legal requirement per actor role, with compliance difficulty and enforcement metrics. Use get_actor_roles first to discover available actor roles per regulation. Args: entity_type: Filter by entity type code (e.g. 'credit_institution', 'payment_institution'). regulation: Filter by regulation code (e.g. 'dora', 'mica', 'aml'). status: Filter by status: 'upcoming', 'active', 'overdue', or 'expired'. query: Keyword search on obligation text (e.g. 'ICT risk', 'strong customer authentication'). actor_role: Comma-separated actor roles to filter by (e.g. 'credit_institution,significant_institution'). Use get_actor_roles to see available roles. canonical: If True, return deduplicated canonical obligations with enforcement intelligence instead of raw obligations. page: Page number (default 1). per_page: Results per page (default 20, max 50).
    Connector
  • Search the National Drug Code (NDC) directory by labeler company, brand name, product NDC, or application number. Returns labeler name, brand name, generic name, dosage form, route, active ingredients, DEA schedule, listing type, and packaging details. Drug products are not linked by FEI; use this tool with company name to find drugs at a company. Related: fda_search_drugs (application-level data with submissions), fda_drug_labels (full product labeling), fda_search_nsde (NSDE cross-reference).
    Connector
  • <tool_description> Get detailed product information by ID. Alias for nexbid_product. </tool_description> <when_to_use> When you have a product UUID from list_products or nexbid_search. </when_to_use> <combination_hints> list_products → get_product → create_media_buy or nexbid_purchase. </combination_hints> <output_format> Full product details: name, description, price, currency, availability, brand, category, link. </output_format>
    Connector