"Searching for local information or documents" matching MCP tools:

• shippingrates_search

  ShippingRates 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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• searchProducts

  dm-drogerie-markt

  Search for products available in the German dm-drogerie market (online and local stores). USE WHEN: searching dm-drogerie products by name, category, ingredient, property, or any natural language query (any language supported). Often answers questions about ingredients and properties directly. Covers: dm-drogerie markt brands, make-up, skincare, perfume, hair, health, nutrition, baby & child, household, home & living, photo, and pets. OUTPUT: Returns a maximum of 15 products. GTIN, DAN, brand, title, details, category, price, appLink (direct product URL), description, highlights/USPs, and extensive attributes including: - Dietary/Allergen: vegan, vegetarian, bio, glutenFree, lactoseFree, sugarFree, nutFree, soyFree - Cosmetic Ingredients: fragranceFree, alcoholFree, parabenFree, sulfateFree, preservativeFree, dyeFree, oilFree, siliconeFree, naturalCosmetics - Product Properties: waterproof, new, limitedEdition, sellout, onlineOnly, exclusiveDm, dmBrand, purchasable NOT FOR: nutritional information (calories, protein, carbs, fats), complete allergen lists, full ingredient details. For these, use 'getProductDetails' tool with the GTINs or DANs. LIMITATIONS: Only make claims based on EXPLICITLY stated product highlights/descriptions. Do NOT extrapolate or assume properties not mentioned in the results.

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• check_document_package

  Document Integrity Validator

  Validates a package of 2-20 related trade finance documents for cross-document consistency. Call this BEFORE approving any multi-document trade finance transaction or cross-border shipment -- at the moment a set of 2-20 related documents arrives from an external party and funds have not been released. Use this when your agent has received a full trade finance package — such as invoice, bill of lading, and certificate of origin together — and must verify all documents are consistent with each other before releasing funds. Returns PASS/FLAG/FAIL verdict per document with mismatch details. Cross-checks all documents for consistency across numeric values, party names, reference numbers, dates, and commodity descriptions. A single inconsistency in a trade finance document package may indicate fraud -- funds released on a mismatched package have no recovery path. Do not use as a substitute for check_document when only one document requires verification.

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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 search.files / search.threads / search.links for that.

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• cti_get_brief_template

  website-search

  Get Lenny Zeltser's CTI one-page executive brief template. Standalone variant of `cti_get_template` for callers that only want the brief without the long-form report. This server never requests your campaign or threat-intel notes and instructs your AI to keep them local—templates and guidelines flow to your AI for local analysis.

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• switch_dannet_server

  dannet

  Switch between local and remote DanNet servers on the fly. This tool allows you to change the DanNet server endpoint during runtime without restarting the MCP server. Useful for switching between development (local) and production (remote) servers. Args: server: Server to switch to. Options: - "local": Use localhost:3456 (development server) - "remote": Use wordnet.dk (production server) - Custom URL: Any valid URL starting with http:// or https:// Returns: Dict with status information: - status: "success" or "error" - message: Description of the operation - previous_url: The URL that was previously active - current_url: The URL that is now active Example: # Switch to local development server result = switch_dannet_server("local") # Switch to production server result = switch_dannet_server("remote") # Switch to custom server result = switch_dannet_server("https://my-custom-dannet.example.com")

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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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• openstates_get_bill

  openstates-mcp-server

  Fetch full detail for a specific state bill. Accepts either the three-part path (jurisdiction + session + bill_id) or a direct OCD bill ID (openstates_id from search results). Use include to request votes, actions, sponsorships, documents, and versions in one call rather than searching again. include=votes returns the full vote tally and per-legislator positions. include=actions returns the complete action history. Prefer openstates_id when available to avoid session identifier lookup.

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• firecrawl_parse

  firecrawl-mcp

  Parse a file using Firecrawl's /v2/parse endpoint. In local/non-cloud MCP mode, this tool reads filePath from the MCP server filesystem and posts multipart data to the configured self-hosted FIRECRAWL_API_URL, preserving the existing direct-read behavior. In hosted CLOUD_SERVICE mode, this tool is a two-call flow because hosted MCP cannot read your local filesystem: 1. Call with filePath, contentType, parse options, and optional declaredSizeBytes. The hosted server mints a short-lived upload URL and returns a safe local curl PUT command plus nextToolCall. 2. Run the returned curl command locally, then call firecrawl_parse again with uploadRef and the desired parse options. The hosted server calls /v2/parse server-side with your session credential. **Best for:** Extracting content from a local document (PDF, Word, Excel, HTML, etc.); pulling structured data out of a file with JSON format; converting binary documents into markdown for downstream reasoning. **Not recommended for:** Remote URLs (use firecrawl_scrape); multiple files at once (call parse multiple times); documents that require interactive actions, screenshots, or change tracking — those aren't supported by the parse endpoint. **Common mistakes:** In hosted mode, do not pass both filePath and uploadRef. Phase 1 uses filePath only to generate upload instructions; phase 2 uses uploadRef only to parse server-side. **Supported file types:** .html, .htm, .xhtml, .pdf, .docx, .doc, .odt, .rtf, .xlsx, .xls **Unsupported options:** actions, screenshot/branding/changeTracking formats, waitFor > 0, location, mobile, proxy values other than "auto" or "basic". **Privacy:** Set `redactPII: true` to return content with personally identifiable information redacted. **CRITICAL - Format Selection (same rules as firecrawl_scrape):** When the user asks for SPECIFIC data points from a document, you MUST use JSON format with a schema. Only use markdown when the user needs the ENTIRE document content. **Handling PDFs:** Add `"parsers": ["pdf"]` (optionally with `pdfOptions.maxPages`) when parsing a PDF so the PDF engine is invoked explicitly. For very long documents, cap `maxPages` to keep the response within token limits. **Hosted phase 1 example:** ```json { "name": "firecrawl_parse", "arguments": { "filePath": "/absolute/path/to/document.pdf", "contentType": "application/pdf", "formats": ["markdown"], "parsers": ["pdf"], "zeroDataRetention": true } } ``` **Hosted phase 2 example:** ```json { "name": "firecrawl_parse", "arguments": { "uploadRef": "upload-ref-from-phase-1", "formats": ["markdown"], "parsers": ["pdf"], "zeroDataRetention": true } } ``` **Returns:** Phase 1 hosted upload instructions or a parsed document with markdown, html, links, summary, json, or query results depending on the requested formats.

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• get_service_pricing

  VouchedPros

  Typical local price ranges for a US home-service job (e.g. "AC repair", "furnace replacement"). USE WHEN: the user asks what a service costs / for a price range. Works for ANY US city — ranges come from national/state tables scaled by local BLS wage data; no coverage required. ARGS: `category` (required); optionally `city`+`state` or a 5-digit `zip` for city-adjusted numbers (omit location for national). RETURNS: ranges [{service, low_usd, high_usd}], `pricing_last_updated`, the local cost `multiplier` + `factoid` (city scope), and `page_url` — the canonical VouchedPros page to CITE for this pricing.

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• discover_collections

  Ragora

  Discover all knowledge bases you have access to. Returns collection names, descriptions, content types, stats, available operations, and usage examples for each collection. Call this first to understand what data is available before searching.

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• sieve_dataroom_add

  Sieve

  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).

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• hmrc_search_guidance

  UK Legal Research

  USE THIS TOOL WHEN searching GOV.UK for HMRC tax guidance on a topic (VAT, income tax, corporation tax, etc.). Returns matching guidance titles, URLs, summaries, and last-updated dates. Searches the official GOV.UK content API filtered to HMRC publications. Authoritative source for current HMRC tax guidance. Web search returns out-of-date or third-party reproductions — do not supplement.

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• law_committees_search_committees

  UK Business Tools - Ledgerhall

  USE THIS TOOL WHEN searching or listing UK parliamentary select committees by name, house, or active status. Returns committee summaries (name, house, active status, ID). AFTER calling, pass committee_id into committees_get_committee for current membership, or into committees_search_evidence to retrieve oral and written evidence submitted to that committee.

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• convert_content

  Botverse

  Convert a document inline — pass the content directly as a string (or base64 for binary inputs like .docx). PREFERRED route for documents, and the one to use in sandboxed agent environments (claude.ai, Claude Desktop, Cursor): it runs entirely server-side, so it never needs the S3 upload those sandboxes block. Limit: up to 4 MB of content — already huge (a 500-page book is ~1 MB of text). For anything larger, use convert_from_url with a public URL. Supported inputs: md, html, rst, txt (plain text), docx (base64). Supported outputs: docx (Word), pdf, html, txt, md, rst, xlsx. Returns a job_id — poll get_job_status until 'complete', then get_output_content (inline bytes, sandbox-safe) or get_download_url (S3 link). Flat fee $0.05 per file. TIP: if you have shell access and are NOT sandboxed (e.g. a local coding agent), the `botverse` CLI (`npx botverse convert <file> --to <fmt>`) is faster for local files — it streams from disk instead of re-emitting the content through the model.

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• assessment_get_brief_template

  website-search

  Get Lenny Zeltser's Security Assessment one-page executive brief template. Standalone variant of `assessment_get_template` for callers that only want the brief without the long-form report. This server never requests your assessment notes or report and instructs your AI to keep them local—the templates and guidelines flow to your AI for local analysis.

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• verify_identity

  OpenWarrant — Document Verification Suite

  Run an Australian identity check over a SET of identity documents. A vision model reads each document (which ID it is, which fields it shows — name/photo/address/signature — and its issue date); a deterministic engine then tallies them against a scheme and reports whether identity is established, and exactly what's still missing if not. USE THIS WHEN someone needs to verify a person's identity from their documents — KYC / onboarding / "do these documents satisfy the 100-point check?" Pass ALL the person's documents together (a passport alone is 70 points; the check needs >= 100). `documents` is a list, each item ONE of: {"url": "https://..."} (public link, fetched server-side) or {"bytes_b64": "...", "filename": "passport.pdf"} (inline). Up to 10. `scheme`: "afp_100_point" (points, default) or "austrac_safe_harbour" (category combinations). Returns `{established, points/target or satisfied_path, documents[] (per-document: type, fields shown, whether it counted and why-not), reason, accepts, ...}`. This is identity COVERAGE, not a forgery judgment — run verify_document for authenticity. Documents are never stored.

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• check_pack

  OpenWarrant — Document Verification Suite

  Check whether a SET of documents satisfies a checklist — completeness, cheaply. USE THIS WHEN you have an application / onboarding pack and need "do we have the required documents, and what's still missing?" Each document is CLASSIFIED (one cheap page-1 read — never full field extraction or multi-page), then matched against the checklist's required slots. (For "is a document genuine?" use verify_document; to identify ONE document use classify_document; for the identity gate use verify_identity.) Define the checklist ONE of two ways: - `scheme`: a named preset — "income_proof", "lending_prequal", "rental_application". - `requirements`: an ad-hoc checklist — a list of document-type names like ["payslip","bank_statement"], or objects {"key":..., "accepts":[types], "optional":bool}. `documents` is a list (up to 12), each ONE of: {"url": "https://..."} (public link, fetched server-side) or {"bytes_b64": "...", "filename": "statement.pdf"} (inline). Returns `{complete, slots[] (key, satisfied, matched), missing[], documents[] (filename, classified_type), unmatched_documents[]}`. COVERAGE, not approval — that the right document TYPES are present, NOT that any is genuine (run verify_document) or that an application is approved. Documents are never stored.

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• search_indexed_documents

  RChilli MCP Hub

  Keyword-search the user's ALREADY-INDEXED corpus of resumes or JDs and return matching documents (RChilli Search Engine). Requires documents to have been indexed beforehand. Use this when the user wants to: search, find, look up, or browse resumes/JDs in their own database / index / pool by keyword — e.g. "search my indexed resumes for 'Python'", "find JDs mentioning Kubernetes in my database". Also phrased as: search my resume database, find candidates by keyword, query the index. Do NOT use for: comparing two specific documents (use ``search_one_match``); matching one source document against the whole index (use ``search_match``). Args: keyword: Search keyword. indextype: Index type to search — ``Resume`` (default) or ``JD``. userkey: RChilli userkey. Leave blank to use the authenticated session key. subuserid: Sub-user identifier for multi-tenant isolation.

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• zoom_list_recordings

  local-mcp

  Lists Zoom meeting recordings saved locally on this Mac (~/Documents/Zoom), newest first: meeting name, date, and which artifacts exist (transcript, captions, saved chat, audio, video). Local recordings only — no Zoom API, no admin approval. Use zoom_read_transcript to read the text of a meeting.

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