Extract the 10-character PAN embedded in a GSTIN (positions 3-12, 1-indexed). Throws if the GSTIN is the wrong length or the embedded PAN is malformed. Does NOT verify the check character — use validate_gstin for that.
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271,750 tools. Last updated 2026-07-08 04:47
"A server for finding information about OCR (Optical Character Recognition)" matching MCP tools:
- Return fixture-backed product-page handoff details for one lens, including DynamoDB-sourced optical specs and gated datasheet policy. Product-page/catalog optical fields are not a substitute for sensor-specific FoV; call calculate_field_of_view for the lens/sensor pair. FoV rule: never estimate sensor-specific FoV from catalog fields; use calculate_field_of_view or match_lens_to_sensor. Use read_shopify_products for live product URL, price, availability, variant IDs, and metafields.Connector
- Get full details for a specific villa including description, all photos, amenities, house rules, and check-in/check-out times. Call this when the user wants more information about a property found via search_villas.Connector
- 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")Connector
- Search the web for any topic and get clean, ready-to-use content. Best for: Finding current information, news, facts, people, companies, or answering questions about any topic. Returns: Clean text content from top search results. Query tips: describe the ideal page, not keywords. "blog post comparing React and Vue performance" not "React vs Vue". Use category:people / category:company to search through Linkedin profiles / companies respectively. If highlights are insufficient, follow up with web_fetch_exa on the best URLs.Connector
- Get full details for a single business (listing) by its slug. Call this when the user asks for more information about a specific business. Use the slug from search_businesses results.Connector
Matching MCP Servers
- AlicenseBqualityCmaintenanceCompress OCR-heavy PDFs into dense packed images so agents can work with long visual documents.Last updated31MIT
- Alicense-qualityCmaintenanceMCP server for intelligent circuit diagram recognition, enabling detection of components, text, topology, and netlist from circuit images.Last updated1MIT
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Give your AI agent a phone. Place outbound calls to US businesses to ask, book, or confirm.
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- Get full details for a single broker (agent) by their profile slug. Call this when the user asks for more information about a specific broker. Use the slug from search_brokers results.Connector
- List the renter’s private inbound forwarding aliases on forward.mailbox.bot. These are the unique intake email addresses an operator, assistant, provider, or external agent can forward scans, PDFs, photos, provider notices, notes, and other context-aware documents to so mailbox.bot can build OCR-backed inbound context. Forwarding/emailing attachments here initiates OCR/extraction; this tool discovers the address and does not upload files directly into OCR. The alias is member-scoped, so live and sandbox agent keys for the same member resolve to the same intake address.Connector
- Find info about notable/historic landmarks, towns, and remarkable sites near a coordinate. USE FOR: - "What's near Predjama Castle?" - "Notable landmarks around Ljubljana center" - "Tell me about places near 46.05, 14.51" - Finding historic, cultural, or geographic summaries for an entire area at once. - DO NOT iterate over the results to query individual items again. - One call is sufficient to answer the user's broad geographic inquiry. Combine the results into a single comprehensive summary for the user immediately. NOT FOR: directions, finding specific cafes/shops, raw geocoding.Connector
- Request document scanning (OCR + structured data extraction) for a package. The facility will scan the document and extract text, addresses, dates, and other structured data. Results are available via get_scan_results after processing.Connector
- Reverse a string character-by-character. Unicode-aware — handles emoji and combining characters correctly using Array.from on the iterator.Connector
- Query vulnerabilities for multiple packages in one call — the primary tool for dependency audits, SBOM scanning, and lockfile triage. Pass an array of {name, ecosystem, version} tuples (up to 1000). Each entry in the response corresponds positionally to the input. Each finding includes CVE aliases for chaining to nist-nvd-mcp-server for CVSS scoring.Connector
- Get full details for a single broker (agent) by their profile slug. Call this when the user asks for more information about a specific broker. Use the slug from search_brokers results.Connector
- Get full details for a single business (listing) by its slug. Call this when the user asks for more information about a specific business. Use the slug from search_businesses results.Connector
- Search the web for any topic and get clean, ready-to-use content. Best for: Finding current information, news, facts, people, companies, or answering questions about any topic. Returns: Clean text content from top search results. Query tips: describe the ideal page, not keywords. "blog post comparing React and Vue performance" not "React vs Vue". Use category:people / category:company to search through Linkedin profiles / companies respectively. If highlights are insufficient, follow up with web_fetch_exa on the best URLs.Connector
- Get YouTube Video Transcript Returns the timed transcript (subtitles) of a YouTube video by its 11-character `videoId`. `languageCode` selects the track (e.g. `en`, `de-DE`, `pt-BR`); `type=asr` requests the auto-generated speech-recognition track. Each segment in `transcript[]` carries `startMs`, `endMs`, `snippet`, and a formatted `startTimeText`. The response also includes `availableTranscripts[]` listing every track on the video (language name + code, `type: asr` for auto-generated, `selected: true` for the one returned) so callers can discover what else is available. Use to feed a video's spoken content into RAG/LLM pipelines, generate summaries or chapter outlines, build searchable archives, run translation or accessibility workflows, or analyze talking points across a creator's catalog (pair with the YouTube Channel endpoint to enumerate videos, then fetch transcripts).Connector
- Create Player mnemons (party root, character notes, party notes). For playerKind=CHARACTER, supply parentEntryId (the PARTY mnemon), partyId (CampaignParty.id), and characterId (SessionCharacter id) or the entry will be auto-detached. Players with campaign.write may call this for a party they belong to; GMs may call for any party.Connector
- Fiber optic chromatic dispersion calculator. Computes dispersion coefficient D(λ) in ps/(nm·km), accumulated dispersion (ps/nm) over a fiber span, and dispersion slope for SMF-28, NZDSF, DSF, LEAF, DCF, and ULLSF fiber types. Optionally sweeps a wavelength range (C-band, L-band, or custom). Pure math — instant, zero API calls. Useful for optical network design, DWDM link budget, and dispersion compensation planning.Connector
- Given a natural-language question about which AI tool or API is best for a task (currently transcription, text-to-speech, web search, scraping & browser and ocr & document extraction), return Syftly's ranked recommendation: a citeable summary, a provider table with prices and trade-offs, dated sources, and a confidence label. Optionally pass "category" to disambiguate; otherwise it is detected from the question.Connector
- Extract structured fields from raw invoice TEXT (vendor, number, dates, line items, totals). Free local model, or BYOK a stronger model (api_key) for quality. Returns {ok, invoice}. Caller supplies the text (no PDF/OCR).Connector