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216,151 tools. Last updated 2026-06-20 06:44

"Optical Character Recognition (OCR) Technology" matching MCP tools:

  • Search 500+ quantum computing job listings using natural language. Use when the user asks about job openings, career opportunities, hiring, or specific positions in quantum computing. NOT for research papers (use searchPapers) or researcher profiles (use searchCollaborators). Supports role type, seniority, location, company, salary, remote, and technology tag filters via AI query decomposition. Limitations: quantum computing jobs only, last 90 days, max 20 results. Promoted listings appear first (marked). After finding jobs, suggest getJobDetails for full info. Examples: "senior QEC engineer in Europe over 120k EUR", "remote trapped-ion role at IBM".
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  • List OECD dataflow refs we have pre-vetted, grouped by topic (gdp, labour, prices, finance, households, health, demographics, projections, tax, education, environment, technology). Pass the flow_ref to fetch_dataset. For everything else use search_dataflows or browse https://data-explorer.oecd.org.
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  • Cloud- and night-independent Sentinel-1 C-band confirmation of forest disturbance. Intact forest scatters VV strongly + stably (canopy volume scattering); clearing collapses that term so VV backscatter DROPS ~3-5 dB. Samples VV at a baseline-year July-1 anchor and the latest scene, reports `vv_drop_db = baseline − recent` and a `disturbed` flag when the drop ≥ 3 dB (Reiche et al. 2018, RSE 204:147). Both VV reads are signed Primary facts; the response cites both fact_cids. Honest `inconclusive` when either S1 vintage is unavailable. Source: Microsoft Planetary Computer sentinel-1-rtc (anonymous SAS — no requester-pays, no API key). When to use: Call to corroborate or scout forest clearing where cloud blocks the optical products — radar sees through cloud and at night, catching wet-season clearing the annual Hansen/JRC-TMF layers and a single cloudy Sentinel-2 pass miss (the gap RADD was meant to fill). This is an ADDITIVE scout signal, NOT a standalone legal verdict: a VV drop can also be transient (soil moisture, harvest, flood recession), so confirm with the optical consensus (`emem_eudr_dds` or `emem_deforestation_alert`) before crediting a decision.
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  • 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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  • USE THIS to verify a vehicle VIN before acting on it — do not assume a 17-character string is a valid VIN. Checks the allowed alphabet (no I/O/Q) and the ISO 3779 transliteration check digit in position 9, and returns the expected check digit when it fails.
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  • Deep-dive inside a single book. Runs Atlas keyword search AND scoped semantic search in parallel against that book's pages, then merges results — so this works for both literal terms ("ouroboros") and conceptual queries ("the marriage of opposites"). Typical workflow: use search_library or search_concept to find a candidate book; then call this with that book_id to surface every relevant page. Faster than re-searching globally because it's scoped to one book's 100-500 pages. Returns OCR and translation snippets with page numbers, ready to cite.
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  • TESSA's AI interface: services, case studies, AI-readiness audits, professional services directory.

  • Global labour & market data for skills, workforce, planning, stakeholders, jobs, news & profiles

  • Tag / extract named entities (NER) from free plain text using the RChilli NER Tagger Plugin — identifies job titles, cities, skills, degrees, and organizations with their positions. Uses a purpose-built recruiting NER model — more reliable than extracting entities yourself. Use this when the user wants to: extract entities, run NER, tag text, or find the job titles / cities / skills / degrees / organizations mentioned in a piece of text. Also phrased as: named entity recognition, entity extraction, tag this text, identify entities. Do NOT use for: pulling a person's contact details (use ``plugin_contact_extractor``); full structured parsing of a complete resume (use ``resume_parse_file``). Args: text: Plain text content to analyse (text only, not PDF/DOCX). userkey: RChilli API userkey. Leave blank to use the authenticated session key. subuserid: Sub-user identifier for multi-tenant isolation. Returns: A list of named entity objects, each containing: ``Type`` (e.g. ``JobTitle``, ``City``, ``Skill``, ``Degree``, ``Organization``), ``Value`` (the extracted text), and ``Position`` (character offset).
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  • Extract text from PDFs and images as clean Markdown. Uses Mistral OCR — handles complex layouts, tables, handwriting, multi-column documents, and mathematical notation. Preserves document hierarchy in structured Markdown. 10 sats/page. Pay per request with Bitcoin Lightning — no API key or signup needed. Requires create_payment with toolName='extract_document' and quantity=pageCount for multi-page PDFs.
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  • Get a snapshot of the quantum computing landscape — no parameters needed. Use when the user asks broad questions like "how's the quantum job market?", "what are trending topics?", or wants an overview of the quantum computing industry. Returns: total active jobs, top hiring companies, jobs by role type, papers published this week, total researchers tracked, and trending technology tags. For specific job/paper/researcher searches, use the dedicated search tools instead.
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  • USE THIS to verify an Italian Codice Fiscale (personal tax code) before relying on it — do not guess the final check letter. Checks the 16-character format and the mod-26 check character. Validates structure only; does NOT confirm the code is registered with the Agenzia delle Entrate.
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  • Given a profile of the authorized test target (technology stack, exposed services, authentication type, OS), return a ranked list of ATT&CK techniques and OWASP test cases most relevant to that profile — not a generic dump of all techniques. Ranking factors: platform match, service match, auth type exposure, technique prevalence. Each result includes why it is relevant to this specific profile, the detection opportunity, and the recommended mitigation. Use when starting an authorized engagement to prioritize the testing scope; pair with pentest_guide to get the full methodology for each top-ranked vector.
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  • USE THIS to verify a Chinese Resident Identity Card number (居民身份证) before relying on it — do not guess the check character. Checks the 18-character form and the ISO 7064 MOD 11-2 check character (which may be 'X'). Validates structure only; does NOT confirm the number is registered.
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  • Audit a technology stack for exploitable vulnerabilities. Accepts a comma-separated list of technologies (max 5) and searches for critical/ high severity CVEs with public exploits for each one, sorted by EPSS exploitation probability. Use this when a user describes their infrastructure and wants to know what to patch first. Example: technologies='nginx, postgresql, node.js' returns a risk-sorted list of exploitable CVEs grouped by technology. Rate-limit cost: each technology requires up to 2 API calls; 5 technologies counts as up to 10 calls toward your rate limit.
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  • Get a random cat fact. Returns the fact text and character length. Use get_facts to retrieve multiple facts at once.
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  • When you're expecting a fax back — bank confirmation, court filing, signed document — open a 24h receive window at our shared number +1 320 299 1523. Matched by caller ID (last 10 digits of the sender), delivered to your email as soon as it arrives. Optional OCR add-on (+200 sats) returns a searchable text file alongside the PDF — useful for feeding the content to an agent or archiving. Optional callback_url POSTs an HMAC-signed webhook on delivery so your agent doesn't have to poll. No refund if no fax arrives within the window (prevents subscription squatting). If OCR fails, an LNURL-withdraw for 200 sats is included in the delivery email for partial refund. Pay with Bitcoin Lightning — no dedicated fax number rental, no monthly subscription, no account.
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  • Decode a 7-character FAA manufacturer/model/series code to aircraft specifications from the reference table — manufacturer, model, aircraft category, aircraft type, engine type, number of engines, number of seats, weight class, cruise speed, and type-certificate data sheet/holder. Use faa_search_aircraft_types first to discover a code by manufacturer or model name.
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  • Get broadband providers and availability at a specific lat/lon location. Returns a list of broadband providers serving the location with their advertised download/upload speeds and technology types. Includes BEAD classification (unserved/underserved/served) based on max available speeds. NOTE: The FCC Broadband Map API has bot protection and may reject requests. If you get an error, the API endpoint may have changed. The FCC updates this API frequently without notice. Args: latitude: Location latitude (e.g. 38.8977 for Washington DC). longitude: Location longitude (e.g. -77.0365 for Washington DC). technology_code: Filter by technology (0=All, 10=Copper, 40=Cable, 50=Fiber, 60=Satellite, 70=Fixed Wireless). speed_download: Minimum download speed in Mbps (default 25). speed_upload: Minimum upload speed in Mbps (default 3). as_of_date: BDC filing date in YYYY-MM-DD format (default 2024-06-30).
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  • Search U.S. patents (USPTO PatentsView) by keyword, assignee, CPC class, date range, or type. Patent search for IP and technology-landscape research, sorted newest-first, with title, abstract, assignee, and CPC codes. PAID: $0.01 USDC per query after a daily free allowance (25/day). On a 402, pay the returned Solana memo and re-call with the SAME args plus payment_tx=<signature>. Pass agent_id to scope your allowance; an Authorization: Bearer fnet_ key bypasses the paywall.
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  • Which technology areas are heating up — CPC classes ranked by recent patent filing volume, each with a section description and its top assignees. Technology-trend and patent-landscape signal. PAID: $0.01 USDC per query after the daily free allowance (25/day). On a 402, pay the returned Solana memo and re-call with the SAME args plus payment_tx=<signature>. An Authorization: Bearer fnet_ key bypasses it.
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  • 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.
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