Run optical character recognition on an image (png, jpg, webp, bmp) and return the recognized text with a confidence score. Supports 100+ languages via the language parameter (ISO 639-2 codes like 'eng', 'deu', 'fra', 'spa').
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758,937 tools. Updated 2026-11-08 04:44
"A server for finding information about OCR (Optical Character Recognition)" matching MCP tools:
- Image to Text: Image to Text is an OCR and image to text API that extracts text from image files or remote image URLs using optical character recognition. Upload a JPG, PNG, or GIF up to 5 MB to receive the raw extracted text. (Cost: 10 credits)ConnectorAPI key
- Discover content franchises within a domain. Two modes: pass `tag` for a precise taxonomy match (every game tagged 'co-op'), or pass `query` for free-text SEMANTIC search powered by pgvector embeddings — finding franchises by meaning ('dark atmospheric games about isolation') even when no literal tag matches. Results are verifiable: tag mode carries tag confidence/corroboration, semantic mode carries a similarity score; both carry entity freshness. When to use: an agent wants a domain-scoped shortlist by tag or by intent. Inputs: a domain plus either a tag or a free-text query.ConnectorNo auth
- Discover content franchises within a domain. Two modes: pass `tag` for a precise taxonomy match (every game tagged 'co-op'), or pass `query` for free-text SEMANTIC search powered by pgvector embeddings — finding franchises by meaning ('dark atmospheric games about isolation') even when no literal tag matches. Results are verifiable: tag mode carries tag confidence/corroboration, semantic mode carries a similarity score; both carry entity freshness. When to use: an agent wants a domain-scoped shortlist by tag or by intent. Inputs: a domain plus either a tag or a free-text query.ConnectorNo auth
- Discover content franchises within a domain. Two modes: pass `tag` for a precise taxonomy match (every game tagged 'co-op'), or pass `query` for free-text SEMANTIC search powered by pgvector embeddings — finding franchises by meaning ('dark atmospheric games about isolation') even when no literal tag matches. Results are verifiable: tag mode carries tag confidence/corroboration, semantic mode carries a similarity score; both carry entity freshness. When to use: an agent wants a domain-scoped shortlist by tag or by intent. Inputs: a domain plus either a tag or a free-text query.ConnectorNo auth
- Texto INTEIRO do edital em markdown (com marcadores '## Página N'), pra você RESUMIR ou ler o documento todo. Mantém o link de download do PDF no retorno. A partir de cnpj+ano+sequencial (referência da pncp_buscar). Editais muito grandes vêm truncados (use de_pagina/ate_pagina). Documento escaneado retorna aviso (OCR pendente).ConnectorNo auth
Matching MCP Servers
- AlicenseAqualityDmaintenanceAn MCP server that provides information about Utkarsh, including bio, skills, work experience, and portfolio projects, accessible via local stdio or remote HTTP with OAuth.6MIT
- AlicenseBqualityBmaintenanceCompress OCR-heavy PDFs into dense packed images so agents can work with long visual documents.31MIT
Matching MCP Connectors
Optical education, prescription transposition, horizontal decentration and approximate prism. PT/EN.
About Bureau, the self-hosted office for AI agents: overview, FAQ search, roadmap, install.
- Returns the plain-language meaning and step-by-step fix for one Malinois finding. Use it while helping the user fix an issue reported by scan_app, or when they ask what a finding means. Pass the rule_id exactly as scan_app returned it. Read-only, no network, instant.ConnectorNo auth
- 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.ConnectorNo auth
- Maps only stable Tier1 finding identifiers to approved Tier1 services and public resources. Call after a Tier1 score or email-domain check. Do not submit prose, URLs, customer information, or invented identifiers. This tool performs no arbitrary fetching, makes no contact request, changes nothing, and stores nothing.ConnectorNo auth
- PAID (standard 1K: 60 credits; 2K: 100; 4K: 150; premium models may differ). Generate a NEW character from a text prompt. This is the entry point for building art from nothing — call create_project first if the user has no project. Artwork is strictly text-free by default: no labels, captions, lettering or pseudo-text; only specific intrinsic writing explicitly requested by the user is permitted. IMAGE ONLY: it produces the character still, not animations. Animation is a separate explicit step (generate_character_animation for a walk cycle, generate_character_turn for the 360 rotation), because animating costs several times more and the user should choose it. BY DEFAULT it requests FOUR DESIGN VARIATIONS FOR THE SAME PRICE, matching the dashboard. Set generateFourVariations:false only when the user explicitly wants one character. gridRows:2 + gridCols:2 remain the legacy trigger for the same four-character mode; one image call is split by complete character silhouettes, never fixed cells. Four is the expected count, but any result with at least two separate silhouettes succeeds; every clearly separated full character is preserved whether two, three, or more than four are found. Zero or one means the sheet was not extractable and refunds. Show the user every result and let them pick. Returns { jobId, expectedCharacterCount } — poll get_job; on status:"done" its characterIds and characterPreviews tell you which characters exist and what they look like. gameType defaults from the project but can be overridden for this character. Use topdown for the Top-Down Angled character pipeline, including characters intended for isometric projects. Passing isometric is accepted as an alias and creates a topdown character because that is the measured working directional pipeline. The STORED CHARACTER gameType — not the project gameType — controls every later animation and whether a user-facing 360 turn is available. A topdown character inside a platformer project therefore keeps the top-down directional pipeline and supports generate_character_turn. DEFAULTS TO A COST PREVIEW — see the dryRun argument.ConnectorNo auth
- No arguments. Returns how many MCP servers have been read at source level, and the share of them with each category of finding (credential access, network egress, install-time execution, prompt-injection surface). Use this to judge whether checking a specific server is worth it before you look one up. It reports aggregate counts only - no per-server findings, and no verdict about any individual server.ConnectorNo auth
- Staff headcount and list for one GDC facility, from a GDC-produced roster. Answers "how many staff work at X", "how many officers work there", "list the staff at X". `slug` is the facility slug, e.g. 'dooly-state-prison' (use list_facilities to find it). `title` optionally filters by job title. GDC abbreviates heavily: correctional officers appear as "Correctional Ofc", clerical staff as "Admin Support" or "Admin Assistant". Try both the plain word and the abbreviation. ALWAYS report the `observed` date alongside any figure from this tool. A roster is a single-day observation, not a statement about who works there today. A zero for a role is a finding about the roster rather than missing data: the roster holds no nursing, physician or dental titles anywhere in GDC, which is consistent with medical staffing being contracted rather than directly employed. Do not assert that reason as established fact.ConnectorNo auth
- Extract and verify structured evidence from exactly one authorized artifact, prior SITEBORNE upload, or public document URL. Use when: the source of truth is a PDF or supported image and the desired result is evidence JSON. Do not use when: a webpage alone is sufficient (use siteborne_retrieve_verified_web_context), company-wide public evidence is needed (use siteborne_build_company_evidence_graph), or an existing agent response needs evaluation (use siteborne_verify_agent_output). Parameters: provide exactly one reference mode: artifact_reference (an authorized stored artifact), upload_reference (a prior SITEBORNE upload handle, not document bytes) or document_url (a public URL, no credentials). ocr_permission must be true before image-based content is read by OCR, and OCR pages bill at the OCR tier; extraction_request.extract_tables and table_extraction_request request table extraction, and pages with tables bill at the table tier; declared_page_count and page_range are bounded by the page limit below; maximum_authorized_price only constrains payment. Behavior: open-world: a paid request may read governed artifact storage or fetch a public document URL, calls the document provider, and persists payment, audit, job and Workflow state; an unpaid request returns payment_required; a repeated identical request with the same payment is replay-protected and is not charged twice. This service is currently production-disabled and rejects execution. Economics: upto pricing: the payment challenge authorizes a maximum of $0.19 USD per job; the actual charge is measured per processed page (native-text $0.0098, OCR $0.0156, table $0.0238 per page, the highest applicable tier per page) and never exceeds the authorization. The authorization is a ceiling, not the charge. Documents are limited to 10 pages per job. Failure: schema-invalid input is rejected before any payment challenge; a document over the page limit, an unreadable or encrypted document, or an unavailable provider returns a structured MCP error. Returns: extracted document evidence, integrity/provenance findings, and PCC verification—not an uploaded file.ConnectorNo auth
- Create a character sheet for a human, animal or creature in the cast register. The backend derives an English `prompt_prefix_en` from the fields you give — that prefix is what later describes this character in every image, so the richer the description, the more stable the identity. This is step 1 of 2: a fresh sheet has NO reference image and is therefore not yet usable as `character_refs`. Run lab_generate_character_reference on the returned id to finish it. Free — it writes a row, it burns no credits.ConnectorOAuth
- Search China Footnotes for sights and neighbourhoods in the Chinese cities it covers. Matches English or Chinese names, aliases, district, type and tags. Suited to questions about what to see or do in a city, and to finding a place's id from its name. With no arguments it lists places and the city ids covered; asked about a city it does not cover, it says so rather than returning unrelated places. Returns short summaries with ids and page links, best match first; matchedAll is false when no place matched the whole query and the results only share some words with it. Opening hours, tickets, booking and traveler tips come from get_place.ConnectorNo auth
- Find 10ML's perfume and fragrance guides to read or cite: how-tos (where to spray, finding a signature scent, making perfume last), notes explained, house guides, lists, and alternatives guides that compare famous perfumes with similar ones from other houses. Returns title, type and a link per locale. Use whenever you want a source to cite or a deeper read ('how to layer perfume', 'best oud perfumes', 'Creed Aventus dupes guide'). Not for facts about a perfume (use get_perfume) and not for note definitions (use explain_note).ConnectorNo auth
- List security/safety findings for your workspace, most recent first. Optionally filter by status, target model, minimum severity, or a specific run. Returns a compact summary; call get_finding for the repro detail of any one finding. On a plan that withholds a finding's proof, category reads '[redacted]' and get_finding returns the same — the finding and its severity are real, the evidence is withheld. Paginated: 200 findings per page (max 200). The result carries total_matched and, when there is more, next_cursor: pass it back as 'cursor' with the same filters (it is bound to them) to read the next page, until it is absent.ConnectorOAuth
- PDF text. Send a public PDF URL or the file as base64 (up to 10 MB); returns the plain text of each page, the page count, the title and a truncated flag (first 200 pages and 2,000,000 characters). Use to read reports, papers, filings or invoices. No OCR: scanned pages come back empty (send page images to /v1/ocr); encrypted PDFs are refused. Typical response 1 to 5 s. Failed calls are not charged. Costs $0.0099 (USDC, x402).ConnectorNo auth
- Generate one reference-image candidate for a character in a series and return { name, outfit, referenceUri, previewUrl } when it is ready (it waits; no job to poll). Generation takes close to 30 s; if the request times out it checks for the finished image itself. If it is still not done it names a requestId: check it with get_character_reference (free) rather than starting a new request. The candidate is not saved on the character: to keep it, set that character's referenceImageUri with save_flow. name must match a character in the series that has a visual description. Spends Galatic.AI credits for one image (402 when the budget is short). seriesId is the flowId of the Flow Studio flow that holds the series (from list_flows).ConnectorOAuth
- Performs semantic search across persistent long-term memory to retrieve grounded facts, relevant citations, and source documents matching a natural language question. Use this tool when answering questions about previously saved project specifications, codebase decisions, user preferences, or documents. Do NOT use for saving new facts (use icx_remember), do NOT use for raw keyword lookup (use icx_search_facts), and do NOT use for exact character-for-character verbatim quotes (use icx_quote_slot). Read-only operation with zero side effects. Requires X-License-Key authentication.ConnectorNo auth
- Call this when a PDF's text cannot be extracted, selected, or searched -- typically a scanned document or a photo of a page saved as PDF. It runs OCR and returns a new PDF with a real, selectable text layer; the original file is not modified. Do NOT use this to convert a PDF to Word or Excel -- pdf_to_word already runs OCR internally on scanned pages, so call ocr_pdf only when you need the output to stay a PDF (e.g. to make it searchable, or before another PDF-only tool). If the PDF already has a usable text layer, OCR is skipped automatically, ocrApplied is returned false, and message explains that no OCR was needed -- relay that message to the user rather than assuming OCR ran. Pass forceOcr: true to force a full re-recognition pass anyway (useful if the existing text layer is garbled). Supports 15 languages in a single pass. Use list_files or upload_from_url to obtain the fileId first.ConnectorOAuth