"Optical Character Recognition (OCR) Technology" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
AudD MCP is a way for agents to add music recognition to apps or to fulfill song identification requests. It connects you to AudD, the music recognition API
Live data on millions of companies worldwide, read from their own websites, job boards and public registers: what they do, where they operate, their tech stack, funding rounds and investors, and how fast they grow. Find companies by industry, country, size, founding year, funding stage, investor or technology; get lookalikes of any company with the reasons; research one company in depth; search verified job postings and pay statistics. Read-only, OAuth sign-in; compact lists are free up to 50 a day, full profiles and statistics are paid from Alion credits.
PDF tools for AI agents: validate, extract, merge, split, compress, OCR, sign and redact. 17 tools including PDF/A validation, accessibility check, signature verification, text extraction, PII scanning, AI summarize/translate, merge, split, compress, Office conversion, OCR, digital signing, redaction and workflow runs. OAuth 2.1 protected; usage metered in API credits.
All public upAPI operations as MCP tools: web scraping, search, screenshots, PDF, OCR and more.
0bull Phone Farm is a remote HTTP MCP server for managing real physical iPhones. It covers posting accounts on TikTok, Instagram, and YouTube; video submissions; phone commands; raw touch input; screenshots; OCR; macros; GUI-agent tasks; and phone rental and billing flows. OAuth authorizes the user in a browser, and each call is scoped to the user's own accounts and phone grants. Phone-touching work is asynchronous because it runs on a real handset. The server returns an acknowledgement, then t
Turn documents into structured data with Extend: parse (OCR to markdown), extract fields, classify, split multi-document bundles, and fill PDF forms.
Your agent needs to know what a site is built on and who owns it — or to find every site running a given technology. **What you can ask for** • "What is this site built on — CMS, analytics, payments, CDN?" • "Find every domain running Shopify in Germany." • "Who owns this domain, and when does it expire?" • "How many sites use this technology, and is that growing?" • "Find domains whose HTML contains this snippet." **How to use it** Point any MCP client at https://mcp.aisa.one/seo-domains/mcp and sign in with OAuth — there is no key to create or paste. 12 tools: technology detection for one domain, domains by technology, domains by HTML term, technology stats and aggregations, plus whois overview and its filters. **Why this rather than the source** Prospecting by tech stack and ownership lookup in the same call shape. **It is also a door to the rest** The same login reaches 26 sources and 580+ operations. Find the stack here, then ask the same agent for that company's traffic and the people to contact — without adding a second server. **What it costs** Finding and inspecting an operation is free. Running one is billed per call at API prices, with no seat and no monthly minimum, and every call takes max_price_usd so an agent cannot overspend by accident. **Where else it reaches** https://mcp.aisa.one/sales/mcp turns a technology list into a contactable pipeline. https://mcp.aisa.one/seo/mcp for all of it at once — rankings, keywords, backlinks, site health and AI-answer visibility across DataForSEO, Semrush and Ahrefs.
# **RChilli MCP Hub** RChilli MCP Hub is a production-grade MCP server that exposes RChilli's full HR data intelligence platform as 17 AI-callable tools across 4 categories. Built on 15+ years of HR data intelligence, it is trusted by ATS vendors, HR technology platforms, staffing agencies, and enterprise recruiting teams worldwide. Every tool is read-only and returns a consistent, structured JSON response — no raw exceptions, no inconsistent formats. <br> --- <br> # **Tools — 17 Total** userkey and subuserid are injected automatically from your Bearer token — you never need to pass them manually. <br> --- <br> # **🔍 Resume & Job Description Parsing — 3 tools** <br> > ### **`extract_resume_data`** > > Extracts and converts resumes, CVs, and candidate documents into structured, searchable profiles with contact details, skills, experience, education, certifications, and taxonomy-enriched data for ATS, HCM, and AI recruiting workflows. When used on a careers page or application form, the same extraction call auto-fills every application field in under 10 seconds — documented to increase candidate conversion by up to 194%. Supports 40+ languages with English-normalized output for global intake, and runs in batch mode to process legacy databases or migration backlogs overnight at scale. Also supports resume reprocessing — re-running previously extracted resumes through the latest extraction logic and taxonomy version to bring older records up to current data quality, without requiring a new document from the candidate. Distinct from bulk import (first-time extraction of a new batch) and from talent data refresh (re-enrichment from a newer submitted resume). <br> > ### **`extract_resume_data_from_url`** > > Accepts a direct URL to a PDF, DOCX, or RTF file and returns the same normalized JSON profile as the Resume Data Extraction tool. Ideal for pipeline automation where resumes are stored in cloud storage, S3, or email attachments. Also supports the same auto-fill, multilingual, and batch-processing capabilities as the core extraction tool for URL-based intake sources. <br> > ### **`extract_job_data`** > > Extracts and converts job descriptions into structured hiring data including job title, required skills, preferred skills, responsibilities, experience, education, and taxonomy-normalized role requirements for recruitment automation and candidate matching. <br> --- <br> # **🧠 Skills & Job Taxonomy — 4 tools** <br> > ### **`lookup_skill`** > > Returns authoritative detail for a known skill including description, all aliases, related skills, proficiency levels, and O*NET/ESCO mappings. Use when you need the complete record rather than a ranked search. <br> > ### **`lookup_job_profile`** > > Returns authoritative detail for a known job profile including canonical title, SOC/O*NET code, job family, typical required and preferred skills, salary bands, and work context. <br> > ### **`autocomplete_skill`** > > Accepts a partial skill string (min 2 chars) and returns up to 10 ranked autocomplete suggestions with canonical names and categories. Prevents free-text entry errors and keeps skill data clean at point of entry. <br> > ### **`autocomplete_job_profile`** > > Accepts a partial job title string and returns ranked autocomplete suggestions with canonical titles and job families. Ensures job titles map to taxonomy profiles from the moment a recruiter starts typing. <br> --- <br> # **🛡️ Redaction, Documents & Utilities — 7 tools** <br> > ### **`redact_resume`** > > Redacts personally identifiable information from candidate profiles to support anonymized review, bias-aware screening, compliance workflows, and audit logs. Configurable redaction scope. Idempotent. <br> > ### **`reformat_resume_with_template`** > > RChilli's Resume Reformatting tool accepts any structured candidate profile and applies one of six branded templates (TM001–TM006) to produce a consistently formatted output document in PDF, DOCX, RTF, or HTML — ensuring every candidate is presented in a standardized, professional layout regardless of how their original resume was structured. Designed for staffing firms, recruitment agencies, and enterprise HR teams who need to control candidate presentation at scale, it eliminates manual reformatting effort and enforces brand consistency across all submissions. <br> > ### **`convert_document_format`** > > Accepts a document as base64 or URL and converts between PDF, DOCX, RTF, HTML, and plain text. Preserves formatting fidelity. Useful as a pre-processing step before data extraction on non-standard file types. <br> > ### **`tag_entities`** > > RChilli's Named Entity Recognition tool takes already-extracted HR text and annotates it by wrapping each recognized entity in a structured XML-style label inline — returning output such as `<job_title>Senior Data Engineer</job_title>`, `<skill>Python</skill>`, `<city>Austin</city>`, `<degree>Bachelor of Science</degree>`, and `<organization>Google</organization>` — covering 10+ HR-specific entity types including person name, state, country, date, and year. Unlike data extraction tools that produce separate field lists, tag_entities preserves the full original text structure with entities labeled in place, making the output immediately consumable by ATS field-mapping pipelines, candidate profile builders, and content annotation workflows without any offset calculation or post-processing. <br> > ### **`extract_contacts`** > > Identifies and structures names, emails, phone numbers, LinkedIn URLs, and addresses with field-level confidence scores from candidate records, emails, or documents. Safe for GDPR/CCPA workflows. <br> > ### **`geolocate`** > > Converts partial or informal location text into structured city, state, country, ISO codes, latitude, and longitude. Enables radius-based candidate and job search and supports workforce planning analytics. <br> > ### **`classify_job_zone`** > > RChilli's Job Zone Classification tool reads the job profile from a resume or job description and returns its O/*NET Job Zone — one of five standardized levels ranging from Zone 1 (little or no preparation required) through Zone 2 (some preparation), Zone 3 (medium preparation), Zone 4 (considerable preparation), to Zone 5 (extensive preparation required) — based on the education, experience, and training criteria defined by O/*NET. The returned Job Zone level enables downstream workflows such as candidate-to-role fit filtering, compensation benchmarking, over/under-qualification flagging, and job architecture standardization without any manual O/*NET lookup. <br> --- <br> # **🎯 Search & Matching — 3 tools** <br> > ### **`score_resume_against_jd`** > > Accepts one resume and one Job Description (no index required) and returns an overall match score, dimension scores, skill gap list, and natural-language explanation. Bias-controlled and audit-ready. <br> > ### **`find_matches_in_index`** > > Accepts a resume or Job Description as input and returns the top-N most similar documents from the indexed corpus ranked by semantic similarity. No index setup required for the input document. <br> > ### **`search_indexed_documents`** > > Accepts a query string and returns ranked document references from the tenant's pre-populated index. Supports Boolean and semantic search modes. Requires documents to be indexed before use.
Jobs, visa sponsors, tenders, SEC filings, KYB checks, company and domain intel via Apify.
- PDFLeanOAuthcom.pdflean
PDF tools for AI agents: validate, extract, merge, split, compress, OCR, sign and redact.
Document AI and headless DMS: OCR, IDP, search, workflows, signatures. EU-hosted, OAuth 2.1.
- GlymptOAuthcom.glympt.mcp
Glympt provides domain technology enrichment, filtered prospecting, bulk enrichment, saved lists, CSV exports and usage checks, with hosted OAuth and a local API-key stdio adapter. Access requires an API-enabled paid workspace; Free CSV trials do not grant API access, geography is estimated, and client verification limits are documented at https://glympt.com/docs/mcp.
Paid domain technology enrichment, prospect search, bulk enrichment, saved lists and CSV exports.
RelayPDF is a hosted MCP connector for working with documents. It generates PDFs from HTML, URLs, Markdown, and templates, converts Office files, images, and email, and edits PDFs (merge, split, fill, protect, optimize). It extracts text and JSON with OCR and makes scans searchable. Authenticate with Clerk OAuth or a Bearer token.
- compdf-mcpOAuth unavailablecom.compdf.mcp-server
This is a Unified MCP Server for full document control: PDF manipulation (merge, split, rotate, insert, delete), OCR/data extraction from PDFs/images, PDFs/images conversion, compression, encryption, and watermark management—all without juggling multiple tools.
RChilli MCP Hub is a production-grade MCP server that exposes RChilli's full HR data intelligence platform as 17 AI-callable tools across 4 categories. Built on 15+ years of HR data intelligence, it is trusted by ATS vendors, HR technology platforms, staffing agencies, and enterprise recruiting teams worldwide. Every tool is read-only and returns a consistent, structured JSON response — no raw exceptions, no inconsistent formats.
Read-only access to your SessionKeeper TTRPG campaigns - session summaries and transcripts, character rosters, NPC and wiki entries, DM prep notes, and player feedback. Built for Dungeons & Dragons (D&D) and other tabletop RPG groups.
Convert, merge, compress, OCR, redact, and sign PDFs inside your AI assistant. From pdfAssistant.
Web tools for AI agents: URL to clean Markdown, site crawl, screenshots, PDF/Office to text, OCR.
1Pay-per-use web data tools: leads, Markdown, SEO, ads, jobs, prices, YouTube, trends, Amazon.
