"Sublime Text" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Read-only citizenship test facts, official sources and sample questions for 8 countries.
Search over 1.85 million captioned images using text, a reference image, or both. Upload a JPEG, PNG, or WebP image as base64, or provide a public HTTPS image URL. Find similar images from a Lightdrift asset ID and retrieve hosted file URLs, source licenses, and attribution. Connect with OAuth or an API key. Searches cost $0.005 ($5 per 1,000); image details are free. Setup: https://docs.lightdrift.ai/guides/images-mcp
3GPP Scout connects Cursor, Claude, Codex and other MCP clients to a hosted, continuously updated 3GPP search service. Search TS/TR specifications across Rel-15 through Rel-20, retrieve cited clauses, and search text, diagrams and figures. Explore recent RAN1, RAN2, RAN3, RAN4 and SA2 TDocs, company proposals and extracted meeting decisions, with source links. Connect using Streamable HTTP at https://api.3gppscout.com/mcp/ and sign in with OAuth 2.1. No local index or API key in the MCP configuration is required. Explorer includes 150 API/MCP requests per month; Founding Engineer includes 1,000 for $8/month. Hosted Scout chat is billed separately. 3GPP Scout is an independent product and is not affiliated with, endorsed or sponsored by 3GPP, ETSI or any 3GPP Organizational Partner. 3GPP™ is a trade mark of ETSI registered for the benefit of its Members and of the 3GPP Organizational Partners. Excerpts are quoted for reference and the official documents govern. Copyright, correction or removal requests: contact@3gppscout.com.
Twistly turns your ideas, notes, and documents into ready-to-edit PowerPoint presentations. Describe a topic, paste in text, or share a file (PDF, DOCX, PPTX, or TXT), and Twistly builds a structured deck of up to 50 slides with clear layouts and matching visuals in seconds. Pick from 50+ templates to keep a consistent, on-brand look. Everything comes out as a native, fully editable .pptx file, not a web export, so it opens cleanly in PowerPoint with no broken layouts. Edit it by hand like any normal presentation, or use the Twistly add-in for PowerPoint to keep refining and redesigning your slides. Nothing stays locked in a separate editor. Generation runs asynchronously: a tool call returns a job id, the assistant follows the job, and the finished deck arrives as a download link in the chat. Used by students, educators, business professionals, and teams around the world.
Publishing our production Model Context Protocol (MCP) server for PDFWix (https://www.pdfwix.com) so Claude and AI agent users can securely inspect, merge, compress, split, watermark, and extract text from PDFs.
Image/video text & watermark erasure; TikTok/X links. OAuth; upload via host or eraser.550wai.com.
Text to speech for your AI. Your AI can send text to Doc Player to read it aloud. You will see a reader window with the text and you can control the playback sentence by sentence. Find an example here: https://documentplayer.com/connect-ai/
Kurdish-first AI tools: translation (250+ languages), spell check, grammar, speech-to-text and TTS.
# **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.
Condition-aware ingredient & product safety intelligence for agents: verdict + evidence tier + per-claim evidence_state (cited = ≥1 verified citation / referenced = sourced-but-unverified) + citations, across breastfeeding, pregnancy, histamine/MCAS, rosacea, HS, allergy, fertility, and toddler lenses. Includes validate_claim to fact-check a free-text health claim against curated cited sources.
Scan text, documents, websites, and MCP metadata for prompt injection and sensitive-data risks.
Generate highly realistic Text to Speech voiceovers.
Pay-per-call crypto data for AI agents via x402 -- no API key, no account, no subscription. Pay in USDC per request or try the free tier. TOOLS get_crypto_prices -- free BTC/ETH/SOL prices and 24h change, filter by symbol get_market_quote -- quote for chosen symbols plus market cap and 24h volume get_market_analysis -- AI analysis: sentiment, key levels, risk factors get_research_report -- full technical, on-chain and macro outlook token_safety -- rug-pull risk screening for an EVM token: liquidity, volume, pair age, 0-100 heuristic score from live DEX data fact_check -- verify a claim with an LLM verdict and confidence scrape_url -- fetch any URL and return clean extracted text USE THIS WHEN your agent needs current crypto prices, a market read, an on-chain token safety check, or claim verification, and you would rather pay 0.005-0.25 USDC for the answer than hold a data subscription. Built by Munchausen Lab. Streamable HTTP, 100% uptime over 30 days.
- Brie — Recipe MCP, Meal Plans & GroceriesOAuth unavailableapp.withbrie
Brie connects your assistant to saved recipes, household meal plans and shared grocery lists. Search your recipe library, import recipe links or text, and save a higher-protein or vegetarian adaptation as a named recipe version while preserving the original source. Prepare dinners around your household's preferences, review the proposal, then save the plan and rebuild its groceries. Start with a Brie account on the web and activate your personal Plus or Pro plan, or an eligible trial. Existing subscribers use their current account. Plus starts at $4.99 USD/month, with a seven-day trial for eligible new subscribers; current pricing and renewal terms appear before payment. Household membership alone does not include personal assistant access. Household operations require OAuth and your permission for the selected household. Public discovery exposes tool descriptions only. Eight recipe and grocery tools are available by default; add X-Brie-Capabilities: planning-preview for the thirteen-tool catalog including reviewed meal planning. No private nutrition logs, grocery purchases or billing access. Website: https://withbrie.app Setup: https://withbrie.app/agents Create your account: https://app.withbrie.app/signup?intent=assistant OpenClaw installation: https://clawhub.ai/brie/plugins/brie-openclaw
Three tools for AI agents: scraperAPI retrieves webpages as HTML, Markdown, or screenshots; webSearch searches Google from text or a Google search URL; status (Account) checks identity, subscription, token usage, remaining quota, and rate limits. Hosted Streamable HTTP with OAuth 2.1 and API-key fallback. https://docs.mrscraper.com/docs/getting-started/mcp-server
Search UK Acts, Statutory Instruments, and legislation with full text retrieval
Connect AI assistants to authorised RankZap projects for website audits, keyword research, content calendars, text article drafts, AI visibility and local SEO checks. OAuth permissions, account allowances and publishing approval govern available actions; missing measurements remain unknown.
Chronicling America MCP — full-text search of ~150 years of digitized U.S. newspapers…
- Lexpad – Vocabulary Notebook & FlashcardsOAuth via extensionapp.lexpad
Lexpad is a vocabulary notebook and flashcard app with spaced repetition (Leitner boxes) for learning words in 81 languages, including English, Spanish, French, German, Arabic, Turkish and Persian. Connect it to ChatGPT, Claude or any MCP client, and your assistant works with the words you collected yourself: • Save words and phrases you ask for, with meanings, example sentences and a level (A1–C2). • Find anything: browse and filter your whole notebook by due, new, struggling, starred or mastered words, level, topic or date added. • Practise: get quizzed on today's due words. Every answer counts as real review, moves the word through the Leitner boxes and keeps your streak. • Edit: fix spellings, change or reorder meanings, star or retire words. Deleting needs its own permission, and the assistant asks first. Lexpad never invents vocabulary: it only works with the words you add, by hand, from a text, or imported from Anki or a Kindle. Sign-in is OAuth on a Lexpad page; your password is never shared, and you can disconnect at any time. Works alongside the Lexpad web app and Android app. Guide and example prompts: https://lexpad.app/features/assistants
Translate text PDFs, keep the layout, get bilingual PDFs. MCP: EN/ZH. Website: 92 languages.
