"Remote MCP Server Registry/Index" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Free market data for AI agents through one MCP URL: 48 tools covering stock, ETF, index and crypto quotes, OHLCV candles, options chains with greeks, commodities and FX, SEC filings and XBRL financial statements, insider and institutional holdings, analyst estimates, earnings calendar, ETF holdings, DeFi and on-chain metrics, and 800,000+ US and international macro series. Every quote carries its timestamp and delay. Works with Claude, ChatGPT, Gemini, Cursor and any MCP client. Free account, OA
**Ask your AI assistant about your Angelcam cameras, in plain language.** Sign in with your own Angelcam account (OAuth), and the assistant sees exactly what your account sees on MyAngelcam. Almost every tool only reads. There are two exceptions: the assistant can start or stop Cloud Recording on a camera when you ask, after confirming which camera it means, and it can send a feedback report to the Angelcam team once you agree to what the report contains. It never arms, configures or deletes anything. **What you can ask** • “Is the Front Door camera working right now?” It pulls a fresh frame, not the last status Angelcam recorded. • “What did the loading bay camera record at 3am?” Frames from Cloud Recording around that moment, plus a playback or download link. • “Which cameras are offline, and what needs attention at the site this morning?” • “What Real Time Security incidents happened overnight?” What raised each one and how it was verified. • “Which of our services expire next month?” (Space administrators only.) • “Start recording on the Warehouse camera.” Recording starts once you confirm the camera the assistant named. **Step-by-step guides** Six guides turn a camera you already have into a check your AI agent can run, with setup steps for Claude, ChatGPT and Grok Bot. [See all AI camera guides →](https://www.angelcam.com/ai-camera-guides?utm_source=glama&utm_medium=referral&utm_campaign=mcp-launch&utm_content=guides-index) • [Is the gate closed? →](https://www.angelcam.com/ai-camera-guides/check-gate-open-or-closed?utm_source=glama&utm_medium=referral&utm_campaign=mcp-launch&utm_content=guide-gate) • [How busy was the restaurant? →](https://www.angelcam.com/ai-camera-guides/count-restaurant-guests?utm_source=glama&utm_medium=referral&utm_campaign=mcp-launch&utm_content=guide-restaurant) • [Was the container left open? →](https://www.angelcam.com/ai-camera-guides/check-container-doors?utm_source=glama&utm_medium=referral&utm_campaign=mcp-launch&utm_content=guide-container) • [Is the horse lying down? →](https://www.angelcam.com/ai-camera-guides/monitor-horse-posture?utm_source=glama&utm_medium=referral&utm_campaign=mcp-launch&utm_content=guide-horse) • [What changed at the shopfront? →](https://www.angelcam.com/ai-camera-guides/detect-graffiti-and-vandalism?utm_source=glama&utm_medium=referral&utm_campaign=mcp-launch&utm_content=guide-graffiti) • [Is waste being left beside the bins? →](https://www.angelcam.com/ai-camera-guides/detect-waste-beside-bins?utm_source=glama&utm_medium=referral&utm_campaign=mcp-launch&utm_content=guide-bins) **What's inside** • 30 tools: spaces and locations, cameras and live view, Cloud Recording (timelines, gaps, frames, downloads), incidents, services and recording control. • Answers are summaries built for an assistant to reason over, not raw API payloads. • Snapshots reach your assistant as pictures. You can switch to links only when you connect. **Works with** Claude, ChatGPT, Cursor, VS Code and any client that supports remote MCP over Streamable HTTP with OAuth. **Good to know** • Free on top of your Angelcam subscription. • Times are UTC. Angelcam allows about 30 requests a minute per user. • Want a connector that can never change anything? Add `https://mcp.angelcam.com/readonly` to your client instead. It has no recording or feedback tools. [Setup steps for every client →](https://mcp.angelcam.com/?utm_source=glama&utm_medium=referral&utm_campaign=mcp-launch&utm_content=connector-page)
Explore 1,000,000+ active job postings worldwide — in the United States, Europe and other international markets. This public search connection offers five read-only tools: discover supported countries and work filters, find employers, search active jobs, read full postings and inspect market totals. Search and original application links are free. Find full-time roles or remote, part-time, contract and flexible opportunities for extra income. Use declared weekly hours and schedule filters; unknown hours are not invented, and remote does not automatically mean worldwide work eligibility. Check the full posting before applying. Try: “Show supported countries and filters, then find remote part-time jobs with at most 20 declared hours per week”, “Find employers hiring PHP developers in my eligible countries”, or “Open the full posting and original application link for this job”. The Glama discovery profile is deliberately limited to jobs:read. It cannot access a CV, modify a tracker, spend AI credits, send applications or buy anything. The wider roTEAMnet platform also offers confirmed-fact CV preparation, fit analysis, document export and application tracking through separately authorized private tools and the website. A verified free account includes 15 one-time AI credits for those optional workflows. Connect using OAuth. Permissions are scoped and revocable. Interface: English, German, French, Romanian, Dutch, Italian and Spanish. Setup and examples: https://roteamnet.com/en/ai-agent?utm_source=glama&utm_medium=connector_directory&utm_campaign=connector_launch#first-result
Engram is a persistent, long-term memory layer for AI agents and assistants. Claude, ChatGPT, Grok, Cursor and any MCP client share one memory, stored as plain markdown notes: your knowledge base, second brain and AI context in one place. No extraction step: the memory is the note itself, so you can read exactly what your AI remembers and fix it. Edit your memory in Obsidian (real-time sync), the web app, or on your phone. Hybrid keyword + semantic search (RAG over your notes) finds exact strings like error messages, config keys and IDs. Remote MCP server over Streamable HTTP with OAuth 2.1; notes encrypted at rest. Https://engram.page https://youtu.be/rwnPeZ-8Lqo?is=NI-N7BduydGAiZlF https://github.com/engram-app/Engram
Picks from real people for things to buy, watch, read, eat or do, each with a working store link.
EXZA Remote — AI Computer Commander Your computer. Your control. Securely connect your own macOS, Windows or Linux computer to compatible AI clients, including ChatGPT and Claude. EXZA Remote provides 59 MCP tools for authorized file management, terminal operations, system monitoring, desktop automation and email workflows. GETTING STARTED 1. Create an EXZA Remote account. 2. Install the official computer connection client. 3. Pair your device using a temporary six-digit PIN. 4. Approve the connection on your computer. 5. Connect your preferred MCP client using EXZA OAuth. MCP ENDPOINT https://remote.exza.de/mcp TRANSPORT Streamable HTTP with OAuth 2.0 KEY FEATURES • 59 MCP tool interfaces • Secure computer and file access • Terminal commands and background jobs • File search, reading and editing • System monitoring and desktop automation • macOS, Windows and Linux support • Owner-controlled permissions and approvals COMPLETE INSTALLATION & DOCUMENTATION Detailed setup instructions, terminal installation commands, all 59 tools, troubleshooting and security information: https://github.com/exzade/EXZA-Remote/blob/main/docs/GLAMA_OVERVIEW.md Official website: https://remote.exza.de EXZA Remote is an independent, OAuth-protected service. Computer access requires individual account authorization and device-owner approval.
Brazilian business aviation: registry, owner, flights, base, market, maintenance and sale signals.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Mail, Calendar, Messages, Notes, Contacts, Slack on your Mac for AI. Remote needs Pro or free trial.
Manage VaultCord-protected Discord servers: members, verification, backups and security.
AI job search and tracker: jobs near you and remote, pay vs market, ghost-job risk, resume checker.
Remote MCP server for LinkedCamp. Run LinkedIn and email outreach from ChatGPT, Claude or Cursor: campaigns, unified inbox, leads and analytics in 133 tools.
Persistent memory and cross-session learning for AI coding assistants (hosted remote MCP).
FixMyPrompt is a remote MCP server for coding agents. It saves the steps your agent worked out as project memories and fetches them in later sessions, scores and rewrites prompts, and checks CLAUDE.md and AGENTS.md files. Works with Claude Code, Codex and Cursor. Free plan available.
Research briefs and source-linked literature comparisons via remote MCP. OAuth sign-in; research task execution uses RigorMed credits.
Tailor your resume to any job, get an ATS score with fixes, and export a PDF, right inside ChatGPT or Claude. Try asking: - "Tailor my resume to this job description: [paste the job]" - "Score my resume against this job and list the fixes" - "Make a Product Manager version of my resume" - "Export my tailored resume as a PDF" Why you can trust it: - Uses only your real experience. Nothing is invented. - Your original resume never changes. Every tailored copy is saved as a new version you can restore. - Secure OAuth sign-in with your CVEmber account. No API keys to paste. Pricing: CVEmber MCP is included with Pro and Pro Lifetime, one-time passes with no subscription and nothing that renews. Separately, building and scoring a resume on the cvember.com website is free. Works with: ChatGPT, Claude and any MCP client that supports remote servers with OAuth. Cover letters are written on cvember.com with the same account. Topics: resume, CV, ATS, job search, career, resume tailoring, cover letter. Website: https://cvember.com Setup guide: https://cvember.com/integrations Privacy: https://cvember.com/privacy Terms: https://cvember.com/terms Support: support@cvember.com
Publish and manage HTML pages and multi-file static websites from Claude, ChatGPT, Cursor and other AI agents. Remote Streamable HTTP MCP with OAuth 2.1 browser sign-in. Docs: EN https://htmlkin.io/en/docs/mcp · FR https://htmlkin.io/fr/docs/mcp · PT-BR https://htmlkin.io/pt-BR/docs/mcp · IT https://htmlkin.io/it/docs/mcp
Official public data as MCP tools: EU/US tenders, NPI Registry, UK Companies House, Mexico data.
Turns your questions into a ready-to-play pub quiz on quizquiz.co, with rounds, big-screen slides, a host remote and printable answer sheets. Returns a preview link and an edit link. Needs a free quizquiz.co account.
Factusur's remote MCP server: your AI assistant turns French invoices into validated Factur-X (EN 16931) files, checks received Factur-X and tracks your quota. Factusur is not an approved e-invoicing platform and does not transmit invoices.
Run, debug, and triage tests from your IDE using natural language, no dashboard switching, no manual data transfers. The TestMu AI (formerly LambdaTest) MCP Server is a single remote server exposing four tool suites: HyperExecute — analyze your project, generate YAML configs and test runner commands, then monitor jobs and sessions. Automation — pull a TestID's details plus command, network, and console logs into one chat for instant root-cause analysis. Includes mobile app upload. SmartUI — explain pixel, layout, DOM, and perceptual changes in a visual regression run, with context-aware React/HTML/CSS fixes. Accessibility — audit any public URL or a local React app against WCAG and get ready-to-apply remediation steps. Connects over https://mcp.lambdatest.com/mcp using OAuth 2.1 — no API keys in your config. One-click install in Cursor; works with Claude, GitHub Copilot, Cline, and any MCP client. Tests execute on the TestMu AI cloud: 3,000+ browsers and 10,000+ real devices.
Connect compatible AI assistants to your own registered and authorized Windows or macOS computers for file operations, terminal commands and device management. Free: 1 device, 10,000 MCP tool calls per month; allowance resets next month.
Court-grounded Chapter 11 bankruptcy research over hosted remote MCP
Private English speech-to-text for AI assistants. Transcribe a public HTTPS audio link, a one-time file upload, or an inline clip, with optional word timestamps and speaker labels. Audio is processed in memory on our own hardware in North Carolina, then erased, without training on recordings. Requires a Loquela Remote account and subscription or prepaid minutes. Beta service for US customers; English audio only. Docs: https://docs.getloquela.com/remote/mcp
# **RChilli** RChilli MCP Hub is a production-grade Model Context Protocol (MCP) server that exposes RChilli’s HR data intelligence platform through AI-callable tools. Built on 15+ years of HR data intelligence, RChilli supports ATS vendors, HR technology platforms, staffing agencies, and enterprise recruiting teams worldwide. The tools return consistent, structured JSON responses for recruiting, talent intelligence, skills, matching, compliance, and HR workflow use cases. `userkey` and `subuserid` are injected automatically from the Bearer token and must not be passed manually. <br> --- <br> # **Available Tools** <br> > ### **`analyze_hr_call`** > > Transcribes and analyzes HR or recruiting call recordings to extract speaker turns, sentiment, candidate intent, action items, skill mentions, and structured follow-up data for recruiting operations. <br> > ### **`analyze_skill_adjacency`** > > Identifies related, adjacent, and transferable skills to support skill discovery, talent mobility, workforce planning, and candidate evaluation. <br> > ### **`analyze_skill_gap`** > > Compares candidate or employee skills against a target job and returns present skills, missing skills, readiness score, and development areas for hiring, internal mobility, and workforce planning. <br> > ### **`autocomplete_job_profile`** > > Accepts a partial job title and returns ranked autocomplete suggestions with canonical titles and job families. Ensures job titles map to standardized taxonomy profiles from the moment a recruiter starts typing. <br> > ### **`autocomplete_skill`** > > Accepts a partial skill string and returns ranked autocomplete suggestions with canonical skill names and categories. Helps prevent free-text entry errors and keeps skill data clean. <br> > ### **`classify_job_zone`** > > Reads the job profile from a resume or job description and returns its O*NET Job Zone, from Zone 1 through Zone 5, based on the education, experience, and training preparation required for the role. <br> > ### **`convert_document_format`** > > Accepts a document as base64 or URL and converts between PDF, DOCX, RTF, HTML, and plain text. Useful as a pre-processing step before extracting data from non-standard document formats. <br> > ### **`detect_bias`** > > Reviews job descriptions and hiring criteria for gendered language, age-coded terms, unnecessary credential inflation, cultural exclusion signals, and related compliance risks. Suggests neutral replacements. <br> > ### **`detect_resume_suspicion`** > > Reviews candidate profile data for possible inconsistencies, unusual claims, timeline conflicts, missing context, and other signals that require recruiter review. <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. <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. <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. Supports multilingual extraction, batch processing, resume auto-fill, and reprocessing of historical resumes. <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 Resume Data Extraction. Ideal for resumes stored in cloud storage, S3, email attachments, or other URL-accessible sources. <br> > ### **`find_matches_in_index`** > > Accepts a resume or job description as input and returns the top matching documents from the indexed corpus, ranked by semantic similarity. <br> > ### **`generate_interview_questions`** > > Creates technical, behavioral, situational, and competency-based interview questions tailored to a role and candidate profile, including question type, competency, and expected answer signals. <br> > ### **`generate_jd`** > > Generates structured job descriptions with title, responsibilities, required skills, preferred skills, qualifications, tone alignment, language support, and inclusivity scoring from role inputs. <br> > ### **`geolocate`** > > Converts partial or informal location text into structured city, state, country, ISO codes, latitude, and longitude. Supports radius-based candidate search and workforce planning. <br> > ### **`index_document`** > > Indexes a resume or job description in RChilli Search & Match so it can be searched, matched, updated, and reused across candidate matching, job matching, and similarity-search workflows. <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> > ### **`lookup_skill`** > > Returns authoritative detail for a known skill including description, aliases, related skills, proficiency levels, and O*NET or ESCO mappings. <br> > ### **`map_job_to_skills`** > > Converts job descriptions into granular skill maps with required and preferred skill clusters, proficiency signals, taxonomy tags, and downstream matching attributes. <br> > ### **`match_end_to_end`** > > Orchestrates data extraction, indexing, taxonomy normalization, and matching to return ranked candidates or jobs with scores, explainable results, and an audit trail from a single call. <br> > ### **`normalize_candidate_data`** > > Cleans and normalizes candidate records from multiple ATS or HR systems, resolves field conflicts, deduplicates records, and produces standardized candidate data with a field-level change log. <br> > ### **`normalize_hr_data_with_lov`** > > Maps raw and inconsistent HR data values, including degrees, universities, certifications, job profiles, skills, and locations, to the closest configured List of Values entry with a standardized value and confidence score. <br> > ### **`recommend_learning_path`** > > Builds structured learning paths with prerequisites, skill sequence, certifications, proficiency targets, and LMS alignment based on a person’s profile and target role. <br> > ### **`redact_resume`** > > Redacts configured personally identifiable information from candidate profiles to support anonymized review, bias-aware screening, compliance workflows, and audit logs. <br> > ### **`reformat_resume_with_template`** > > Applies one of the RChilli resume templates, TM001 through TM006, to a structured candidate profile and produces a consistently formatted PDF, DOCX, RTF, or HTML document. <br> > ### **`score_resume_against_jd`** > > Accepts one resume and one job description and returns an overall match score, dimension scores, matched skills, skill gaps, and a natural-language explanation. No index is required. <br> > ### **`screen_application_batch`** > > Evaluates a batch of candidates against job requirements and custom criteria, returning scores, insights, skill gaps, and recommended next actions for each candidate. <br> > ### **`search_indexed_documents`** > > Accepts a query string and returns ranked document references from the tenant’s indexed corpus. Supports Boolean and semantic search modes. <br> > ### **`skill_mapping`** > > Maps raw skill text to standardized RChilli taxonomy skills, aliases, classifications, and related skill information. <br> > ### **`tag_entities`** > > Annotates extracted HR text by wrapping recognized entities in structured XML-style labels. Supported entities include job titles, skills, names, degrees, organizations, locations, countries, dates, and years.
Build custom POS apps with your AI agent. Final's MCP server gives developers what they need to ship a custom point of sale: scaffold a checkout flow, adapt vetted screen blueprints for counter POS, self-checkout kiosks, restaurant ordering and payment terminals, ground every call in Final's version-locked POS APIs, validate, boot a live preview and deploy to real hardware with integrated card payments. The same server also manages the store behind it: products, stock, orders, customers and sales reports. Remote Streamable HTTP with OAuth 2.1.
The social media scheduler for AI agents. Agents schedule over MCP; Flaghand posts on time.
Live job postings from 14+ ATS career sites (Greenhouse, Lever, Workday, Ashby and more) plus remote jobs, in one JSON format. Runs on Apify (Apify OAuth or API token).
Generate images from Claude, ChatGPT, Cursor and Codex with 12 top AI image models. Up to 4 images per call, SVG vectorization, background removal, upscaling and image-to-video. Remote MCP with OAuth, no API keys.
# Poof **Poof ([poof.bg](https://poof.bg)): a background removal API for AI agents. Send an image, get the subject back on a transparent background in under 2 seconds.** [Poof](https://poof.bg) gives your assistant a background removal tool. It handles people, products, cars, animals, and graphics, with hair-level edge precision, and returns a transparent PNG or WebP, or a solid-colour JPG for product listings. Pricing starts at $0.002 per image, with 100 free credits every month. This repository is the integration front door. The product itself lives at [poof.bg](https://poof.bg); the remote MCP server lives at `https://api.poof.bg/mcp`. ## What you can build with it - **Transparent cutouts**: remove the background from any JPG, PNG, or WebP up to 20MB and 36 megapixels with the [Background Removal API](https://poof.bg/background-removal-api). - **E-commerce product photos**: white or brand-colour backgrounds, cropped to the subject and resized to a fixed canvas, so every listing image matches. - **A remove.bg replacement**: remove.bg shuts down on 1 December 2026. Poof accepts the same inputs, so most integrations only change the endpoint and key. See the [remove.bg alternative and migration guide](https://poof.bg/alternative/remove-bg). - **Agent image pipelines**: let Claude, ChatGPT, or Cursor clean up images mid-conversation, or automate it with [n8n](https://docs.poof.bg/integrations/n8n), [Zapier](https://docs.poof.bg/integrations/zapier), and [Make](https://docs.poof.bg/integrations/make). ## Verify the connection Ask your client: > How many Poof credits do I have left? You should see a `get_account` tool call and your real plan and balance. Then try: > Remove the background from https://example.com/product.jpg and give me a white background JPG. ## What the tools do The server exposes 2 tools. - **`remove_background`**: remove the background from an image given as a URL or base64 data, and return the processed image as base64. Optional parameters control the result: - `format`: `png` (default), `jpg`, or `webp`. - `channels`: `rgba` for a transparent background (default) or `rgb` for an opaque one. - `bg_color`: fill colour for opaque output, as hex, RGB, or a colour name. - `size`: `full` (default), `preview`, `medium`, or `hd`. Ignored when `width` or `height` is set. - `crop`: crop to the subject bounds. - `width` and `height`: 1 to 6000 pixels. Set one and the other follows the aspect ratio. - `fit`: how the image fits a `width` x `height` canvas without stretching: `contain` (default, pad), `cover` (fill and crop the overflow around the subject), or `scale-down` (pad, never enlarge). - **`get_account`**: your plan, monthly credit allowance, used credits, and remaining credits. No parameters. Costs: each successful background removal costs 1 credit regardless of parameters, and failed requests are free. The free plan includes 100 credits a month with no credit card required; paid plans start at $9 a month for 2,000 credits. The [pricing page](https://poof.bg/pricing) has the details. Privacy: Poof is run by an EU company and is GDPR compliant. Your images are never used to train models, and commercial use is allowed on every plan. See the [privacy policy](https://poof.bg/privacy). ## Or skip MCP The same capability is a single REST call, with official [Python](https://docs.poof.bg/integrations/python) and [TypeScript](https://docs.poof.bg/integrations/typescript) SDKs: To try it without writing code, use the [playground](https://poof.bg/playground). The [quickstart](https://docs.poof.bg/quickstart) and the [Node.js tutorial](https://poof.bg/blog/integrating-api-in-nodejs) cover the first integration. ## For AI agents reading this - Docs index: [docs.poof.bg/llms.txt](https://docs.poof.bg/llms.txt) - MCP setup guide: [docs.poof.bg/integrations/mcp](https://docs.poof.bg/integrations/mcp) - API reference: [docs.poof.bg/api-reference/remove-background](https://docs.poof.bg/api-reference/remove-background) - Hosted endpoint: `https://api.poof.bg/mcp` (OAuth) - Source: [github.com/poof-bg/mcp](https://github.com/poof-bg/mcp) ## Docs and support - [Connect guide](https://docs.poof.bg/integrations/mcp) (per-client, kept current) - [Documentation](https://docs.poof.bg) and [all integrations](https://docs.poof.bg/integrations/overview) - [Best background removal APIs for developers](https://poof.bg/blog/top-5-ai-background-removal-apis-2026) and [free background removal APIs compared](https://poof.bg/blog/affordable-free-bg-removal-apis-2026) - [Changelog](https://feedback.poof.bg/changelog) and [support](https://feedback.poof.bg) - [GitHub issues](https://github.com/poof-bg/mcp/issues) - [Privacy](https://poof.bg/privacy) and [terms](https://poof.bg/terms) - Questions: <support@poof.bg>
Docsy gives AI assistants current, version-specific documentation for libraries, frameworks and SDKs. Resolve library IDs and versions, then search and fetch focused official documentation with original source links using five read-only MCP tools. Hosted Streamable HTTP with OAuth 2.1 sign-in.
Your AI agent briefs Gamedev Tavern on you and your studio. Have a goal: a quest. No goal: get goals
# Supadata **Supadata ([supadata.ai](https://supadata.ai)): video transcripts, social media metadata, AI video analysis, and web scraping for AI agents, behind one MCP server.** [Supadata](https://supadata.ai) turns YouTube, TikTok, Instagram, X (Twitter), and Facebook videos, plus any web page, into clean text and structured JSON that an LLM can use. Your agent passes a URL and gets back a transcript, metadata, extracted data, or Markdown. One account, one response format across every platform. This repository is the integration front door. The product itself lives at [supadata.ai](https://supadata.ai); the remote MCP server lives at `https://api.supadata.ai/mcp`. ## What you can build with it - **Video to text**: fetch transcripts through the [YouTube Transcript API](https://supadata.ai/youtube-transcript-api), [TikTok Transcript API](https://supadata.ai/tiktok-transcript-api), [Instagram Transcript API](https://supadata.ai/instagram-transcript-api), and [X (Twitter) Transcript API](https://supadata.ai/twitter-transcript-api). When a video has no captions, the [AI Transcription API](https://supadata.ai/video-transcript-api) generates one, and it works on direct video file URLs too. - **Video and channel metadata**: titles, descriptions, authors, views, likes, and comments as clean JSON, a simpler [YouTube Data API alternative](https://supadata.ai/youtube-api) that also covers TikTok, Instagram, X, and Facebook. - **Structured data from video**: give a prompt or a JSON schema and the [Video Analysis API](https://supadata.ai/video-analysis-api) returns structured output that accounts for visuals, audio, and context. - **Web context**: scrape any page to Markdown, map a site's URLs, or crawl a whole site for RAG and research. See the [web scraping docs](https://docs.supadata.ai). ## Verify the connection Ask your client: > Get the transcript of https://www.youtube.com/watch?v=dQw4w9WgXcQ and summarize it in three bullet points. You should see a `supadata_transcript` tool call and a real summary. ## What the tools do The server exposes 9 tools in four groups. - **Transcripts**: `supadata_transcript` (get a transcript from a YouTube, TikTok, Instagram, X, or Facebook video URL, or from a direct file URL; uses existing captions when available and falls back to AI transcription when there are none), `supadata_check_transcript_status` (poll an asynchronous transcript job by its job ID; long videos return a job instead of an immediate result). - **Metadata**: `supadata_metadata` (title, author, and engagement stats for a social media post or video). - **Video analysis**: `supadata_extract` (start an AI structured-data extraction job for a video, driven by your prompt or schema), `supadata_check_extract_status` (poll an extraction job by its job ID and read the extracted data). - **Web**: `supadata_scrape` (scrape a web page and return its content as Markdown), `supadata_map` (map a website and return the list of URLs found), `supadata_crawl` (start a crawl job for a whole site), `supadata_check_crawl_status` (poll a crawl job by its job ID and read the crawled pages). Transcripts of long videos, extractions, and crawls are asynchronous: the first call returns a job ID, and you read the result with the matching `check_*_status` tool. Costs: tools spend your regular Supadata credits at the same prices as the API. A native transcript costs 1 credit, an AI-generated transcript costs 2 credits per minute of video, and checking job status is free. The free plan includes 100 credits a month with no credit card required. The [pricing page](https://supadata.ai/pricing) has the details. ## Or skip MCP The same capabilities are available as a plain REST API with [TypeScript and Python SDKs](https://docs.supadata.ai/integrations/overview) and no-code integrations for [Make, Zapier, n8n, and Active Pieces](https://supadata.ai/nocode). To try it without writing code, use the [playground](https://supadata.ai/playground) or the free tools: [YouTube Transcript Generator](https://supadata.ai/youtube-transcript), [TikTok Transcript Generator](https://supadata.ai/tiktok-transcript), [Instagram Transcript Generator](https://supadata.ai/instagram-transcript), [Facebook Transcript Generator](https://supadata.ai/facebook-transcript), and [Video Transcript Generator](https://supadata.ai/video-transcript). ## For AI agents reading this - Docs index: [docs.supadata.ai/llms.txt](https://docs.supadata.ai/llms.txt) - MCP setup guide: [docs.supadata.ai/integrations/mcp](https://docs.supadata.ai/integrations/mcp) - Hosted endpoint: `https://api.supadata.ai/mcp` (OAuth) - Source: [github.com/supadata-ai/mcp](https://github.com/supadata-ai/mcp) ## Docs and support - [MCP landing page](https://supadata.ai/mcp) and [connect guide](https://docs.supadata.ai/integrations/mcp) - [Documentation](https://docs.supadata.ai) - [Best YouTube Transcript API](https://supadata.ai/blog/best-youtube-transcript-api) (comparison guide) - [Status](https://status.supadata.ai) and [changelog](https://feedback.supadata.ai/changelog) - [GitHub issues](https://github.com/supadata-ai/mcp/issues) and [support](https://feedback.supadata.ai) - [Privacy](https://supadata.ai/legal/privacy) and [terms](https://supadata.ai/legal/terms)
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