"NVIDIA Isaac Sim Robotics Simulation Platform" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Explore 500,000+ 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 and Romanian. Setup and examples: https://roteamnet.com/en/ai-agent?utm_source=glama&utm_medium=connector_directory&utm_campaign=connector_launch#first-result
Know where your business stands and what needs attention next. Review available inquiry and paid-work records, goals and recorded spending from your connected workspace. See what needs attention and which conclusions the data cannot yet support. Create non-money goals on explicit request. Revenue targets and increased spending limits require owner approval. Requires a Samuelz account with the relevant Business OS modules. Data coverage depends on connected sources; missing data stays unknown. OAuth access remains bound to one workspace and its current permissions. By Glöggl GmbH.
Run your social media from Claude, ChatGPT or any MCP client. Feedlio's MCP server lets your assistant list workspaces and connected accounts, import media from a URL, and create, edit, reschedule and cancel posts on Facebook, Instagram, LinkedIn, YouTube, TikTok, Threads, Bluesky, Mastodon and Dev.to, with per-platform settings for YouTube, TikTok and Dev.to. Sign in with OAuth on Feedlio's own page; MCP access is included on the Standard plan and up, with a 7-day free trial. Support: support@feedlio.io
Hosted MCP server for 3Dsellers, the multichannel selling platform. Connect Claude, ChatGPT, Cursor, VS Code or any MCP client and manage your eBay, Amazon, Walmart, Etsy, Shopify, WooCommerce and TikTok Shop stores in plain language: search and update products, publish listings, sync inventory, tag and track orders, run bulk actions and CSV imports, and reply to customer messages. 120+ tools. Sign in with OAuth or a personal token. No eBay developer account and nothing to install. Setup guides and config examples for every client: https://github.com/3dsellers/ebay-mcp-server
Draft, find, update and sign contracts in fynk, the European contract management platform. Your AI assistant can search and summarize your documents, create contracts from templates or PDFs, fill in parties, signatories and dynamic fields, build templates, manage tags, teams and metadata, and send documents out for e-signature (SES, AES, QES). It acts with your own fynk permissions via OAuth. Requires an Essential, Business or Pro plan (14-day free trial) with MCP enabled by an account admin.
Reeltopus is an AI video clipper you can run from Claude, ChatGPT and Cursor. Give it a long video (podcast, stream, webinar, lecture, interview) and it finds the complete moments with a hook and a payoff, ranks them best first and says why each one should work. What the AI does: - AI clip selection with titles, hooks and a reason for every pick - Accurate animated captions in 109 languages, including mixed speech like Hinglish; caption translation into 43 languages - AI Reframe to 9:16, 1:1 or 16:9: tracks the speaker, keeps wide shots and slides whole, stacks screen shares, splits two people far apart - Silence and filler-word removal, swear-word masking, edit by transcript or in plain words - AI B-roll from licensed stock footage, brand kits and templates - Whole-video mode: cut a full podcast into a captioned series - Packaging Lab: test hooks, titles and covers per platform - Thumbnail and Shorts cover generator, LinkedIn PDF carousels - Smart links that count clicks, leads and sales, and post analytics Through this MCP server (43 tools, 4 prompts) an assistant can upload or find your videos, show the clips as playable cards, edit and export them (MP4 up to 4K, SRT/VTT/ASS captions, Premiere, DaVinci Resolve and Final Cut timelines), and post or schedule to YouTube and LinkedIn after you confirm. One prompt, clip_and_schedule, takes your latest video to a scheduled post. OAuth sign-in or an API key. Free plan, no card. Docs: https://reeltopus.com/docs/api/mcp
Load testing and synthetic monitoring platform: test with Playwright, Browser Bot, or Protocol Bots.
The Decision Operations Platform for engineering teams
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.
XMemo is a user-owned Memory OS for AI agents, providing a shared, persistent memory layer across AI assistants, IDEs, CLIs, tools, projects, and sessions. It enables ChatGPT, Claude, Codex, Cursor, Gemini, and other supported AI clients to access authorized long-term context without requiring users to repeatedly explain their preferences, project decisions, or previous work. Beyond basic memory storage and retrieval, XMemo supports semantic search, contextual recall, memory updates and corrections, source attribution, version history, project-scoped context, task tracking, and governed memory lifecycle management. Identity-aware access controls, scoped authorization, and memory isolation help users manage which agents and workflows can access their information. XMemo also provides advanced capabilities for structured knowledge, reusable procedures, and memory consolidation through its broader Memory OS platform. Connect through hosted MCP with OAuth or bearer-token authentication, or integrate directly through REST APIs and supported client tools. Memory remains available across authorized clients and sessions, with user-controlled access, export, and deletion. Website: https://xmemo.dev Documentation: https://xmemo.dev/docs
Your team's stories, acceptance criteria, designs and docs, for coding agents. Sign in with OAuth.
QR-driven customer-journey platform for tracked QR codes, short links, and analytics.
Ontology platform for field service: AI agents observe, connect and act on business objects.
Run recruiting from your AI assistant: browse open jobs and pipelines, review AI candidate scores and score breakdowns, search interview transcripts, check hiring metrics and stage timing, and act on candidates (move stage, reject, email) in Selenios, the AI recruiting platform for LatAm. Secure OAuth sign-in with your Selenios account.
MCP server that enables AI assistants like Claude and ChatGPT to retrieve event data and execute event management operations in Nunify event platform.
Draft, find, update and sign contracts in fynk, the European contract management platform. Your AI assistant can search and summarize your documents, create contracts from templates or PDFs, fill in parties, signatories and dynamic fields, build templates, manage tags, teams and metadata, and send documents out for e-signature (SES, AES, QES). It acts with your own fynk permissions via OAuth. Requires an Essential, Business or Pro plan (14-day free trial) with MCP enabled by an account admin.
Turn one prompt into a live landing page and leads in your CRM. AXL MCP lets your AI agent build pages, capture leads, manage contacts, book calls, run email campaigns, and deliver courses. Open-source agent skill. Powered by AXL, a hosted SaaS platform. - **Skill and demo:** https://github.com/axlhq/business-stack - **Install the skill:** `npx skills add axlhq/business-stack` - **Connect MCP:** https://app.axl.tech/mcp — sign in to your AXL account in the browser (OAuth 2.1). Installation and connection are separate steps. **First run — paste this into your agent:** > Using AXL, build a landing page for my [offer] with a name-and-email form that saves each signup to the CRM. Show me a preview and ask before publishing. After I approve, publish it and give me the public and admin links. I will submit a test signup; then find that contact in the CRM and confirm the form answers were saved. - **MCP setup:** https://axl.tech/developers/mcp - **Documentation:** https://docs.axl.tech/mcp - **Product overview (77 seconds):** https://www.youtube.com/watch?v=jlhR9CafIww
Connect Chatway, an AI-powered website live chat and customer support platform, to ChatGPT, Claude, Gemini, Cursor, and other AI assistants using MCP. Chatway helps businesses communicate with website visitors, manage customer conversations, and deliver faster support across multiple channels, including website live chat, email, WhatsApp, Instagram, and Facebook Messenger. Native mobile apps for iOS and Android let support teams manage conversations and respond to customers on the go. With Chatway's MCP server, AI agents can access and manage customer support operations. Search and read conversations, send replies, add private notes, resolve and assign chats, manage contacts, retrieve customer information, and search knowledge base articles. Chatway also includes a built-in AI Support Agent for automated customer service, a shared team inbox, support ticket management, a customizable website chat widget, a help center, team management, automated workflows, visitor tracking, and integrations with popular platforms, including WordPress and Shopify. Connect external AI agents to automate customer support, answer customer questions, access conversation history, and streamline support workflows without building custom integrations. Manage your customer support from anywhere using Chatway's web dashboard or mobile apps. The hosted MCP server supports Streamable HTTP and secure OAuth 2.1 authentication with scoped permissions. Available on all Chatway plans, including the Free plan. Conversation limits apply. Website: https://chatway.app Documentation: https://developers.chatway.app/mcp/guides.mcp_overview
Commercial premises search for expansion teams: plain-words briefs, exact counts, quoted evidence.
# **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.
Connect your AI assistant to Rawa, the AI marketing platform. Look up brands and guidelines, products, audiences, creatives, performance, the marketing calendar and competitor ads; keep your calendar and library up to date; and, when an organization admin allows it, generate new creatives and publish posts. Sign in with your Rawa account.
Schedule meetings, manage event types, and check availability through Lunacal's scheduling platform.
# 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)
MailBeast.ai is a cold email outreach platform. This server lets AI assistants create and launch campaigns with multi-step A/B sequences, manage leads and sending mailboxes (health, warmup, limits), read and answer replies from a unified inbox, and pull campaign analytics. OAuth 2.1 sign-in with read-only or read-and-write access; an API key header is also supported. Website: https://mailbeast.ai
Publish and schedule videos to TikTok, YouTube Shorts, Instagram, Facebook, LinkedIn, Pinterest, Bluesky, Threads and X from Claude, Cursor or any MCP client. Upload once, post everywhere, track views in unified analytics, and retry failed posts. Official platform APIs only, free plan available. Docs: https://docs.multi-upload-tool.com/mcp
Official remote MCP server of MailSenpai, the EU-hosted email marketing platform. Connect Claude, ChatGPT, Cursor or another MCP client with OAuth 2.1 and PKCE. 74 tools manage lists, subscribers, segments, templates, draft campaigns and stats, and check email DNS, blacklists and spam. Sends and deletions require explicit confirmation; every call is logged. The same team also offers SMTP Senpai, an SMTP relay and email API for transactional sending: https://en.mailsenpai.com/smtp-senpai/.
Generate, update, manage, and track QR codes using the QRStuff platform.
The data and trading platform for AI: decades of US market data, backtests in seconds.
AI-native project and portfolio management platform for PMOs. OAuth + PAT.
