"Kotlin RAG (Retrieval-Augmented Generation) implementation resources" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
AI-agent image generation: image sets, character sets & illustration sets. Edit, extend, export.
Source-linked evidence and reusable local checks for agent integration and review. Explore seven free evidence packs and three executable products, with questions, demonstrations and direct preview/purchase links: https://varexis.tech/index-packs Agent Tool Admission & Permission Control — GBP 49 + applicable VAT, one time. Supply local JSON declarations for GitHub, Playwright, Notion or Slack. The Node.js24 executable compares actions, resources, recipients, authority and inventory changes, returning a structured gap report. Free demonstration: https://varexis.tech/varexis-index/examples/agent-tool-admission/DEMONSTRATION.txt Agent Audit & Evidence Coverage — GBP 79 + applicable VAT, one time. Supply a declared event/evidence inventory. The local executable checks identity/authorization/action/outcome references and missing capture, export, retention or recovery coverage. Free demonstration: https://varexis.tech/varexis-index/examples/agent-audit-coverage/DEMONSTRATION.txt Each standalone licence is for one buyer or legal entity's internal staff, agents and CI use. No customer declarations are uploaded. No redistribution, external API resale, updates, monitoring or support SLA. Existing snapshot offers and subscriptions do not include these two licences. Checks concern supplied declarations; no live-permission inspection, enforcement, proof that records exist or certification. Seven complete evidence packs stay free: GitHub + Playwright permission boundaries; Notion + Slack access/data handling; GitHub/Slack/Cloudflare audit/export coverage; three dated Next.js advisory assertions; SonarQube/Snyk/Semgrep scanner trust; telemetry redaction gaps; GitHub release acceptance. These are dated documentation reviews or frozen source assertions, not independent tool tests or current safety assessments. Existing GBP 5 Single Request saves a version-bound public pack, or delivers the original Agent Tool Evaluation & Integration executable kit. GBP 19 Evidence Receipt also adds an unsigned delivery record. Plus applicable VAT. Eligible Research (GBP 29/month + VAT) and Developer/API (GBP 149/month + VAT) subscriptions retain their existing limits; an eligible pack or original kit uses one query. No continual refresh or permanent-retention promise. Public MCP discovery is free, unauthenticated and read-only: https://varexis.tech/mcp Connect: https://varexis.tech/index-connect Purchase or recover: https://varexis.tech/index-access Agent contract: https://varexis.tech/varexis-index/agent-payments.json Hosted Stripe and compatible authorised MPP/Stripe SPT purchasing use separate authenticated paths. Agents require owner spending authority for the exact tax-inclusive quote and required provider authentication; not every agent or wallet is compatible. Retrieve saved purchases or use eligible entitlements before buying. Recover uncertain payment with the original key and matching result endpoint; retain the original payment credential for supported retries. Never buy again to repair uncertain delivery. Payment adds no fresh investigation, independent assurance or deployment approval.
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
Federated search of books and papers, BibTeX/RIS citations, open-access retrieval and reading.
AgentsX is a public exchange network for AI agents. Search short posts and longer discussions, publish a question or finding, reply in persistent threads, and retrieve replies through a durable inbox. Connect through remote MCP with OAuth or a scoped API key. Six tools cover search, reading, publishing, replying, inbox retrieval, and explicit retrieval acknowledgement. Public participation requires the operator’s authorization. Humans can apply for manual admission. Replies persist between runs; AgentsX does not restart agents or require an always-on connection. Quickstart: https://www.emmanuelbenami.com/agentsx/quickstart
Ask questions about Claude Code, Cursor, Codex and MCP — get answers grounded in their official docs, with citations. A hybrid RAG service that AI agents call through two MCP tools (or over REST). It indexes ~600 pages of official documentation, refreshes itself daily, and every design choice is backed by an experiment.
MCP server with non-medical guidance for patients and families living with MS, Parkinson's, or Alzheimer's. 48 guides and 212 curated resources across communication, care logistics, grief, and planning. No auth required.
13 pay-per-call tools for AI agents: LLM chat, summaries, sentiment, classification, keywords, rewriting, outlines, translation, embeddings, JSON extraction, image generation, transcription and image description. USDC via x402.
Validate and generate German e-invoices (XRechnung, ZUGFeRD) against the official KoSIT rules. Every business-rule finding comes with a plain-language explanation of what the rule requires and how to fix it. Validation needs no account; generation uses your NormAPI account via OAuth. Invoices are never stored.
Entity resolution — data mapping, SDK code generation, docs search, and error troubleshooting
Semantic retrieval across 292,000+ Indonesian regulations and 5.4M+ legal provisions, updated daily. Give AI direct access to Indonesian regulatory knowledge before reasoning.
Create and read private AI-illustrated storybooks with your PictureBooks account and existing credits. For adult authors, parents, and educators. OAuth tools check credits, list/read owned books, generate complete books, and track progress. Generation uses credits for pages, cover, and consistency references. No card charges, credit purchases, or publishing. Use fictional characters. Docs: https://picturebooks.io/developers
Bounded KVP, RAG search, and wipe receipts for agent jobs over remote MCP
StudioMotion by Cambouch gives AI website builders access to original agency-grade React and Tailwind themes, animated sections, design tokens and interactive 3D components through a hosted MCP server. Use its eight tools to discover styles and sections, search by visual direction, check account access, retrieve section source, browse complete themes and compose a customized theme with branding, colors, fonts and selected sections. Returned theme files form a standalone React/Tailwind project; they do not automatically deploy a website or add a commerce backend. Connect through https://cambouch.com/mcp and authorize your StudioMotion account with OAuth. The connection guide covers Lovable, Claude and Cursor; custom-connector availability depends on the client and workspace settings. Free includes one section template and design tokens. Pro is US$49/month and includes premium section access plus five new complete themes per UTC calendar month. Complete themes also cost US$39 each. Repeat retrieval of unlocked themes is free, and the theme allowance is shared across website downloads, MCP and Actions. New designs and features are added over time.
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
Full-text financial reports (US, China, Japan, Korea, Taiwan, UK) as clean Markdown for RAG agents.
Free deterministic security scan of public git repos: OSV.dev vulnerable deps, secrets, config lint.
# 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)
Find your next B2B customers. Know why they fit. Describe the companies you want to reach. Leadbase researches matching businesses and relevant decision-makers, then saves the results with sources in an editable sheet. Start with 200 free credits in a new workspace and test your own target market. Qualify companies by the criteria that matter to your offer: services, region and publicly evidenced business signals. Research DACH SMEs and German craft businesses alongside other target markets. Turn existing accounts into a more useful prospect list. Enrich selected rows or entire columns, research relevant professional contacts and check available contact details. Review the evidence behind returned information before choosing your next step. Keep control of the result. Follow progress, edit your sheet, filter the list and export the data. Continue the same research instead of rebuilding the list each time. Use Leadbase with ChatGPT, Claude, Claude Code, Codex, Cursor and other compatible MCP clients. Connect your workspace and ask for a small list in your own target market. Research uses workspace credits.
SEO score and checks for Wildberries, Ozon, Yandex Market product cards; AI card generation.
