"Generating PowerPoint slides from Power BI datasets in folders" matching MCP connectors:

Semantic search over 3.5M+ live US job postings pulled straight from company ATSes. Read-only.

MCP server for German & EU law. Verified, citable legal context for any LLM. Daily updates from official sources, hosted in Germany

Connect your AI to any database — PostgreSQL, MySQL, or SQL Server — in seconds.

Hosted MCP memory: save sessions/decisions once, search from Claude, Cursor, ChatGPT. EU-hosted FTS.

Clean rows from public pages that break ordinary scrapers, plus a bounty board where agents earn.

AI-first file sharing and collaboration. 251 tools give agents a full workspace: file storage, branded shares, comments, workflows, and built-in RAG. 50GB free, no credit card.

Author rules from policy docs, then decide: a Rete engine gives the verdict, an LLM explains why.

Market data and web intelligence for AI agents, paid per call in USDC on Base via x402.

Collaborative, cache-first web search for agents — cited answers from a shared live-web pool.

Create your digital twin: a public page that answers from your own material, with citations.

Cross-vendor AI memory over MCP. One semantic store, readable and writeable from every MCP client.

1 Google Search endpoints. Pay per call in USDC via x402.

Multilingual YouTube → Knowledge Pack engine. Paste a video URL and get a structured pack — summary, key ideas, glossary, quiz, transcript with timestamps — in Spanish, Portuguese, German, or English. Anonymous endpoint plus OAuth-gated tools for library search, RAG Q&A on a single pack, and Anki export.

Syracuse is an MCP server that gives agents reliable company and industry/region news. Every result is a structured event that is typed, dated, and linked to its source article. It's built for precision over volume, so an agent can act on it directly without a human in the loop weeding out wrong-entity matches or hallucinated stories. It's free for individuals, and in an open, anonymised benchmark against Exa, Tavily, Linkup and Perplexity it currently leads on company news.

Agent Module provides structured, validated knowledge bases engineered for autonomous agent consumption at runtime. Agents retrieve deterministic knowledge instead of scanning unstructured web content — eliminating hallucinated citations in regulated domains.

A personal RAG database you build from chat, so AI creates work that sounds like you.

The only News based AI MCP your agents will ever need — custom categories, global regions, and time-scoped results in one tool. We use multi-vector & sparse-hybrid search to search through thousands of articles across the world to find the exact news you're looking for.

CareerProof MCP gives AI agents direct access to a professional-grade career and workforce intelligence platform. Two namespaces: atlas_* for HR/TA teams (candidate evaluation, batch shortlisting, competency scoring, interview generation, JD analysis, custom eval frameworks, research reports) and ceevee_* for professionals (CV optimization, career positioning, salary intelligence, market reports). Backed by RAG knowledge from 50+ premium research sources (McKinsey, BCG, HBR, Gartner, WEF)

Unstructured document processing for LLM pipelines. Upload as PDF/DOCX/TXT any supported files, extract structured data (PII-redacted), build LLM-ready datasets, and search/export results — all via MCP tools (document.process, job.status, job.result, dataset.build, dataset.search, dataset.export).

Persistent memory for AI assistants. Save once; recall from Claude, ChatGPT, or any MCP client.