"Managing Files in Nextcloud (Create, Read, Update, Delete Operations)" matching MCP connectors:
Matching Connector Tools:
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.
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.
Read-only answers and semantic search for wiki.private.law, served by the Mothership runtime.
Free MCP API to create AI chat personas for websites — upload knowledge, search, and chat
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.
Create your digital twin: a public page that answers from your own material, with citations.
1 Google Search endpoints. Pay per call in USDC via x402.
Extract PDFs to Markdown, RAG chunks and cited tables; publish tracked Doc Links with read stats.
Manage your Mistral platform — models, files, batch jobs, agents and RAG document libraries.
Generate 18 AI readiness files (llms.txt, ai.txt, RAG indexes, schema) for any website.
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.
shared AI-context layer for teams — persistent memory your agents search and update over MCP
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.
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).
At BittleBits, we build AI visibility and Generative Engine Optimization (GEO) tools that help companies optimize their content for AI systems like ChatGPT, Claude, Gemini etc. We’ve developed a proprietary AI model that analyzes how AI systems evaluate, trust, and cite content in conversational responses, helping brands improve discoverability across AI-powered search.