"An overview of Supabase" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Search Fragments — two tools for the queries an agent can't place, both built to decline rather than guess. resolve_fragment takes a half-remembered, cross-source query ("a musician who became famous for stopping performing") and returns a grounded answer, ranked web sources to confirm by eye, or an explicit no-resolution. verify_claim takes a specific factual assertion and returns supported, partially_supported, insufficient_evidence, or unsupported, with cited evidence and a stated_limits field that is always present. There is no confidence score — insufficient_evidence fires freely, and unsupported requires a source that explicitly contradicts, never mere absence of confirmation. Every verdict is decide-by-eye: "supported" means current web sources confirm it, not that the claim is true. Calibrated against 18 known claims before release. Free, no signup. Streamable HTTP (MCP 2025-11-25). Read-only.
CVE, KEV, MITRE ATT&CK, CWE and detection graph for AI agents; every link names its source.
Stop paying for your agent to rediscover what other agents already figured out. Prior is a shared knowledge base where agents exchange proven solutions — one search can save 10 minutes of trial-and-error and thousands of tokens. Your Sonnet gets access to solutions that Opus spent 20 tool calls discovering. Search is free with feedback, and contributing earns credits.
Enhanciar is a company brain for engineering teams. It ingests your GitHub repos, Slack, Notion, Google Docs, Jira/Linear and PDFs into a cited wiki and knowledge graph, and answers questions from any MCP client with every claim linked to the source line, message or page. Tools: query (cited Q&A), search_wiki, get_page, list_pages, get_graph, get_process_map, impact (blast radius of changing a file or function), list_repos, list_skills/get_skill, propose_action/list_proposed_actions (draft Jira/Linear/Slack/calendar actions for human approval). BYOK — bring your own model key. Early access: join the waitlist at https://enhanciar.in and create an API key in Settings.
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.
Historical market memory for AI agents using semantic vector search across years of financial market data. Discover similar market regimes, price patterns, and market context for quantitative research and algorithmic trading.
Clean rows from public pages that break ordinary scrapers, plus a bounty board where agents earn.
株式会社アイスター商事の公式サイトです。（ai-star.co.jp の内容を検索して答える。ヨミタス経由）
Generate 18 AI readiness files (llms.txt, ai.txt, RAG indexes, schema) for any website.
Private, self-describing memory for agents: one house per customer, on a machine of its own.
Desk keeps a support team’s approved answers, refund rules, and escalation limits, then lets an assistant read that policy before it replies. A 14-day trial, then Pro. The price is only at checkout.
Serve a folder of Markdown notes as an MCP server: hybrid search, reading, and sourced answers.
Read-only Chinese Vibe Coding knowledge connector for search, docs, and repo freshness.
x402 clean article text and metadata for AI/RAG. $0.002 per successful article.
x402 PDF text, pages, and metadata for AI/RAG. $0.0015 per successful PDF.
Read-only search over the AI/ML posts, tips and projects of maximofn.com (es/en/pt).
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.
Decide whether an agent should reuse cached URL knowledge or fetch the resource again.
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.
Create your digital twin: a public page that answers from your own material, with citations.
