"SearXNG - Open Source Metasearch Engine" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
Shared error→fix knowledge base for AI coding agents. Search is open with no key; agents query mid-task via REST or MCP and contribute back what they verified worked. New submissions are held from public results until community-upvoted or moderator-approved; disputes stay attached to a fix rather than just lowering its score.
AI product expert answering from live source code, with sources and a verification status.
Read and search exact public source URLs with stable paragraph citations.
SENATRAN: Recall, official-source lookup. Platform-hosted, pay per query with prepaid credit.
Objective-driven deep research: free daily quick search plus MPP-paid cross-source browser reports.
Source-traced evidence research for AI agents. We organise the evidence; you decide.
A high-performance, edge-native Data Refinery Engine built on Cloudflare's serverless AI stack (Workers, Workers AI, D1, KV, Vectorize) designed to continuously ingest unstructured data, refine it into pristine machine-readable structured intelligence, compute semantic diffs, and serve it directly to AI agents via the Model Context Protocol (MCP) and REST APIs.
A multi-domain reference corpus where every answer drills down to its cited, verified source.
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.
Multi-engine search for AI agents. Trust scoring, local corpus, MCP-native. Self-hostable, BYOK.
Author rules from policy docs, then decide: a Rete engine gives the verdict, an LLM explains why.
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.
Real-time fact-check, citation verification, and source-freshness for AI agents.
Christian source evidence for AI agents, with provenance, tradition coverage, and citation checks.
Verified Polish open data for AI agents: debt, budget, 460 MPs, votings, judiciary search, RAG.
The public docs for setting up your own Lore server. A frontier knowledge base that’s minimal extensible and agent-native. Designed to keep shared context current and inspectable
Search source collections your team vetted. Every passage cites its URL and fetch date.
Causal graph memory engine for AI agents. Scores memories using relevance × connectivity × reactivation, connects them in a causal graph, and actively forgets irrelevant ones. 11 MCP tools including store, recall, search, traverse, and explain.
