"Overview of Command Line Interface Usage" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
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.
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.
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.
Foliora MCP for public discovery, account reads, and agent execution of human-approved changes.
Serve a folder of Markdown notes as an MCP server: hybrid search, reading, and sourced answers.
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.
Connect to Hugging Face Hub and thousands of Gradio AI Applications
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.
Real-time web search with answer-ready results for Claude, Cursor and any MCP client. A Tavily alternative: same speed, 20.2% fewer tokens, higher answer quality (60.7% of decided duels won) on a public benchmark. Hosted on mcp.serpdive.com or npx serpdive-mcp.
The most reliable and accurate context for legal AI with benchmarks and clarity on accuracy. Starting in IP, our server offers free/metered usage options for AI and agents to recieve proper context to answer any legal AI question.
Google AI Overview answers and cited sources via the Apify Google AI Overview API, hosted MCP.
Map text into knowledge graphs to create a structured representation of conceptual relations and t…
LLMtoMD is the memory layer for AI coding agents. It converts any document — PDF, DOCX, slides, spreadsheets, images, audio, even whole websites — into clean, structured Markdown, then exposes it over MCP so your agent can search your FRDs, specs, and API docs on demand instead of re-reading (or forgetting) them.
AI agents hallucinate SaaS pricing constantly. PriceOf fixes that with structured, verified data — 50+ products with confidence scores, freshness scores, and last-verified timestamps.
Fact-checks generated content against your sources of truth showing what to trust, change, & verify.
Exam-scored knowledge brains your agent searches over MCP, plus a public list of their gaps.
Same functionality, consuming only 1/20 of the context window tokens.
Medical RAG: semantic search for clinical guidelines, drug interactions, diagnoses & EHR data.
Let your agent work from real research instead of guessing: search papers, check what supports or contradicts a claim, and publish back. Two roles: researcher and governance.
