"SearXNG - Open Source Metasearch Engine" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
Catch AI-fabricated citations (real DOI + fake title). Retraction, open-access, 10,000+ CSL styles.
Federated search of books and papers, BibTeX/RIS citations, open-access retrieval and reading.
Money, FX, capital-market and metadata-only China macro evidence with source clocks and limits.
Measured share of answer for 24 crypto and Web3 brands. An open dataset, not an audit of your site.
Measured share of answer for 20 SaaS brands. An open dataset, not an audit of your site.
Open AI Visibility Index for crypto and Web3. Weekly share-of-answer measurements for 24 tracked brands across ChatGPT, Perplexity and Gemini, from a frozen versioned prompt panel. Five read-only tools: full index, per-brand lookup, brand list, complete measurement history and methodology. No auth, no API key. Data is CC BY 4.0 with a permanent archive of every weekly snapshot, so any figure can be verified independently.
Open AI Visibility Index for SaaS and AI tools. Weekly share-of-answer measurements for 20 tracked brands across ChatGPT, Perplexity and Gemini, from a frozen versioned prompt panel. Five read-only tools: full index, per-brand lookup, brand list, complete measurement history and methodology. No auth, no API key. Data is CC BY 4.0 with a permanent archive of every weekly snapshot, so any figure can be verified independently.
Official MCP: continuous supply-chain risk monitoring and early warning, not a one-off report. Register and create a key at https://supplygraph.ai/zk_chat_os/dashboard/dashboard.html — if you are not signed in you will be redirected to login; new users can register there. After login, open A2A / MCP and click Create Production Key or Create Sandbox Key. Send the header as Bearer <api_key> (one Bearer prefix, then the raw key). Optional for initialize and tools/list; required for tools/call.
Taiwan stock market data (TWMD): official-source, point-in-time-safe datasets via read-only tools.
Open scientific and engineering knowledge for AI agents: search, evidence, document publishing.
Resolve scholarly identifiers (DOI, PMID, ISBN, arXiv, ISSN, ADS, WHO IRIS) into citations (10,000+ CSL styles) and exports (BibTeX, RIS, EndNote...), plus retraction, open-access, and citation-fabrication checks. Six tools, anonymous-friendly Streamable HTTP.
Validate startup ideas with behavioral evidence — not opinion. Demand Discovery AI™ is a sales-agent MCP that answers founders' questions about the validation framework, the four data-signal categories (Search & attention, Conversation & pain, Adoption & spend, Capital & hiring), the Demand Score™, and the Build/Pivot/Kill verdict™. Includes 7 tools: ask a free-form question, get the validation framework, get product details, explain demand signals, compare validation approaches, get data-source
ILO labour statistics (ILOSTAT) with full provenance: source, vintage, license. 4 tools.
Validated trading edges across futures, equities, crypto. Live signals, full audit trail.
SigB (Signal Bureau): maintained, source-traced record of entities and events in your named domain.
Autonomous research agent that pays every source it cites in USDC on Arc via x402 micropayments.
Ask Lever the messy recruiting-ops questions dashboards miss by connecting opportunities, applications, stages, notes, feedback, interviews, referrals, postings, requisitions, offers, users, sources, tags, files, resumes, and archive reasons. Find referral SLA misses, stale opportunities by owner, feedback debt by interviewer and hiring team, funnel leakage by recruiter/source/team, requisition fill-risk, offer hygiene gaps, archive-reason drift, and bottleneck owners. No dashboard build. No SQL
Official data with free samples, provenance, aggregations, freshness and agent-ready insights.
Ask Recruitee the recruiting-ops questions dashboards miss by connecting candidate search, opening offers, departments, locations, published roles, owner fields, custom fields, public applications, and talent-pool context. Find stale candidate pools, overdue stage work, hiring-manager and recruiter bottlenecks, department-level opening risk, public posting gaps, source patterns, and the owners behind blocked hiring work. No dashboard build. No SQL.
Find novel, statistically validated patterns in tabular data — hypothesis-free.
