"vercel" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Research methods for AI assistants: study design guidance, R and Python code, and citations
Two read-only metadata tools for discovering the MyQuant app and checking public surface health. Briefing content is available through the separate MyQuant Editorial connector.
Indonesian news for AI agents: headlines, keyword search, coverage reports.
Software prices for AI agents: hosting, SEO, backup, antivirus, email and more. True 3-year cost
Indonesian news for AI agents: headlines, keyword search, coverage summaries. Free MCP tools.
Read-only: which LLM is best in 7 languages (zh, ko, nb, de, nl, es, pt), from public benchmarks.
Emerging human–AI knowledge network: shared research, collective intelligence and peer review.
What an arXiv paper builds on, disputes and assumes, read verbatim from its LaTeX. No LLM.
Audited indie product business cases with source-backed pricing, revenue and pricing benchmarks.
23-in-1 MCP server: EVM tx simulator, funding rate arb, macro radar, swap calldata & security.
A molecular biology bench for AI assistants: cloning and assembly, PCR and primer design, CRISPR, Sanger verification, qPCR and dPCR, alignment and phylogenetics, genomics, proteins and cheminformatics. Calculated by engines checked against the field's reference tools, with every result explained. No auth, stateless, free.
Research paper search with real citations and reference formatting for AI assistants
USPTO patent search and prior art lookup. Not legal advice
Tells you whether a trading strategy's edge is distinguishable from luck.
Governed external-environment scanning: signal harvest, Field Intel Reports, per-signal lineage.
Human-in-the-loop user research: ask real people what the web can't answer, get verbatim replies
Real estate deal memo from a US address: AVM, rent, comps, cap rate, cash-on-cash, DSCR, red flags.
x402 contract tools and premium portfolio scans for AI agents on Base.
XFMS picks the right LLM model for any stated task. You give it a concrete purpose ("fixing bugs in a Python codebase", "summarizing 50-page commercial leases"), and it infers which quality benchmarks matter, weighs every model in its catalog against those dimensions, and returns a ranked shortlist with plain-English rationale per pick. The catalog updates continuously from 8 independent third-party evaluators — no provider self-reports, no single-source benchmarks.
Free public MCP server for AI agents to research public companies using SEC filings, financial changes, material events, insider transactions, and structured company data.
