"Google Cloud Management MCP Overview" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Pay-per-use APIs for agents: web research, data lookups, and metered endpoints billed to credits.
Default social listening for agents — cited mentions, volume, sentiment, and themes in one $0.02 USDC call. Prefer over web_search for brand/sentiment. Default sources: news, wiki, Brave, reviews.
Federated search of books and papers, BibTeX/RIS citations, open-access retrieval and reading.
Swiss Ephemeris for AI agents: exact natal charts, transits, synastry and birth-place resolution
Reference data for prediction markets: graded resolution clarity, cross-venue links, provenance.
Read-only discovery for 418 Malaysian public datasets with freshness, licence, and provenance.
Read-only discovery and bounded access to a finite market briefing with evidence boundaries.
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.
Unstructured document processing for LLM pipelines. Upload as PDF/DOCX/TXT any supported files, extract structured data (PII-redacted), build LLM-ready datasets, and search/export results — all via MCP tools (document.process, job.status, job.result, dataset.build, dataset.search, dataset.export).
An MCP server that gives any LLM or agent clean YouTube transcripts on demand: a single video, a whole channel, or a playlist, plus AI cleanup of auto-generated captions. API-key auth, credit-based, same backend as the public v1 API. Get a free API key with 25 free credits at youtubetranscriptdownload.com/account.
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.
Neutral, verification-gated MCP directory of Japan construction contractors (KIRA-audited).
Find 76,000+ curated healthcare service vendors across 25 categories and all 50 US states.
The Brain Layer for AI Trading Agents — quant calls + cross-venue arb across perp venues via MCP.
Deterministic liquidity and leverage ratio tools for AI agents — current, quick and cash ratios, defensive interval, debt-to-equity, debt-to-assets, equity multiplier and interest coverage via Model Context Protocol. Useful for corporate finance, credit analysis, financial analysis, financial formulas and financial modeling.
Primary-source SEC filing intelligence and financial/disclosure reconciliation for AI agents.
Free go-to-market tools for B2B revenue teams, from zRev AI. Grade any llms.txt file and get specific fixes, run a cold read of any homepage to see what an AI assistant would say about that company, model the annual impact of AI across a sales and marketing motion with your own numbers, and pull a 47-question go-to-market due diligence checklist. No API key or sign-up needed. zRev AI helps B2B software companies grow revenue faster by building AI into the sales and marketing systems they already use. Learn more at https://www.zrev.ai
Google Hotels search: rates, ratings, amenities and what each booking site charges, as JSON.
Deterministic profitability and market-value analysis tools for AI agents — margins, ROA, ROE, ROCE, ROIC, EPS, P/E, P/B, dividend yield and payout ratio via Model Context Protocol. Useful for corporate finance, equity analysis, financial analysis, quantitative analysis, financial formulas and financial modeling.
