"Transcribing Voice Conversations into Structured Meeting Notes" matching MCP connectors:

Structured iGaming reference: slot specs & RTP variants, providers, regulators, news and jobs.

Search scientific papers with structured experimental data from full-text studies

Structured aquarium, marine, terrarium and paludarium data for AI agents.

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

Turn raw customer feedback into evidence-cited specs (free, no key) plus 16 PM tools.

Extract structured insights from videos, podcasts, articles, and PDFs with multi-model AI

Extract structured data from Bills of Lading: parties, ports, containers, incoterms. EU-hosted.

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.

Query published LifeLongEdge Edge Lab trading-system research studies as structured data.

Competitive intelligence for autonomous AI agents. Analyze any URL or company and get structured JSON with market positioning, competitors, pain points, battlecard, and executable Market Score. 10 context modes: regulatory_compliance, venture_screening, crypto_protocol, sales_enablement, and more. Pay-per-call via x402 on Base and Solana.

DailyMed MCP — FDA Structured Product Labels via NLM

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.

AQUAVIEW MCP is a hosted Model Context Protocol server that gives any LLM agent direct access to 700,000+ oceanographic, atmospheric, and marine datasets from 68 authoritative sources — NOAA, IOOS, World Ocean Database, Argo, GOES-R, NEXRAD, ESA Sentinel, and more. Ask in plain English; the server returns structured results with direct download links for NetCDF, GRIB2, GeoTIFF, and CSV files.

AI-powered startup due diligence. Screen any startup across 7 IMPACT-X dimensions, get a Sieve Score (0-140) with evidence-typed findings and a clear meeting recommendation. Built for VCs, solo GPs, and angel investors.

Airline seat quality scores (1-10) with notes. 61+ configs across 10 US airlines.

A unified biomedical graph database that integrates 50+ primary data sources — genes, proteins, compounds, diseases, pathways, and clinical data — into a single queryable graph with billions of cross-reference edges. Its native MCP server gives LLMs direct access to structured, authoritative biomedical data, complementing their reasoning with reliable identifiers and up-to-date database content.

AudioAlpha turns 100+ daily finance and crypto podcasts into structured intelligence — α-sentiment scores, narrative signals, asset mentions, transcripts, and market snapshots with 40+ custom metrics. Built for AI-driven research and trading workflows.

mrmarket.ai is a remote MCP server that resolves financial research questions against clean, structured market data. Multi-factor screens, rankings, cohort-relative comparisons, point-in-time event studies, and forward-return analysis across 11,000+ US-listed tickers, returned as structured rows.

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).

Find the companies others miss — verified, long-tail company search. Describe what you want (or pass structured filters) and get an LLM-verified, domain-keyed shortlist your agent can act on.