"Discover" matching MCP servers:

Enables coding agents to run disciplined hunts over public data, enforcing evidence ledgers, calibration controls, novelty checks against catalogues and literature, and fresh-eyes review before any claim is trusted. Human-only decisions such as waivers and expert attestations stay out of reach of the agent.

Enables building targeted company lists from live job boards or SEC filings via the Apify actor, supporting role keywords, locations, and filing phrases.

Read-only market briefings with source evidence and freshness limits. Discover capabilities, check health, browse latest stories, retrieve a story by ID, and search the published archive. Public Streamable HTTP MCP; no credentials or trading execution.

Enables AI assistants like Claude to discover, validate, and simulate all 18 ACTUS financial contract types using JACTUS, with tools for contract simulation, risk computation, and portfolio analysis.

Enables AI agents to discover and enrich real-time B2B company data, including contact details, ratings, websites, and emails, through MCP-compatible clients.

A bridge connecting AI agents to NCBI's PubMed database through the Model Context Protocol, enabling seamless searching, retrieval, and analysis of biomedical literature and data.

Give your AI agent access to 8,400+ software tools — search, compare, get pricing, find alternatives, and discover the best tool for any use case.

Costless-first Model Context Protocol server for discovering DOAJ-indexed journals and articles.

Upload your raw DNA file from 23andMe, AncestryDNA, MyHeritage, FamilyTreeDNA, or any VCF -- and watch a team of AI agents fan out across 16+ public genomics databases, share discoveries with each other in real time, and produce a comprehensive health report. Everything runs on your machine. Nothing is uploaded anywhere.

Enables AI agents and sportsbooks to discover, evaluate, and monitor alternative sports leagues with tools for discovery, valuation, fingerprinting, and market data.

Enables historical options research and regression testing against tastytrade's Backtester API, allowing users to discover backtest coverage, submit and poll backtests, and simulate historical trades without placing orders.

MCP server for discovering, triaging, and monitoring arXiv papers with transparent interest modeling and inspectable ranking.

Enables agents to inspect French public procurement sources, including DECP, BOAMP, buyers, suppliers, and SIRENE data, to discover and summarize public contracts and related context.

Enables discovering and independently validating scholarly metadata from extracted research text using Crossref, OpenAlex, DataCite, and optional read-only Zotero checks, returning ranked and verified reference candidates.

Enables AI-powered search and analysis of Google data through the Perplexity2 API, allowing users to discover insights and enhance decision-making capabilities.

MCP server for ATLAS Open Data that enables LLMs to discover, query, and retrieve public datasets and metadata from the ATLAS experiment at CERN.

Enables users to discover, redact, and upload coding-agent traces, then earn USDC/USDT by selling access to those traces to researchers and model trainers.

Enables AI assistants to discover and query official Census Bureau datasets, geography levels, aggregate statistics, FIPS codes, and population data through MCP tools and prompts.

Enables fast, zero-configuration statistical exploration of any DuckDB, Parquet, or CSV datasets—computing exact Pearson correlations, ranking drivers against a target variable, and detecting regression outliers in under 200ms. It offers three unified modes (pair verification, exhaustive driver scans, and serendipitous cross-domain discovery) with optional per-capita normalization to remove spurious correlations.

Provides programmatic access to curated SNP data by trait, enabling LLM-powered applications to search, interpret, and discover genetic variants.