"Land Rover" matching MCP servers:

Enables governed analytics and research on land development optionality, infrastructure proximity, and stewardship via MCP tools that provide transparent screening heuristics and reproducible evidence.

Enables MCP clients to screen lab results against published criteria with deterministic Python, search Australian contaminated-land guidance with cited passages, and draft guarded results sections whose numbers and citations are validated. All four tools are read-only and keep figures and citations under code control for a qualified person to check.

MCP server exposing public NASA APIs (APOD, Mars rover photos, near-Earth objects, Earth imagery) with tools, a resource, and a prompt, providing visual Markdown responses and a Spanish-language space briefing skill.

Enables interactive access to JAXA's satellite observation data (precipitation, land surface temperature, NDVI, elevation, soil moisture) via Claude, providing tools for point time series, dataset information, and area image generation.

Enables AI coding agents to score any geographic coordinate for ecological and agricultural land suitability by analyzing satellite and climate data, returning a weighted score with per-metric breakdowns for vegetation, water, terrain, and more.

Enables users to resolve historical US land and jurisdiction questions: which county held a given spot on a specific date, where a federal land description (PLSS) falls on the ground, and which National Archives series and file hold the case behind a land patent. All lookups are read-only and can be used alongside archive-search tools to route records requests to the right office.

Calculates soil moisture index (SMI) from ERA5-Land data, providing MCP tools to fetch and extract point time series.

Enables AI assistants to query historical weather and climate normals for any land location using 1 km grids from 1961 to today, including daily, monthly, and annual values, trends, and CSV or GeoTIFF downloads.

Enables querying the UN Food and Agriculture Organization's FAOSTAT statistics, covering crop and livestock production, food balance, trade, land use, emissions, food security, and producer prices for 245 countries since 1961. Provides tools to discover statistical domains, dimension codes, and retrieve observations with units, years, and quality flags.

A feature-rich NASA data query tool that supports various NASA API services including astronomy pictures, Mars rover photos, Earth satellite images, near-Earth objects data, and space weather information through natural language queries.

Provides access to NASA's public APIs including Astronomy Picture of the Day, Mars Rover Images, and Near Earth Objects data, enabling users to query and retrieve space-related information through natural language.

Production-ready satellite imagery analysis server that enables natural language queries for Earth observation data, including land cover classification, vegetation monitoring, water detection, change detection, and automated environmental reporting.

Enables an agent to test a draft script's references against a specific audience's taste, scoring each name as lands, risky or won't land for a room and for each tour city. It also finds stand-in references the crowd knows better, compares several rooms at once, and surfaces fans, crowd hooks and preset rooms for the writing at hand.

MCP server for DMAP-AI drought monitoring and SPI drought analysis using NASA POWER and ERA5-Land/CDS data.

Provides tools to explore and analyze Yerevan land-use classifications across 2015, 2020, and 2024 using H3 hexagons, including class composition, transitions, and spatial queries. Enables users to retrieve hex details, compute change summaries, and export GeoJSON through natural language.

Turns the AWS Registry of Open Data and public STAC catalogs into agent-callable tools for dataset search, STAC queries, and NDVI/NDBI/land-cover analysis on Sentinel-2 imagery.

Provides access to NASA's open APIs including astronomy imagery, Mars rover photos, asteroid tracking, Earth observations, and media library through natural language interaction.

Provides real-time NASA data (APOD, asteroids, Mars rover photos, natural events, space weather) via natural language queries or menu-based interaction, requiring no API key for basic use.

MCP server that wraps three NASA public APIs (Astronomy Picture of the Day, Mars rover photos, and near-Earth objects) as tools for AI assistants.

Give AI agents cited funding, money-market, FX and capital-market evidence through 16 public MCP tools. Keep source dates, freshness checks and coverage gaps attached; China macro coverage is metadata-only. No API key is required for the public surface. Research context only; no trade execution.

CNN's Fear & Greed index for the US stock market: current score and rating, the seven component indicators, and about a year of daily history. Go standard library only, no API key required.

Classifies company sites as B2B or B2C and as SaaS, online store, agency, manufacturer, wholesaler, distributor, or marketplace, while matching your own buyer phrases and returning the quoted text and page as evidence. Runs deterministically on Apify, giving one row per domain with grace-free status rows for unreachable, blocked, or empty sites.

Deterministic US equity-compensation tax optimizer. Six tools cover ISO/AMT exercise scheduling, NSO sell-vs-hold, RSU vest-and-sell, single-stock concentration, protective put / zero-cost collar pricing, and Section 1202 QSBS qualification. Federal plus 50-state plus DC tax math.

One-call Australian health and welfare data plumbing via AIHW — cited responses for practical analysis, not a data broker.

Given a company domain or name, it checks ten app marketplaces — HubSpot, Salesforce AppExchange, Slack, Zapier, Shopify, Atlassian, Chrome Web Store, Microsoft, Google Workspace, and WordPress — to report where the company is listed, with each listing's URL, installs, rating, review count, and match confidence. Useful for competitive research and partner-ecosystem audits across many domains in a single run.

Enables users to pull portfolio company lists from Y Combinator, a16z, Sequoia, Accel, and other investors or any portfolio page URL, returning one row per company with name, domain, website, description, and stage or batch. Runs on Apify and produces Clay-ready output, with YC results filterable by batch, industry, region, status, and search terms.

Institutional-grade quantitative stock analysis and research signals for AI agents via the Model Context Protocol (MCP).

Provides an MCP server for querying a dataset of 350 Indian startups' marketing channels by stage, sector, and budget, enabling evidence-based channel selection through natural language.

Gives AI assistants read-only, key-free access to Sentinel-2 NDVI time series, ESA WorldCover land-cover shares, and Copernicus 30 m elevation and slope for a point or small area, returning the scene IDs, units, and caveats behind every number. Built-in sanity checks and a verify tool recompute key values through an independent path so the assistant can flag cloudy, low-confidence, or mismatched results instead of guessing.

Wraps AlphaGeometry2's DDAR engine to prove geometry theorems via symbolic reasoning. Enables users to input problems in AG2 format and receive proof status.