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GroundTruth - Environmental Records

ai.agentlookups/groundtruthVersion 1.0.1

Federal environmental records near any US location, with dates and provenance; never a safety score.

Status

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Last checked
Nov 14, 2026, 13:26 UTC
Latency
384 ms
Remotes responding
1 of 1
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Hosting
Hosted outside the EU (detected)
Registry data as of
Nov 14, 2026, 22:14 UTC

Data from the official MCP Registry, checked by run.zero. How we check

Connect

Streamable HTTP
https://env.agentlookups.ai/mcpResponds384 ms
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Claude Code

claude mcp add --transport http groundtruth https://env.agentlookups.ai/mcp

Claude Desktop and claude.ai

Settings > Connectors > Add custom connector
Name: groundtruth
Remote MCP server URL: https://env.agentlookups.ai/mcp

Cursor

{
  "mcpServers": {
    "groundtruth": {
      "url": "https://env.agentlookups.ai/mcp"
    }
  }
}

VS Code

code --add-mcp '{"name":"groundtruth","type":"http","url":"https://env.agentlookups.ai/mcp"}'

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Tools

4 tools

Tools of GroundTruth - Environmental Records
Read-only
Idempotent
Open world
broadband_availabilityFixed broadband availability for a US location from the FCC Broadband Data Collection (BDC), counted per 2020 Census block: each provider and technology the FCC data lists in the block, with advertised maximum download and upload tiers in Mbps and how many of the block's locations each covers (residential and business-only counts). FCC data as of 2026-06-30 (release J26_10nov2026). Wired and fixed wireless service comes first; satellite service is listed last, in its own section. Where a point is in no Census block with FCC data, counts are for the surrounding H3 cell. A block where the FCC records no locations (often a park, a plaza or a street) lists no providers; the building's own address finds the block it sits in. Speeds are advertised maximums reported by providers, not measured speeds. The FCC data has no street addresses, so it cannot confirm service at one house. Input is either a street address (geocoded by the US Census geocoder) or lat/lon coordinates.NoYesYesYes
drinking_waterPublic water systems for a US location, from EPA's quarterly drinking-water data (SDWA; GroundTruth checks for a new quarter monthly), with health-based violation summaries, counts of missed or late required tests (monitoring and reporting violations), and each system's latest lead 90th percentile. Input is a street address or lat/lon coordinates (the US Census geocoder gives the county and place, and the point is checked against EPA's Community Water System Service Area Boundaries; a point outside every boundary returns no systems and a message that the home may use a private well or the map may miss its system), or a two-letter state with an optional county and/or city. Each system carries match_basis: service_area_boundary, zip, city, county or state. Some of EPA's boundaries come from states and water systems and the rest are modeled by EPA, so matching is approximate; the user's water bill names their actual utility. Systems are listed by population served, and the order does not say which system serves a given home.NoYesYesYes
environment_nearEnvironmental records within a radius of a US location, from GroundTruth's monthly snapshot of three EPA datasets: National Priorities List (Superfund) sites, facilities from the newest Toxics Release Inventory (TRI) reporting year, and active facilities with a current significant-noncompliance or high-priority-violation flag in EPA ECHO. Each record carries its distance, and provenance gives each dataset's source and snapshot date (as_of). A Superfund distance runs to the nearer of the area EPA maps for the site (distance_to: epa_site_boundary, 0 with inside_site_boundary true inside it) and the one point EPA lists for the site (distance_to: epa_listed_point); each record gives both. Where EPA maps no area, a site that stretches out (a canal, a river, an underground plume) can reach closer than its point. Input is either a street address (geocoded by the US Census geocoder) or lat/lon coordinates. Results are records, not a safety assessment. An empty list means the snapshot holds no such record within the radius. EPA holds other records this tool does not search (Superfund sites not on the NPL, earlier TRI years, facilities without a current noncompliance flag), and an empty result does not mean the area is free of contamination.NoYesYesYes
location_scoresLayer scores for a US location: school quality, natural hazards, groundwater contamination, Superfund proximity, air quality, highway noise, walkability, crime, and climate pleasantness (pleasant days/year). Scores are 0-1 with 1.0 = favorable; null = cannot score that layer here. The scores are model estimates drawn from public datasets, not safety ratings. no_coverage marks a layer that is null because this location lies outside that layer's data, and caveats.<layer> says why. When a layer's number has limits the score alone does not show (a proxy, partial source data), caveats.<layer> states them. Superfund proximity weighs each cleanup site by the nearer of the area EPA maps for it and the one point EPA lists for it; where EPA maps no area, a site that stretches out (a canal, a plume) can be closer than the score reflects. The scores are not a safety assessment, and an absence of adverse signals is not a clean bill of health. Coverage: Superfund/toxic-release proximity national; air quality, groundwater, and natural hazards a San Francisco Bay Area grid (lat 37.0 to 38.6, lon -122.8 to -121.4, which also takes in Sacramento), null elsewhere; highway noise Bay Area; walkability California; schools all 50 states and DC (2023-2025 results); climate CONUS (gridMET 4km, 2015-2024); Alaska, the Florida Keys, Hawaii, Puerto Rico and the US Virgin Islands (Daymet V4, 2011-2020); within 40 km of 3 NOAA weather stations in American Samoa, the Northern Mariana Islands and Guam (2016-2025); null elsewhere; crime police incident feeds inside the city limits of San Francisco; Oakland; Chicago; New York City; Los Angeles; Dallas; Washington, DC; and Kansas City, Missouri only. School scores draw on the Stanford Education Data Archive (SEDA), whose terms require naming it as the source: Reardon, S. F., Ho, A. D., Shear, B. R., Fahle, E. M., Kalogrides, D., Saliba, J. (2024). Stanford Education Data Archive (Version 5.0). [https://purl.stanford.edu/cs829jn7849] [https://doi.org/NoYesYesYes

Details

Registry status
Active
Published
Aug 26, 2026
Updated
Aug 26, 2026
Repository
Not given
Categories
Uncategorized
GDPR
Not declared

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