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pgang002

nfip-mcp-server

by pgang002

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Alternatives to nfip-mcp-server

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    Related Servers

    • A
      license
      A
      quality
      D
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      An MCP server that gives AI assistants direct access to the FEMA National Flood Hazard Layer (NFHL) for flood zone lookups, FIRM panel information, and flood map data in the United States.
      6
      5 npm
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    • F
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      quality
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      MCP server that queries FEMA's National Flood Hazard Layer (NFHL) for flood zone information, including flood zone codes, Base Flood Elevation, FIRM panel numbers, and identifies LOMRs/LOMAs from provided coordinates, enabling automated flood risk lookups.
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    • A
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      An MCP server that gives AI agents grounded access to US natural-hazard data — weather alerts, forecasts, earthquakes, and FEMA flood zones — from free, keyless US government APIs.
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    • F
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      Remote MCP server exposing US Census (ACS 5-year) and FEMA flood data. Works as a connector in both Claude and ChatGPT.
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    • A
      license
      Not graded
      quality
      A
      maintenance
      Query FEMA disaster declarations, public assistance grants, housing aid, and NFIP flood insurance claims via MCP. Supports STDIO and Streamable HTTP.
      83 npm
      1
      Apache 2.0

    TDQS

    A4.3/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: listing flood events, retrieving a single claim, searching claims by filters, and producing aggregate statistics. There is minimal overlap in functionality, and descriptions make the boundaries obvious.

    Naming Consistency4/5

    Three tools follow a consistent verb_noun pattern: list_flood_events, get_claim, and search_claims. claims_summary breaks the pattern by using a noun phrase, though it is still clear and readable.

    Tool Count5/5

    Four tools is a well-scoped size for a read-only NFIP claims data server. Each tool covers a distinct query need without redundancy or bloat.

    Completeness4/5

    The surface covers the core read-only workflows: enumeration, single-record lookup, filtered search, and aggregate statistics. Minor gaps exist, such as summary filtering by flood event or year, but these do not create dead ends for common use cases.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues