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Gov Tenders & Grants MCP

Gov Tenders & Grants MCP

by GeminiGeorge22
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A4/5.0

    Scored across 6 tools

    Disambiguation4/5

    Most tools are cleanly separated by geography/source (EU TED, UK Find a Tender, USAspending awards, Legistar meetings), so selection is usually obvious. The one real overlap is between govcon-opportunity-feed (SAM.gov + Grants.gov combined, delta mode) and grants-gov-scraper (Grants.gov only, search mode), which an agent could reasonably confuse when asked for US federal grants.

    Naming Consistency4/5

    All names use a uniform 'publicrecords--<source>-<object>-scraper' kebab-case convention with a shared namespace prefix, making them predictable. The single deviation is 'govcon-opportunity-feed' (feed rather than scraper) and 'eu-ted-notices-scraper' drops the source verb, but the pattern remains readable.

    Tool Count5/5

    Six tools is well within the ideal range and each maps to a distinct data source rather than duplicating surface area. Nothing feels padded, and the set is small enough for an agent to reason over at once.

    Completeness3/5

    The surface covers several major jurisdictions (EU, UK, US federal opportunities/grants/awards, US city councils) but leaves obvious holes such as US state/local procurement portals and non-covered countries, and the SAM.gov/Grants.gov duplication is redundant rather than additive. It also only exposes one-shot run launchers returning dataset IDs, with no tool to fetch a specific notice by ID or page a stored dataset, creating a soft dead end for drill-down.

    Maintenance

    ActivityMaintained
    ResponsivenessSyncing

    Resources