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pse-edge-mcp

by phdwight
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Python
Remote

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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

    A4.4/5.0

    Scored across 15 tools

    Disambiguation4/5

    Most tools have clearly distinct purposes (quotes vs. history vs. profile vs. financials), and the descriptions explicitly disambiguate the tricky pairs: key_rates vs. policy_rate, search_companies vs. validate_symbol, and search_disclosures vs. search_disclosure_fulltext. Minor residual overlap exists between get_indices and get_market_summary (both return index levels), but descriptions steer usage.

    Naming Consistency5/5

    Every tool follows a consistent snake_case verb_noun pattern (get_*, search_*, validate_*), e.g. get_stock_quote, get_price_history, search_disclosures, validate_symbol. No camelCase mixing or erratic verb styles; the convention is predictable throughout.

    Tool Count5/5

    15 tools is well within the ideal 3-15 range and each tool covers a distinct slice of the PSE data domain (rates, quotes, history, dividends, indices, disclosures, profiles, financials). Nothing appears redundant or padding.

    Completeness4/5

    The surface covers a strong breadth of the domain: identity/search, quotes, OHLC history, dividends/rights, indices, market snapshot, disclosures (metadata + full-text + detail), profiles, financials, and BSP rates. Gaps like level-2 data, historical index series, or gainers/losers exist but some are unavailable at source, so agents can work around them.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources