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sepehr071

cbi-mcp

by sepehr071
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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 11 tools

    Disambiguation4/5

    Most tools target clearly distinct CBI data domains (exchange rates, inflation, policy rates, news, liquidity, publications, statistics, bond auctions, open market). A few boundaries are blurry: cb_liquidity overlaps with cb_statistics('monetary'), and cb_publications vs cb_statistics both involve downloadable statistics files, though descriptions clarify the distinction. Overall the agent can reliably choose the right tool.

    Naming Consistency5/5

    All tools use a consistent 'cb_' prefix followed by snake_case noun phrases (cb_exchange_rates, cb_news_item, cb_bond_auctions). While they are noun-based rather than verb_noun, the pattern is uniform and predictable throughout the set.

    Tool Count5/5

    Eleven tools is well within the ideal range for a domain-specific data server. Each tool covers a distinct CBI data area and none appears redundant or superfluous.

    Completeness4/5

    The surface covers a broad set of CBI data: rates, inflation, policy rates, news, liquidity, publications, statistics tables, sukuk auctions, and open market operations. Minor gaps exist—for example, no dedicated national accounts or banking-sector aggregate tool outside cb_statistics, and news lacks explicit date-range filtering—but agents can work around these.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources