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LogeshR15

Indian Mutual Fund Intelligence MCP

by LogeshR15
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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

    A4/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool targets a distinct facet: resolve_fund handles identity, get_fund_performance covers returns/risk, get_fund_portfolio covers holdings, get_fund_profile covers static metadata, and get_document retrieves verbatim source evidence. The descriptions explicitly delineate boundaries (e.g. profile returns mandate excerpts vs. document retrieves raw pages), so there is minimal risk of misselection.

    Naming Consistency5/5

    Four tools follow a clean get_fund_<noun>/get_document verb_noun pattern, and resolve_fund is a semantically apt deviation for the identity-resolution step. The convention is predictable throughout with no mixed casing or stylistic drift.

    Tool Count5/5

    Five tools is well-scoped for a fund-intelligence server, and each one earns its place by covering a genuinely separate dimension (identity, performance, portfolio, profile, documents). No tool feels redundant or trivial.

    Completeness4/5

    The surface covers the full read-only lifecycle from identity resolution through evidence retrieval, which is coherent for an intelligence (non-mutating) server. Minor gaps exist — benchmark comparators, managers, and TER are explicitly deferred — but they are transparently flagged rather than silently missing.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources