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hanjiajiade

trade-agent-mcp

by hanjiajiade
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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

    A3.5/5.0

    Scored across 10 tools

    Disambiguation4/5

    Most tools target clearly distinct activities: research, market scanning, pricing, red flags, search, scoring, outreach, persona, orchestration, and claim classification. Minor overlap exists between plan_pipeline and research_company/scan_market (all plan or list missing info) and between research_company and check_redflags (both address red flags), but descriptions mostly clarify boundaries.

    Naming Consistency5/5

    All ten tool names follow the same snake_case verb_noun pattern: research_company, scan_market, calc_quotation, check_redflags, web_search, score_products, draft_outreach, generate_persona, plan_pipeline, classify_claim. There is no mixing of conventions or vague generic verbs.

    Tool Count5/5

    Ten tools is well-scoped for a trade-agent server. Each tool serves a distinct stage in the trade workflow—research, market analysis, quotation, risk assessment, search, product scoring, outreach, persona generation, orchestration, and claim verification—without redundancy or bloat.

    Completeness5/5

    The toolset covers the full trade-agent lifecycle: finding and qualifying companies, scanning markets, calculating quotations, checking red flags, scoring products, generating personas and outreach emails, orchestrating pipelines, and classifying claims. There are no obvious dead ends; missing formal document generation (e.g., PIs) is a minor extension, not a core gap.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources