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christojansen75

Jira/Confluence Team Lead MCP

by christojansen75
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Python
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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

    A3.7/5.0

    Scored across 7 tools

    Disambiguation4/5

    Each tool has a clear focus: connection verification, sprint listing, sprint issue retrieval, developer history, readiness report, Confluence publishing, and Confluence capability checking. The two 'check' tools are distinct in scope (credentials/config vs. instance capabilities), and the three 'get' tools serve different analytical purposes. Minor potential confusion between get_sprint_issues and get_refinement_readiness_report, but their descriptions clarify.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern with snake_case (check_connection, list_sprints, get_sprint_issues, etc.). Verbs are consistent with actions: check for verification, list for enumeration, get for retrieval, publish for writing. No mixed conventions.

    Tool Count5/5

    Seven tools is well-scoped for a Jira/Confluence reporting server. Each tool fills a distinct role: setup verification, sprint navigation, issue analysis, developer performance, readiness reporting, publishing, and format capability detection. No redundancy or bloat.

    Completeness4/5

    The tool set covers the full reporting workflow: verify connection, find sprints, analyze issues by sprint or developer, generate readiness report, and publish results to Confluence. Minor gaps like listing boards or projects are handled through configuration defaults rather than requiring tools. No tool for arbitrary JQL queries, but not necessary for the stated purpose.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources