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PM Context MCP Server

by jackhendon
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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

    A4.2/5.0

    Scored across 7 tools

    Disambiguation5/5

    Each tool targets a distinct aspect of PM context: current sprint, assignee issues, blockers, keyword search, roadmap, workload, and velocity. There is no overlap that would cause an agent to select the wrong tool for a given query.

    Naming Consistency5/5

    All tools follow a consistent [verb]_[noun]_tool pattern using snake_case. The only non-get verb is 'search', but it still fits the same structure, making the naming predictable and uniform.

    Tool Count5/5

    With 7 tools, the server is well-scoped for its purpose of providing PM context. Each tool covers a distinct read-only query without unnecessary redundancy or bloat.

    Completeness4/5

    The server covers core PM context areas like sprint status, issues, blockers, roadmap, workload, and velocity. However, it lacks a direct way to fetch all issues for a specific sprint or retrieve a single issue by ID, requiring search instead. These are minor gaps but not fatal.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources