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mcp-github-project-manager

mcp-github-project-manager

by kunwarVivek
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TypeScript
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

    B3/5.0

    Scored across 21 tools

    Disambiguation4/5

    Most tools are cleanly separated by GitHub resource or domain: issues, PRs, releases, workflows, milestones, sprints, labels, and analytics each have a distinct target. However, there is meaningful overlap between agent_manage and agent_work, and between ai_plan, ai_generate, ai_analyze, and analytics, which could cause misselection for planning/analysis tasks.

    Naming Consistency4/5

    The naming is consistently snake_case and mostly follows predictable prefixes such as manage_*, ai_*, and agent_*. Minor deviations exist: some names are noun-only (analytics, system), and singular/plural patterns vary (manage_project vs manage_issues, manage_prs abbreviation).

    Tool Count3/5

    At 21 tools, the server is on the heavy side for an MCP surface, though the use of compound action-based tools mitigates some complexity. The broad project-management scope justifies many categories, but the count is still borderline and could overwhelm agents choosing among similar AI/agent tools.

    Completeness4/5

    The surface covers a broad GitHub project-management lifecycle: projects, issues, PRs, milestones, sprints, iterations, releases, workflows, branch protection, analytics, AI assistance, and agent coordination. Some minor gaps remain, such as limited label lifecycle operations and incomplete comment/review management, but core workflows are well covered.

    Maintenance

    ActivityActive
    ResponsivenessLimited data

    Resources