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TheTsungYing

io.github.TheTsungYing/annealbridge

by TheTsungYing
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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

    A4.7/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool has a clearly distinct role: validating, solving, querying capabilities, and ranking backends. Even though validate_optimization_problem and solve_optimization both report warnings, their purposes are explicitly separated and cross-referenced, so an agent should not confuse them.

    Naming Consistency5/5

    All tool names follow a consistent snake_case verb_noun pattern: validate_optimization_problem, recommend_backend, get_optimization_capabilities, solve_optimization. The verbs are descriptive and uniform in style.

    Tool Count5/5

    Four tools is a well-scoped set for this server's purpose: validate before solving, solve the main task, inspect capabilities, and get backend recommendations. Each tool earns its place without redundancy or bloat.

    Completeness5/5

    The tool surface covers the full workflow of an optimization server: understanding accepted problems, validating them, choosing a backend, and solving. No obvious dead ends or missing core operations are apparent for the stated domain.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources