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glm-mcp

by No-Compromise-AI
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    Deploy Server
    Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

    TDQS

    A4.4/5.0

    Scored across 3 tools

    Disambiguation4/5

    glm_ask and glm_review both send prompts to GLM, which could cause some overlap, but glm_review's strict VERDICT format and diff/spec input make its purpose clearly distinct. glm_models is wholly separate.

    Naming Consistency4/5

    glm_ask and glm_review follow a consistent verb-first pattern, while glm_models breaks it by using a noun instead of a verb like list_models. Minor deviation, but the prefix keeps the family recognizable.

    Tool Count5/5

    Three tools is within the ideal 3-15 range and each tool earns its place: one for general prompting, one for structured review, and one for model discovery. The scope is tightly focused.

    Completeness5/5

    For a GLM-oriented server, the surface covers the core needs: asking questions, reviewing changes against a spec, and listing available models. No obvious dead ends or missing operations within the stated purpose.

    Maintenance

    ActivitySlowing
    ResponsivenessResponsive

    Resources