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Arashomranpour

VerifierMCP

by Arashomranpour
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Python
Hybrid

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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

    A3.8/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool targets a clearly distinct validation domain: symbolic math, code execution, JSON Schema, dimensional units, and regex testing. There is no overlap in purpose; an agent can easily select the right tool based on the task type.

    Naming Consistency5/5

    All names follow a consistent snake_case verb_noun pattern: verify_math, run_code, validate_schema, check_units, test_regex. The verbs are distinct but appropriate to each action, and the naming is highly predictable.

    Tool Count5/5

    Five tools is a well-scoped size for a verification toolkit, covering a focused set of common checking tasks without redundancy. Each tool earns its place and the set feels neither bloated nor thin.

    Completeness4/5

    The set covers core verification areas (math, code, schema, units, regex) with no dead ends within those domains. Minor gaps exist, such as XML/YAML schema validation or tolerance-based numeric comparison, but agents can work around them with run_code.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources