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chaosAIman

CadenceAI MCP

by chaosAIman
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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

    A3.6/5.0

    Scored across 13 tools

    Disambiguation4/5

    Most tools target distinct actions/resources (parse, find, run, generate), but cadence_probe vs cadence_env_vars and allegro_batch_commands vs safe_batch_commands have overlapping diagnostic/listing purposes. Descriptions clarify the differences, so an agent can usually disambiguate.

    Naming Consistency4/5

    All names use snake_case, which is consistent. However, the set mixes verb_noun patterns (parse_circuit_dsl, generate_spice_netlist) with noun phrases (cadence_probe, allegro_batch_commands), so it is not a perfect single convention.

    Tool Count5/5

    13 tools is well within the ideal 3-15 range for a specialized EDA assistant. Each tool appears to cover a distinct step in the Cadence workflow, from discovery to simulation.

    Completeness4/5

    The surface covers environment probing, file discovery, DSL/netlist generation, batch execution, and simulation. Minor gaps remain around direct .brd mutation and deeper Allegro database editing, but core AI-assisted workflows are supported.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources