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Related Servers

Alternatives to Text2Sch

No user-submitted related servers found.

    Related Servers

    • A
      license
      A
      quality
      B
      maintenance
      Enables AI agents to turn natural-language hardware prompts into deterministic schematics and netlists, query live LCSC parts data, validate designs, calculate trace impedance, and estimate PCBA BOM costs through stdio MCP tools and resources.
      84
      188 PyPI
      1
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      Enables MCP clients such as Claude Code to work on KiCad 10 designs by driving kicad-cli for ERC, DRC, netlists and fabrication exports, KiCad's IPC API for live board editing, and lossless edits of schematic and project files. It also provides design review, routing, parts and datasheet tooling so a board can be treated as data and checked against fab limits.
      35
      3
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables MCP-capable AI agents to generate and reorganize schematics, resolve LCSC components, place and route PCBs with custom DRC constraints, inspect design data, and safely apply, repair, or restore changes in native EasyEDA Pro and JLCEDA documents.
      216
      MIT
    • F
      license
      Not graded
      quality
      C
      maintenance
      An MCP server that enables language models to design real KiCad electronic schematics from plain-language descriptions, placing parts, wiring nets, and running KiCad's electrical rules check to produce editable .kicad_sch files.
      3
      -
    • F
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to automate 嘉立创 EDA Professional through MCP, including schematic and PCB editing, component search and placement, net routing, DRC, and design capture.
      -
    • A
      license
      A
      quality
      A
      maintenance
      This MCP server enables AI agents to understand and analyze electrical schematics from Cadence and Altium for comprehensive design reviews through natural conversations.
      11
      1,531 npm
      63
      Apache 2.0

    TDQS

    B3.1/5.0

    Scored across 8 tools

    Disambiguation3/5

    The set has three near-parallel pairs: validate, prepare, and build each have both a library-based and a non-library variant. Descriptions explain the DbLib distinction, but an agent could still choose incorrectly when the project context is unclear.

    Naming Consistency4/5

    All tools use the altium_ prefix and snake_case action names, with library variants adding a clear library_ segment. The pattern is predictable, though the optional resource segment makes it slightly less uniform than a strict verb_noun scheme.

    Tool Count5/5

    Eight tools is well-scoped for a Text2Sch Altium workflow. Each tool maps to a distinct stage or diagnostic purpose, with no excessive surface.

    Completeness4/5

    The surface covers diagnostics, library querying, validation, preparation, and project build, forming a plausible end-to-end workflow. It lacks explicit update/delete or modification operations for existing projects, but those may be intentionally out of scope for a new-project generator.

    Maintenance

    ActivityMaintained
    ResponsivenessNo recent community issues