Skip to main content

gds2palace_mcp

gds2palace_mcp: agent assisted RFIC EM simulation

An MCP server for gds2palace. It lets an AI assistant (Claude Code, Claude Desktop, or any other MCP client) inspect GDSII layouts and stackup files, check model scripts, and generate AWS Palace models on your computer.

The server runs locally, in the same Python environment as gds2palace, and works with the files on your disk. It does not run the Palace solver: Palace runs on Linux, as before (run_sim, see the gds2palace documentation).

Installation

pip install gds2palace_mcp

This also installs gds2palace and its requirements (gdspy, gmsh, shapely, numpy), gds_prepare_for_EM, gds_viewer, plot_snp and scikit-rf. It needs gds2palace 0.9.2 or newer, which ships the IHP stackup files and the result tools.

Add the server to Claude Code, using the Python environment where it is installed:

claude mcp add gds2palace -- python -m gds2palace_mcp.server

Or, without installing anything first (needs uv):

claude mcp add gds2palace -- uvx gds2palace_mcp

For Claude Desktop and other clients, add the same command to the client's MCP server configuration.

What it offers

Tool What it does
list_stackups The IHP stackup files that ship with gds2palace (SG13G2, SG13G2 with conformal passivation, SG13CMOS5L)
inspect_stackup Variables, materials, dielectrics, layers with GDS numbers and z positions, derived layers, free port layer numbers. Accepts variable overrides such as {"total_thickness": 100}
inspect_gds Per layer: number of shapes, extent, smallest shape and smallest gap (for choosing the mesh size and via merging). With a stackup, the role of each layer, and which layers gds2palace ignores
check_layout_complexity Before meshing: polygon count per layer (only layers the stackup uses, without flattening the layout, so it is fast for dense fill and via arrays), layout size, polygon density, the layers that dominate, and simplification hints. A report, no pass/fail limit
simplify_layout Writes a simplified copy of the layout, like setupEM's Tools > Simplify GDS: remove floating dummy fill, fill small cutouts, merge via arrays, merge each layer. Layers come from the stackup; returns polygon counts before and after
suggest_mesh_size Before the mesh settings are discussed: traces and coupled lines on the top 2 conductor layers with shapes, and the refined_cellsize that follows from their smallest width or gap (IHP: accurate 2 µm, quick 5 µm by default; other technologies: the smallest feature itself; never larger than the smallest feature), also as a per-layer override
propose_ports For a layout without port shapes: port candidates from pins, labels (integer labels give the port numbers) or open trace ends, each with a reference ground (closest solid ground metal below, else SUBGND)
add_ports Writes a copy of the layout with the confirmed port lines on layers 201 and up, plus the add_port lines for the script
check_ports Checks the ports against the layout before meshing: via port lines on metal of both layers, in-plane ports touching metal at both ends, layer collisions, several shapes on one port layer
check_model_script Checks a model script without running it: settings that gds2palace doesn't read (typos such as nogui are silently ignored by gds2palace), missing required settings, port layers missing from the layer list, removed or legacy settings, a refined_cellsize larger than the layout's smallest trace width or coupled-line gap, and the port check
generate_model Runs the model script without gmsh windows and checks the output: config.json, mesh with node and element counts, port_information.json, run_sim. Estimates the Palace unknowns and peak RAM from the mesh (calibrated on 158 Palace runs). With save_geometry, it also saves the unmeshed geometry
show_in_gmsh Opens the mesh, or the unmeshed geometry, in the gmsh GUI on the user's screen
preview_layout The layout as an image (via gds_viewer) with the ports labelled, for the assistant to look at. IHP SG13G2 colors and patterns; for other technologies, colors from the stackup materials, with a legend
summarize_results Summary of finished Palace runs (gds2palace's palace_summary): unknowns, mesh elements, run time, peak RAM, AMR convergence (Max |ΔS| per iteration, optional plot), Touchstone files found, "did NOT converge" in saved logs
sparameter_summary Numbers from Touchstone files: ports, frequency range, passivity and reciprocity, dB minimum/maximum, dB/phase at chosen frequencies
plot_sparameters dB/phase plots and Smith charts as images for the assistant (via plot_snp), several files in one plot
show_sparameters Opens the interactive plot_snp windows on the user's screen
fit_equivalent_circuit SPICE equivalent circuit (Ngspice/VACASK) from a Touchstone file with snp2le in command-line mode: inductor, MIM capacitor, line, Wilkinson, balun, branch-line structures or a universal vector fit. Needs pip install snp2le
passive_values L or C, R and Q of an inductor or capacitor (differential, single-ended or series), peak Q, self-resonance frequency, optional L/Q plot

Resources: gds2palace://agents-guide (gds2palace's AGENTS.md: workflow, script template, settings, pitfalls) and gds2palace://stackups/<file> (the bundled stackup files and their README).

Prompt: new_model starts a new model: it inspects the layout and asks you for the design decisions (frequency range, ports, stackup, accuracy) before writing the script.

New to MCP? docs/README.md explains what this can and can't do for an RFIC designer, and docs/example_session.md shows a full session with an inductor.

Notes

  • All paths are paths on the computer where the server runs.
  • generate_model runs the script with the Python of the server's environment. If the script adds a local gds2palace folder to sys.path, that copy is used; the result shows which gds2palace version and file were used.
  • With the stdio transport, gds2palace's printed output is captured and returned in the tool results.

License

GPL-3.0-or-later, like gds2palace.

Metadata

Release files for gds2palace-mcp 0.3.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for gds2palace-mcp 0.3.0
File Size Uploaded Provenance
gds2palace_mcp-0.3.0.tar.gz 60.7 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for gds2palace-mcp 0.3.0
File Interpreter ABI Platform
gds2palace_mcp-0.3.0-py3-none-any.whl Python 3 none any Details

Total release size: 126.3 kB

Release files / gds2palace_mcp-0.3.0.tar.gz

Download URL gds2palace_mcp-0.3.0.tar.gz
Size 60.7 kB
Tags Source
SHA-256 checksum
How to use checksums
3582aca9fec4de02e9476c7f4a7ba0b52bedd19c6e0b8782fd10946b5b08d306
BLAKE2b-256 checksum
How to use checksums
ff1f0e66f3ebc2c77497b38c7b18f253a03fd9702f294f1b719c28d13162e6c9
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / gds2palace_mcp-0.3.0-py3-none-any.whl

Download URL gds2palace_mcp-0.3.0-py3-none-any.whl
Size 65.6 kB
Tags Python 3
SHA-256 checksum
How to use checksums
d25a714ef25bc4e223382c630218b121903c565e84ac8206006a3acf29454804
BLAKE2b-256 checksum
How to use checksums
4a3a1f0910b7972e74c23aab8b2ff49dacc8087bd8f9396786f822682205759e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Security for gds2palace-mcp 0.3.0

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page