Open-source, license-free MCP server for RTL waveform debug (name-reservation placeholder; full release coming soon).
Project description
wave-mcp
This is a name-reservation placeholder (v0.0.1). The full release is coming soon.
wave-mcp is an open-source, license-free MCP server for RTL waveform debug,
backed entirely by open-source data sources — FST waveforms + a pyslang RTL
netlist. It gives an LLM a set of waveform-debug tools (design hierarchy,
signals, signal values, connectivity/drivers, and cross-module value tracing)
with no commercial license required and unlimited concurrency.
It does not run a simulator — you produce the waveform with your own flow
(Verilator --trace-fst, or convert a VCD to FST) and hand the result to it.
- Source & docs: https://github.com/your-org/wave-mcp
- License: MIT
pip install wave-mcpwill install the real package once the first functional release (0.1.0) is published. This0.0.1release only reserves the name.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file wave_mcp-0.0.1.tar.gz.
File metadata
- Download URL: wave_mcp-0.0.1.tar.gz
- Upload date:
- Size: 1.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1a30ac38ccbe1b6b4ad49e2e6d56036af05dbaaa88d5ed4546523bd8db5abde4
|
|
| MD5 |
1889e478b1e82bb7458b30ea03532d3e
|
|
| BLAKE2b-256 |
da6fc9cf9360c508f53f980a60bde9a1c479631b69e8eff2148b8c0c0581a726
|
File details
Details for the file wave_mcp-0.0.1-py3-none-any.whl.
File metadata
- Download URL: wave_mcp-0.0.1-py3-none-any.whl
- Upload date:
- Size: 1.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
71c37ce1d2521f50a2b2def4a5588b98497ffd6043d44fc67c0d850fb0533533
|
|
| MD5 |
29e812d36e56c0ef451d1db1cd687f0e
|
|
| BLAKE2b-256 |
c30668115fcda0ee012c2945918a3c041ed79092bba18a5fefa822e441be435f
|