Waveform Analysis
A specialized MCP server by Yossi Nivin that enables AI assistants to analyze RTL waveform files from hardware simulations using WAL (Waveform Analysis Language) as the underlying engine. The implementation provides six core tools for signal discovery with regex filtering, transition analysis within time ranges, waveform length inspection, and direct WAL expression execution for advanced queries, along with comprehensive help and example generation. Supporting both VCD and FST formats through WAL's parsing capabilities, it's designed for hardware engineers and verification teams who need to programmatically analyze simulation results, debug timing issues, or extract specific signal behaviors from complex digital designs without manually navigating waveform viewers.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-01.
Scan details: Circle-IR · 2026-09-01 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- iot-hardware
- Source
- PulseMCP
- Repository
- github.com/ynivin/waveform-mcp
- Author type
- human
- Last scanned
- 2026-09-01
- Updated
- 2026-09-01
Use via MCP
Resolve Waveform Analysis from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.