VCD Waveform Analyzer
This MCP server for Value Change Dump (VCD) waveforms enables AI assistants to query and analyze digital signal data. Built with Python and leveraging libraries like httpx and ipykernel, it provides tools for extracting specific signal changes from large VCD files. The server implements efficient data parsing and context management to handle waveform data that may exceed model context limits. By abstracting the complexities of VCD file processing, it allows AI systems to easily access and interpret time-based signal information. This implementation is particularly valuable for applications in digital design, hardware verification, and signal analysis, facilitating use cases such as debugging complex digital systems, analyzing timing relationships, and extracting insights from simulation results.
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 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · 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/seanmcloughlin/mcp-vcd
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve VCD Waveform Analyzer 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.