Waveform MCP
W

Waveform MCP

An MCP server based on the wellen library for reading and analyzing waveform files in VCD/FST formats, providing functions such as signal viewing, value reading, and event searching.
2.5 points
4.7K

What is the Waveform Analysis Server?

The Waveform Analysis Server is a tool specifically designed to process digital circuit simulation waveforms. It can read waveform files in VCD (Value Change Dump) and FST (Fast Signal Trace) formats, allowing you to query signal values, analyze signal changes, and detect specific events, just like operating in a professional waveform viewer.

How to use the Waveform Analysis Server?

Using the Waveform Analysis Server is very simple: First, open a waveform file. Then you can list all signals, query the values of specific signals, obtain signal information, or find events that meet specific conditions. The server supports remote access via the command line or HTTP.

Application scenarios

Scenarios that require viewing and analyzing digital signal waveforms, such as digital circuit design verification, FPGA development and debugging, chip verification, teaching demonstrations, signal integrity analysis, and timing problem troubleshooting.

Main features

Waveform file support
Supports two mainstream waveform formats, VCD and FST, and is compatible with the outputs of most digital simulation tools.
Signal browsing and query
List all signals in a hierarchical structure, support filtering by name or path, and easily find the target signal.
Read signal values at time points
Query the values of signals at specific time points, and support batch queries for a single time point or multiple time points.
Signal event detection
Automatically detect all change events of signals within the specified time range, and quickly locate signal transitions.
Conditional event search
Use Verilog-like expressions to find events that meet complex conditions, such as rising edges and specific values.
Remote access support
Supports the HTTP server mode, allowing remote access to waveform data via the network, which facilitates team collaboration.
Advantages
There is no need to install complex waveform viewer software. You can access waveform data through the command line or API.
Supports conditional expression queries, which can find complex signal patterns.
It is open source and free, developed based on Rust, with high performance, efficiency, and stability.
Supports remote access, which facilitates team sharing and analysis of waveforms.
It is compatible with the MCP protocol and can be integrated into various AI assistants and development tools.
Limitations
Only supports VCD and FST formats, and does not support other waveform formats such as FSDB.
There is no graphical interface, which is suitable for command line and API call scenarios.
Large waveform files may require more memory.
The conditional expression syntax is relatively simple and does not support the complete Verilog syntax.

How to use

Installation and startup
Clone the code repository and compile the server, or directly run the pre-compiled binary file.
Open a waveform file
Use the open_waveform command to open your VCD or FST waveform file.
Browse signals
List all signals in the waveform and use filtering conditions to narrow down the scope.
Query signal values
Read the value of a specific signal at a certain time point.
Analyze signal events
Find signal change events or events that meet conditions.

Usage examples

Debugging clock signals
Check whether the frequency and duty cycle of the clock signal meet expectations.
Verifying the handshake protocol
Check whether the valid and ready signals cooperate correctly without violating the protocol.
Analyzing data flow
Track the transmission process of specific data in the pipeline.
Detecting glitches
Find short pulses (glitches) that appear on the signal.

Frequently Asked Questions

Which waveform file formats are supported?
How to find the rising edge of a signal?
Can multiple waveform files be opened simultaneously?
Which operators are supported in conditional expressions?
How to handle large waveform files?
How to remotely access the waveform server?

Related resources

GitHub Repository
Source code and latest version of the Waveform MCP Server
wellen Library Documentation
Technical documentation of the underlying waveform parsing library
MCP Protocol Specification
Official specification document of the Model Context Protocol
VCD Format Description
Detailed description of the VCD waveform format

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

R
Rsdoctor
Rsdoctor is a build analysis tool specifically designed for the Rspack ecosystem, fully compatible with webpack. It provides visual build analysis, multi - dimensional performance diagnosis, and intelligent optimization suggestions to help developers improve build efficiency and engineering quality.
TypeScript
8.7K
5 points
N
Next Devtools MCP
The Next.js development tools MCP server provides Next.js development tools and utilities for AI programming assistants such as Claude and Cursor, including runtime diagnostics, development automation, and document access functions.
TypeScript
8.2K
5 points
T
Testkube
Testkube is a test orchestration and execution framework for cloud-native applications, providing a unified platform to define, run, and analyze tests. It supports existing testing tools and Kubernetes infrastructure.
Go
5.1K
5 points
M
MCP Windbg
An MCP server that integrates AI models with WinDbg/CDB for analyzing Windows crash dump files and remote debugging, supporting natural language interaction to execute debugging commands.
Python
9.5K
5 points
R
Runno
Runno is a collection of JavaScript toolkits for securely running code in multiple programming languages in environments such as browsers and Node.js. It achieves sandboxed execution through WebAssembly and WASI, supports languages such as Python, Ruby, JavaScript, SQLite, C/C++, and provides integration methods such as web components and MCP servers.
TypeScript
7.4K
5 points
P
Praisonai
PraisonAI is a production-ready multi-AI agent framework with self-reflection capabilities, designed to create AI agents to automate the solution of various problems from simple tasks to complex challenges. It simplifies the construction and management of multi-agent LLM systems by integrating PraisonAI agents, AG2, and CrewAI into a low-code solution, emphasizing simplicity, customization, and effective human-machine collaboration.
Python
7.0K
5 points
N
Netdata
Netdata is an open-source real-time infrastructure monitoring platform that provides second-level metric collection, visualization, machine learning-driven anomaly detection, and automated alerts. It can achieve full-stack monitoring without complex configuration.
Go
8.6K
5 points
M
MCP Server
The Mapbox MCP Server is a model context protocol server implemented in Node.js, providing AI applications with access to Mapbox geospatial APIs, including functions such as geocoding, point - of - interest search, route planning, isochrone analysis, and static map generation.
TypeScript
6.7K
4 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
20.6K
4.3 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
31.0K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
62.8K
4.3 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
18.9K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
26.8K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
57.3K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
18.8K
4.5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
84.8K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase