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Lets AI design RF filters and SMPS-EMC circuits from specs with compliance checks.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-ltspice-qucs" yet — see the docs or source repo.
Use mcp-ltspice-qucs to design an RF filter with these specs: center frequency 2.4 GHz, bandwidth 100 MHz, as low insertion loss as possible, and over 40 dB out-of-band rejection. Provide the synthesis result, simulation plan, and component suggestions.
A filter design approach that meets the specs, plus simulation setup and practical component suggestions.
Using the existing filter topology, use mcp-ltspice-qucs to optimize with real components. Keep the original frequency-response targets while reducing performance variation caused by component tolerances, and show a before/after comparison.
Optimized component or parameter recommendations, with a comparison of performance before and after optimization.
Use mcp-ltspice-qucs to evaluate an EMC approach for a switching power supply based on its basic specs, and perform CISPR-related compliance checks. Identify potentially failing frequency bands, improvement suggestions, and validation steps.
A compliance risk analysis with likely failing points and recommended optimization and validation steps.
Developers or researchers can use AI with LTspice, Qucs-S, and scikit-rf to generate initial filter designs from frequency specs. This helps move from requirements to simulation and optimization faster.
When a design cannot stay at the ideal-theory stage, this tool can optimize it using real components. It is useful for turning closed-form synthesis results into more practical implementations.
During SMPS-EMC design, teams can have AI perform CISPR-aware compliance checks first. This helps surface potential issues earlier and iterate on the circuit design.
It enables AI agents to design RF filters and SMPS-EMC solutions from specs through three MCP servers that drive LTspice, Qucs-S, and scikit-rf. The description also mentions closed-form synthesis, real-component optimization, and CISPR-aware compliance checking.
Based on the description, it depends on LTspice, Qucs-S, and scikit-rf, accessed through three MCP servers. More specific installation steps, system requirements, or key details are not provided; see the source repository.
From the given information, its distinction is that AI agents can drive a spec-based design flow combining synthesis, optimization, and compliance checks, rather than only manual simulation. For more differences, see the source repository.
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