AgentIndex icon
AgentIndex
ltspice-mcp logo
ltspice-mcp
★ 65
vs
Integuru logo
Integuru
★ 4.8k

ltspice-mcp vs Integuru

ltspice-mcp: This project provides an MCP server that bridges LLM assistants with powerful circuit simulators like LTspice and ngspice, along with direct editing capabilities for LTspice schematics. It allows AI assistants to design, verify, and iterate on circuits by interpreting simulation results as structured data and interacting with circuit files directly, avoiding manual rawfile parsing.; Integuru: Integuru is an AI agent designed to reverse-engineer internal platform APIs and generate runnable Python integration code. It automatically identifies request dependencies and builds a graph to perform desired actions, such as downloading utility bills.

01

TL;DR

ltspice-mcp logo
ltspice-mcpAPI Integration · ★ 65

Automated circuit biasing and characterization: Automatically bias an NMOS stage into saturation, or characterize device parameters like gm/ID versus VGS.

Read ltspice-mcp full review →
Integuru logo
InteguruAPI Integration · ★ 4.8k

Automating interactions with undocumented internal APIs of various platforms.

Read Integuru full review →
02

Side-by-Side Comparison

Field
ltspice-mcp logoltspice-mcp
Integuru logoInteguru
Category
API Integration
API Integration
Stars
★ 65
★ 4.8k
License
GPL-3.0
AGPL-3.0
Install Command
uv tool install ltspice-mcp
poetry install
Updated
1d ago
4mo ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
LLM Integration, Circuit Simulation, LTspice
AI Agent, API Reverse-engineering, Code Generation
03

Features

ltspice-mcp logoltspice-mcp
01Simulation and structured measurement results: Runs LTspice/ngspice, parses binary output directly, and returns precise measurements (e.g., cutoff frequencies, operating points, stability margins) as structured numbers.
02Schematic and netlist editing: Supports creation and modification of LTspice `.asc` schematics and SPICE `.cir`/`.net` netlists with built-in validation.
03Advanced analysis capabilities: Enables multi-dimensional parameter sweeps and Monte Carlo simulations with component tolerances and process variations.
04Robust job management: Simulations run as cancellable jobs with timeouts and concurrency limits, and results report facts with simulator warnings for agent interpretation.
05Co-design workflow: Facilitates iterative design by allowing assistants and human users to collaboratively edit and verify circuits using standard LTspice and SPICE files.
Integuru logoInteguru
01Generates a dependency graph of requests for desired actions.
02Supports input variables for graph generation (code generation support coming soon).
03Generates executable Python code to hit all requests in the graph.
04Handles two-factor authentication (2FA) by utilizing post-2FA cookies/tokens.
05Built by Integuru.ai, offering custom integrations and hosting services.
04

Use Cases

ltspice-mcp logoltspice-mcp
↳Automated circuit biasing and characterization: Automatically bias an NMOS stage into saturation, or characterize device parameters like gm/ID versus VGS.
↳Performance analysis: Measure transient responses (overshoot, settling time), frequency responses (cutoff, Q factor), or harmonic distortion (THD).
↳Design verification and stability analysis: Evaluate loop stability, phase/gain margins, or run Monte Carlo analyses for worst-case scenarios.
↳Interactive schematic design: Construct and modify LTspice schematics through natural language commands, with real-time validation.
↳Model and library management: Find specific models in loaded libraries or load/unload SPICE libraries for use in designs.
Integuru logoInteguru
↳Automating interactions with undocumented internal APIs of various platforms.
↳Generating custom integration code for platforms without official SDKs.
↳Reverse-engineering complex multi-step API workflows for data extraction or task automation.
FAQ

FAQ

What is the difference between ltspice-mcp and Integuru?
Both ltspice-mcp and Integuru are in the API Integration category. ltspice-mcp has 65 stars, while Integuru has 4.8k stars.
Which is better, ltspice-mcp or Integuru?
The best choice depends on your use case. Choose ltspice-mcp if Automated circuit biasing and characterization: Automatically bias an NMOS stage into saturation, or characterize device parameters like gm/ID versus VGS., and Integuru if Automating interactions with undocumented internal APIs of various platforms..
Is ltspice-mcp free or open source?
Yes, ltspice-mcp is open source on GitHub (GPL-3.0).
Is Integuru free or open source?
Yes, Integuru is open source on GitHub (AGPL-3.0).
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