AgentIndex icon
AgentIndex
ltspice-mcp logo
ltspice-mcp
★ 65
vs
livetennisapi-mcp logo
livetennisapi-mcp
★ 152

ltspice-mcp vs livetennisapi-mcp

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.; livetennisapi-mcp: This is an MCP (Multi-Agent Protocol) server for the Live Tennis API, designed to provide real-time and historical tennis data to AI agents like Claude, Cursor, and Zed. It allows large language models to query live scores, player statistics, match results, and even odds or win probabilities, depending on the API plan.

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 →
livetennisapi-mcp logo
livetennisapi-mcpAPI Integration · ★ 152

Querying current live tennis match scores and statuses.

Read livetennisapi-mcp full review →
02

Side-by-Side Comparison

Field
ltspice-mcp logoltspice-mcp
livetennisapi-mcp logolivetennisapi-mcp
Category
API Integration
API Integration
Stars
★ 65
★ 152
License
GPL-3.0
MIT
Install Command
uv tool install ltspice-mcp
npx -y livetennisapi-mcp
Updated
1d ago
2w ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
LLM Integration, Circuit Simulation, LTspice
MCP Server, Live Tennis API, Sports Data
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.
livetennisapi-mcp logolivetennisapi-mcp
01Provides comprehensive live and historical tennis data for ATP, WTA, Challenger, and ITF matches.
02Integrates seamlessly with LLM agents (Claude, Cursor, Zed) via the MCP protocol.
03Offers a wide range of data points including live scores, player profiles, match results, tournament information, odds, and model win probabilities.
04Supports both local stdio server deployment and a hosted HTTP endpoint for flexible integration.
05Features tier-aware API responses that explain plan requirements to the agent, providing actionable upgrade guidance.
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.
livetennisapi-mcp logolivetennisapi-mcp
↳Querying current live tennis match scores and statuses.
↳Retrieving detailed player rankings, profiles, and recent match results.
↳Analyzing historical head-to-head statistics between tennis players.
↳Integrating real-time tennis statistics and odds into AI agent conversations or applications.
↳Developing AI-powered tools that require access to comprehensive tennis data.
05

Best For

ltspice-mcp logoltspice-mcp
—
livetennisapi-mcp logolivetennisapi-mcp
Hidden Gem
FAQ

FAQ

What is the difference between ltspice-mcp and livetennisapi-mcp?
Both ltspice-mcp and livetennisapi-mcp are in the API Integration category. ltspice-mcp has 65 stars, while livetennisapi-mcp has 152 stars.
Which is better, ltspice-mcp or livetennisapi-mcp?
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 livetennisapi-mcp if Querying current live tennis match scores and statuses..
Is ltspice-mcp free or open source?
Yes, ltspice-mcp is open source on GitHub (GPL-3.0).
Is livetennisapi-mcp free or open source?
Yes, livetennisapi-mcp is open source on GitHub (MIT).
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