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oaslananka/kicad-mcp-pro

MCP server for KiCad, connecting AI agents to schematic and PCB workflows, ERC/DRC validation, DFM checks, BOM analysis, and manufacturing preparation—with controlled edits and human-gated release workflows.

Python ◇ ai-agent MIT
★131STARS
⑂24FORKS
!21ISSUES
🏆#19,624GLOBAL RANK
🔥28DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

kicad-mcp-pro is kicad-mcp-pro is an open-source project written in Python: MCP server for KiCad, connecting AI agents to schematic and PCB workflows, ERC/DRC validation, DFM checks, BOM analysis, and manufacturing preparation—with controlled edits and human-gated release workflows..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of October 2026), oaslananka/kicad-mcp-pro has accumulated 131 GitHub stars and 24 forks. It is written in Python, licensed under MIT, and ranks #19,624 globally. It is actively maintained with the latest commit recorded on Oct 16, 2026.”
Repository oaslananka/kicad-mcp-pro ↗
Primary Category ai agent
Language & Stack Python
Software License MIT
Community Traction ★ 131 stars · ⑂ 24 forks · #19,624 globally
Maintenance ● Active (Last commit: Oct 16, 2026) · 21 open issues
Target Audience Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 88/100 · Grade A
✅
Is kicad-mcp-pro actively maintained in 2026?
Verdict: Actively Maintained

Yes, kicad-mcp-pro is actively maintained. Continuous telemetry recorded the last code commit on Oct 16, 2026 (16 days ago). Supported by 131 stars and 24 community forks, this repository holds a calculated health index of 88/100, reflecting regular maintenance (16 days ago) and healthy issue cadence.

Commit Recency
Oct 16, 2026
16 days since last push
Issue Backlog
21 Open Issues
Healthy Issue Cadence
Community Backing
24 Forks
131 Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for oaslananka/kicad-mcp-pro
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#2,504

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+0+10+90
Per day111
Forks gained+0+3+10

kicad-mcp-pro gained 10 stars in the last 30 days, about 1 a day, and now has 131. It is about 1 year old and has averaged roughly 131 stars a year. It ranks #2,504 among Python repositories and #19,624 across all languages on GitHubRepo.

Trending Record

kicad-mcp-pro has maintained a continuous presence across global trending indexes, peaking at #2493. Below is the 30-day activity profile:

💡 Overview

kicad-mcp-pro is an open-source project written in Python: MCP server for KiCad, connecting AI agents to schematic and PCB workflows, ERC/DRC validation, DFM checks, BOM analysis, and manufacturing preparation—with controlled edits and human-gated release workflows.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-agent, bom, claude. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ pip install kicad-mcp-pro

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

kicad-mcp-pro coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with kicad-mcp-pro.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install kicad-mcp-pro using your package manager: `pip install kicad-mcp-pro`

2

Initialize your project workspace or configuration file for kicad-mcp-pro.

3

Import kicad-mcp-pro into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `kicad-mcp-pro --help` to verify successful setup.

👍 Strengths

Active community backing with 115 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

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👥 Who Should Use This

Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

oaslananka/kicad-mcp-pro is currently ranked #19,624 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#19,562 849879772/recruitops-agent Python ★ 132 Compare ↗
#19,562 cocel-postech/genz-lio C++ ★ 132 Compare ↗
#19,562 hackdiaz-dev/turn-proxy-android Kotlin ★ 132 Compare ↗
#19,562 NousResearch/hermes-labs-plugins Python ★ 132 Compare ↗
#19,562 tapoooooty/hypergrad Python ★ 132 Compare ↗
#19,624 oaslananka/kicad-mcp-pro This Project Python ★ 131
#19,624 mleung/feather Ruby ★ 131 Compare ↗
#19,624 davepeck/game-of-go Python ★ 131 Compare ↗
#19,624 brendano/tsvutils Python ★ 131 Compare ↗
#19,624 atog/spreadsheet_on_rails Ruby ★ 131 Compare ↗
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Frequently Asked Questions

What does kicad-mcp-pro do? +

MCP server for KiCad, connecting AI agents to schematic and PCB workflows, ERC/DRC validation, DFM checks, BOM analysis, and manufacturing preparation—with controlled edits and human-gated release workflows.

Is kicad-mcp-pro actively maintained in 2026? +

Yes, kicad-mcp-pro is actively maintained. The latest code push was recorded on Oct 16, 2026 (16 days ago). It holds a calculated Maintenance Health Score of 88/100 (A rating) with 131 stars and 21 open issues.

What language is kicad-mcp-pro written in? +

The primary language is Python. Topics include: ai-agent, bom, claude, dfm, drc.

How many stars does kicad-mcp-pro have? +

kicad-mcp-pro has 131 stars and 24 forks on GitHub.

How does kicad-mcp-pro rank among GitHub repositories? +

With 131 stars, oaslananka/kicad-mcp-pro is ranked #19,624 globally across all repositories tracked on GitHubRepo and #2,504 among Python projects.

What license is kicad-mcp-pro distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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