NVIDIA Auto Ontology's semantic layer and a personal knowledge base as an MCP server for Claude, ChatGPT and other MCP clients. No LLM API key needed.
⚡ Executive Summary & Quick Facts
Authoritative Sourceauto-ontology-mcp is auto-ontology-mcp is an open-source project written in Python: NVIDIA Auto Ontology's semantic layer and a personal knowledge base as an MCP server for Claude, ChatGPT and other MCP clients. No LLM API key needed..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), gogoymh/auto-ontology-mcp has accumulated 274 GitHub stars and 40 forks. It is written in Python, licensed under Apache-2.0, and ranks #16,638 globally. It is actively maintained with the latest commit recorded on Nov 10, 2026.”
| Repository | gogoymh/auto-ontology-mcp ↗ |
|---|---|
| Primary Category | chatgpt |
| Language & Stack | Python |
| Software License | Apache-2.0 |
| Community Traction | ★ 274 stars · ⑂ 40 forks · #16,638 globally |
| Maintenance | ● Active (Last commit: Nov 10, 2026) · 3 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: 93/100 · Grade A+Yes, auto-ontology-mcp is actively maintained. Continuous telemetry recorded the last code commit on Nov 10, 2026 (3 days ago). Supported by 274 stars and 40 community forks, this repository holds a calculated health index of 93/100, reflecting very active (commits within last 14 days) and healthy issue cadence.
Star History
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+10
STARS · LAST 30 DAYS
1
PER DAY
#2,206
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
auto-ontology-mcp gained 10 stars in the last 30 days, about 1 a day, and now has 274. It is about 1 year old and has averaged roughly 274 stars a year. It ranks #2,206 among Python repositories and #16,638 across all languages on GitHubRepo.
Trending Record
3
DAYS ON TRENDING
#17305
BEST RANK
Nov 10, 2026
FIRST APPEARANCE
Active
STATUS TODAY
auto-ontology-mcp has maintained a continuous presence across global trending indexes, peaking at #17305. Below is the 30-day activity profile:
💡 Overview
auto-ontology-mcp is an open-source project written in Python: NVIDIA Auto Ontology's semantic layer and a personal knowledge base as an MCP server for Claude, ChatGPT and other MCP clients. No LLM API key needed.
Engineered for speed, consistency, and developer ease, it solves common hurdles in chatgpt, claude, mcp. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install auto-ontology-mcp⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
auto-ontology-mcp 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 auto-ontology-mcp.
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
Install auto-ontology-mcp using your package manager: `pip install auto-ontology-mcp`
Initialize your project workspace or configuration file for auto-ontology-mcp.
Import auto-ontology-mcp into your codebase or invoke it directly from your terminal.
Execute your test suite or run `auto-ontology-mcp --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 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
gogoymh/auto-ontology-mcp is currently ranked #16,638 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #16,614 | tetherto/wdk | JavaScript | ★ 275 | Compare ↗ |
| #16,614 | Priyanshu-byte-coder/devtrack | TypeScript | ★ 275 | Compare ↗ |
| #16,614 | william-ricchiuti/OpenCode-goal-plugin | JavaScript | ★ 275 | Compare ↗ |
| #16,614 | rhythmcache/Dioxamine | Kotlin | ★ 275 | Compare ↗ |
| #16,614 | CosmosMind-ai/RSI-Harness | TypeScript | ★ 275 | Compare ↗ |
| #16,638 | gogoymh/auto-ontology-mcp This Project | Python | ★ 274 | |
| #16,638 | FabianBeiner/PHP-IMDB-Grabber | PHP | ★ 274 | Compare ↗ |
| #16,638 | cowboy/jquery-dotimeout | JavaScript | ★ 274 | Compare ↗ |
| #16,638 | ruby/rubygems-mirror | Ruby | ★ 274 | Compare ↗ |
| #16,638 | SonarSource/sonarlint-eclipse | Java | ★ 274 | Compare ↗ |
| #16,638 | ruby-grape/grape-on-rack | Ruby | ★ 274 | Compare ↗ |
Frequently Asked Questions
What does auto-ontology-mcp do? +
NVIDIA Auto Ontology's semantic layer and a personal knowledge base as an MCP server for Claude, ChatGPT and other MCP clients. No LLM API key needed.
Is auto-ontology-mcp actively maintained in 2026? +
Yes, auto-ontology-mcp is actively maintained. The latest code push was recorded on Nov 10, 2026 (3 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 274 stars and 3 open issues.
What language is auto-ontology-mcp written in? +
The primary language is Python. Topics include: chatgpt, claude, mcp, mcp-server, model-context-protocol.
How many stars does auto-ontology-mcp have? +
auto-ontology-mcp has 274 stars and 40 forks on GitHub.
How does auto-ontology-mcp rank among GitHub repositories? +
With 274 stars, gogoymh/auto-ontology-mcp is ranked #16,638 globally across all repositories tracked on GitHubRepo and #2,206 among Python projects.
What license is auto-ontology-mcp distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
