--- title: "Nemotron vs awesome-mcp-servers" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/nvidia-nemo-nemotron-vs-punkpeye-awesome-mcp-servers" tools: ["nvidia-nemo-nemotron", "punkpeye-awesome-mcp-servers"] --- # Nemotron vs awesome-mcp-servers *GraphCanon updated Jul 11, 2026* ## Verdict Pick Nemotron when license: Nemotron is Apache-2.0, awesome-mcp-servers is MIT; pick awesome-mcp-servers when license: awesome-mcp-servers is MIT, Nemotron is Apache-2.0. [Nemotron](https://docs.nvidia.com/nemotron/latest/index.html) reports 1.7k GitHub stars, 337 forks, and 62 open issues, last pushed Jul 10, 2026. [awesome-mcp-servers](https://glama.ai/mcp/servers) has 91k stars, 13k forks, and 2.6k open issues, last pushed Jul 4, 2026. Figures are from public GitHub metadata via [Nemotron's repository](https://github.com/NVIDIA-NeMo/Nemotron) and [awesome-mcp-servers's repository](https://github.com/punkpeye/awesome-mcp-servers). | | [Nemotron](/tools/nvidia-nemo-nemotron.md) | [awesome-mcp-servers](/tools/punkpeye-awesome-mcp-servers.md) | | --- | --- | --- | | Tagline | Developer Asset Hub for NVIDIA Nemotron — A one-stop resource for training recipes, usage cookbooks, datasets, and full end-to-end reference examples to build with Nemotron models | A collection of MCP servers. | | Stars | 1,665 | 90,602 | | Forks | 337 | 12,821 | | Open issues | 62 | 2,557 | | Language | Jupyter Notebook | - | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | Model Training, Developer Tools | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Nemotron](/tools/nvidia-nemo-nemotron.md) | [awesome-mcp-servers](/tools/punkpeye-awesome-mcp-servers.md) | | --- | --- | --- | | Days since push | 0d | 6d | | Open issues (now) | 62 | 2.6k | | Owner type | Organization | User | | Security scan | No lockfile | No MCP manifest | | Full report | [trust report](/tools/nvidia-nemo-nemotron/trust.md) | [trust report](/tools/punkpeye-awesome-mcp-servers/trust.md) | ## Choose when ### Choose Nemotron if… - License: Nemotron is Apache-2.0, awesome-mcp-servers is MIT. - Tags unique to Nemotron: reinforcement-learning, model-training, fine-tuning, nemotron. - Also covers Model Training. ### Choose awesome-mcp-servers if… - License: awesome-mcp-servers is MIT, Nemotron is Apache-2.0. - Tags unique to awesome-mcp-servers: mcp. - More GitHub stars (91k vs 1.7k) - visibility, not fit. ## When NOT to use Nemotron - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## When NOT to use awesome-mcp-servers - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## Common questions ### What is the difference between Nemotron and awesome-mcp-servers? Nemotron: Developer Asset Hub for NVIDIA Nemotron — A one-stop resource for training recipes, usage cookbooks, datasets, and full end-to-end reference examples to build with Nemotron models. awesome-mcp-servers: A collection of MCP servers.. See the comparison table for live GitHub stats and shared categories. ### When should I choose Nemotron over awesome-mcp-servers? Choose Nemotron over awesome-mcp-servers when License: Nemotron is Apache-2.0, awesome-mcp-servers is MIT; Tags unique to Nemotron: reinforcement-learning, model-training, fine-tuning, nemotron; Also covers Model Training. ### When should I choose awesome-mcp-servers over Nemotron? Choose awesome-mcp-servers over Nemotron when License: awesome-mcp-servers is MIT, Nemotron is Apache-2.0; Tags unique to awesome-mcp-servers: mcp; More GitHub stars (91k vs 1.7k) - visibility, not fit. ### When should I avoid Nemotron? Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### When should I avoid awesome-mcp-servers? Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### Is Nemotron or awesome-mcp-servers more popular on GitHub? awesome-mcp-servers has more GitHub stars (90,602 vs 1,665). Stars measure visibility, not whether either tool fits your constraints. ### Are Nemotron and awesome-mcp-servers open source? Yes - both are open-source projects on GitHub (Nemotron: Apache-2.0, awesome-mcp-servers: MIT). ### Where can I find alternatives to Nemotron or awesome-mcp-servers? GraphCanon lists graph-backed alternatives at [Nemotron alternatives](/tools/nvidia-nemo-nemotron/alternatives) and [awesome-mcp-servers alternatives](/tools/punkpeye-awesome-mcp-servers/alternatives) ([Nemotron markdown twin](/tools/nvidia-nemo-nemotron/alternatives.md), [awesome-mcp-servers markdown twin](/tools/punkpeye-awesome-mcp-servers/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/nvidia-nemo-nemotron-vs-punkpeye-awesome-mcp-servers.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Nemotron or awesome-mcp-servers? Nemotron: Very active. awesome-mcp-servers: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for Nemotron and awesome-mcp-servers? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Nemotron trust report](/tools/nvidia-nemo-nemotron/trust); [awesome-mcp-servers trust report](/tools/punkpeye-awesome-mcp-servers/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=nvidia-nemo-nemotron`](/api/graphcanon/graph?tool=nvidia-nemo-nemotron) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_