--- title: "mcp vs gpustack" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/awslabs-mcp-vs-gpustack-gpustack" tools: ["awslabs-mcp", "gpustack-gpustack"] --- # mcp vs gpustack *GraphCanon updated Aug 26, 2026* ## Verdict Pick mcp if mCP provides open-source implementations of servers and clients for Model Context Protocol tailored for AWS, supporting Python; pick gpustack if gpustack is a Python-based tool for managing GPU clusters focused on efficient AI model inference and on-demand SSH-accessible GPU instances. [mcp](https://awslabs.github.io/mcp/) reports 9.6k GitHub stars, 1.7k forks, and 263 open issues, last pushed Aug 26, 2026. [gpustack](https://gpustack.ai) has 5.5k stars, 609 forks, and 673 open issues, last pushed Aug 7, 2026. Figures are from public GitHub metadata via [mcp's repository](https://github.com/awslabs/mcp) and [gpustack's repository](https://github.com/gpustack/gpustack). | | [mcp](/tools/awslabs-mcp.md) | [gpustack](/tools/gpustack-gpustack.md) | | --- | --- | --- | | Tagline | Open source MCP Servers for AWS | A GPU cluster manager for high-performance AI model serving and on-demand SSH-accessible GPU instances | | Stars | 9,637 | 5,454 | | Forks | 1,732 | 609 | | Open issues | 263 | 673 | | Language | Python | Python | | Adopt for | MCP provides open-source implementations of servers and clients for Model Context Protocol tailored for AWS, supporting Python. | gpustack is a Python-based tool for managing GPU clusters focused on efficient AI model inference and on-demand SSH-accessible GPU instances. | | Persona | - | - | | Runtime | - | - | | License | Distributed under the Apache-2.0 license, allowing free use, modification and distribution but with no warranty. | Apache-2.0 | | Categories | Inference & Serving | Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [mcp](/tools/awslabs-mcp.md) | [gpustack](/tools/gpustack-gpustack.md) | | --- | --- | --- | | Open issues (now) | 263 | 673 | | Stars delta | +134 (30d) | Unknown | | Open issues delta | -63 (30d) | Unknown | | Full report | [trust report](/tools/awslabs-mcp/trust.md) | [trust report](/tools/gpustack-gpustack/trust.md) | ## Decision facts: mcp - **Adopt for:** MCP provides open-source implementations of servers and clients for Model Context Protocol tailored for AWS, supporting Python. - **License detail:** Distributed under the Apache-2.0 license, allowing free use, modification and distribution but with no warranty. ## Decision facts: gpustack - **Pricing:** freemium - **Requirements:** Requires Docker - **Adopt for:** gpustack is a Python-based tool for managing GPU clusters focused on efficient AI model inference and on-demand SSH-accessible GPU instances. - **License detail:** Apache-2.0 ## Choose when ### Choose mcp if… - Tags unique to mcp: aws, mcp, modelcontextprotocol. - When you need an open-source solution specifically designed to work with the AWS environment for deploying and managing model context protocols. - More GitHub stars (9.6k vs 5.5k) - visibility, not fit. ### Choose gpustack if… - Requirements: Requires Docker. - Tags unique to gpustack: ascend, cuda, deepseek, distributed-inference. - When you need to manage multiple GPUs for high-performance inference tasks with models like vLLM or SGLang. ## When NOT to use mcp - Avoid MCP if your application does not run within an AWS ecosystem, as its integration with AWS-specific components may offer limited utility outside this environment. - Do not use mcp if your primary development language is not Python, given that the service implementations are exclusively in Python and may require substantial adaptation for other languages. ## When NOT to use gpustack - If your deployment constraints do not permit the use of Docker containers and there is a need for bare-metal deployments without containerized solutions. - When the tool-specific focus on certain models like vLLM or SGLang does not align with the model ecosystem preferred by your team. ## Common questions ### What is the difference between mcp and gpustack? mcp: Open source MCP Servers for AWS. gpustack: A GPU cluster manager for high-performance AI model serving and on-demand SSH-accessible GPU instances. See the comparison table for live GitHub stats and shared categories. ### When should I choose mcp over gpustack? Choose mcp over gpustack when Tags unique to mcp: aws, mcp, modelcontextprotocol; When you need an open-source solution specifically designed to work with the AWS environment for deploying and managing model context protocols; More GitHub stars (9.6k vs 5.5k) - visibility, not fit. ### When should I choose gpustack over mcp? Choose gpustack over mcp when Requirements: Requires Docker; Tags unique to gpustack: ascend, cuda, deepseek, distributed-inference; When you need to manage multiple GPUs for high-performance inference tasks with models like vLLM or SGLang. ### When should I avoid mcp? Avoid MCP if your application does not run within an AWS ecosystem, as its integration with AWS-specific components may offer limited utility outside this environment. Do not use mcp if your primary development language is not Python, given that the service implementations are exclusively in Python and may require substantial adaptation for other languages. ### When should I avoid gpustack? If your deployment constraints do not permit the use of Docker containers and there is a need for bare-metal deployments without containerized solutions. When the tool-specific focus on certain models like vLLM or SGLang does not align with the model ecosystem preferred by your team. ### Is mcp or gpustack more popular on GitHub? mcp has more GitHub stars (9,637 vs 5,454). Stars measure visibility, not whether either tool fits your constraints. ### Are mcp and gpustack open source? Yes - both are open-source projects on GitHub (mcp: Apache-2.0, gpustack: Apache-2.0). ### Where can I find alternatives to mcp or gpustack? GraphCanon lists graph-backed alternatives at [mcp alternatives](/tools/awslabs-mcp/alternatives) and [gpustack alternatives](/tools/gpustack-gpustack/alternatives) ([mcp markdown twin](/tools/awslabs-mcp/alternatives.md), [gpustack markdown twin](/tools/gpustack-gpustack/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/awslabs-mcp-vs-gpustack-gpustack.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, mcp or gpustack? mcp: Very active. gpustack: 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 mcp and gpustack? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [mcp trust report](/tools/awslabs-mcp/trust); [gpustack trust report](/tools/gpustack-gpustack/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=awslabs-mcp`](/api/graphcanon/graph?tool=awslabs-mcp) - 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/_