--- title: "supabase-mcp-server vs awesome-gpt" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/alexander-zuev-supabase-mcp-server-vs-formulahendry-awesome-gpt" tools: ["alexander-zuev-supabase-mcp-server", "formulahendry-awesome-gpt"] --- # supabase-mcp-server vs awesome-gpt *GraphCanon updated Jul 12, 2026* ## Verdict Pick supabase-mcp-server if the `supabase-mcp-server` is a Python-based solution for managing Supabase through an interactive chat interface with robust capabilities including automated migration versioning and log access; pick awesome-gpt if awesome-gpt is a curated list of GPT and related resources, serving as a reference for developers exploring or working with large language models and their applications. [supabase-mcp-server](https://github.com/alexander-zuev/supabase-mcp-server) reports 828 GitHub stars, 105 forks, and 3 open issues, last pushed May 8, 2026. [awesome-gpt](https://github.com/formulahendry/awesome-gpt) has 1.0k stars, 76 forks, and 27 open issues, last pushed May 29, 2024. Figures are from public GitHub metadata via [supabase-mcp-server's repository](https://github.com/alexander-zuev/supabase-mcp-server) and [awesome-gpt's repository](https://github.com/formulahendry/awesome-gpt). | | [supabase-mcp-server](/tools/alexander-zuev-supabase-mcp-server.md) | [awesome-gpt](/tools/formulahendry-awesome-gpt.md) | | --- | --- | --- | | Tagline | Query MCP for end-to-end Supabase management via chat interface | Curated list of GPT and related resources | | Stars | 828 | 1,044 | | Forks | 105 | 76 | | Open issues | 3 | 27 | | Language | Python | - | | Adopt for | The `supabase-mcp-server` is a Python-based solution for managing Supabase through an interactive chat interface with robust capabilities including automated migration versioning and log access. | awesome-gpt is a curated list of GPT and related resources, serving as a reference for developers exploring or working with large language models and their applications. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | - | | Categories | Data & Retrieval, Developer Tools | LLM Frameworks, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [supabase-mcp-server](/tools/alexander-zuev-supabase-mcp-server.md) | [awesome-gpt](/tools/formulahendry-awesome-gpt.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Dormant (18%) | | Days since push | 63d | 773d | | Open issues (now) | 3 | 27 | | Full report | [trust report](/tools/alexander-zuev-supabase-mcp-server/trust.md) | [trust report](/tools/formulahendry-awesome-gpt/trust.md) | ## Decision facts: supabase-mcp-server - **Adopt for:** The `supabase-mcp-server` is a Python-based solution for managing Supabase through an interactive chat interface with robust capabilities including automated migration versioning and log access. ## Decision facts: awesome-gpt - **Pricing:** unknown - Information about pricing is unavailable and likely does not apply as this is a curated list rather than a software service with licensing costs. - **Requirements:** Since awesome-gpt is an informational repository, it itself does not have RAM requirements or Docker needs. However, users might require internet access to view - **Adopt for:** awesome-gpt is a curated list of GPT and related resources, serving as a reference for developers exploring or working with large language models and their applications. ## Choose when ### Choose supabase-mcp-server if… - Tags unique to supabase-mcp-server: model-context-protocol, windsurf, supabase, cursor. - Also covers Data & Retrieval. - supabase-mcp-server ships Docker support for self-hosted deployment. - - When you need a streamlined, chat-driven interface to handle your Supabase instances, allowing both read & write query execution in a conversational manner. ### Choose awesome-gpt if… - Pricing: Information about pricing is unavailable and likely does not apply as this is a curated list rather than a software service with licensing costs.. - Requirements: Since awesome-gpt is an informational repository, it itself does not have RAM requirements or Docker needs. However, users might require internet access to view. - Tags unique to awesome-gpt: llm, chatgpt, gpt, openai. - Also covers LLM Frameworks. - Use awesome-gpt if you are looking for a comprehensive collection of links and resources specifically focused on GPT, ChatGPT, OpenAI products, and other large-scale AI tools. ## When NOT to use supabase-mcp-server - - Avoid this tool if you seek advanced customization options for the chat interface beyond what's provided by Supabase MCP; it might not integrate seamlessly with all custom workflows. - - If your project strictly requires proprietary data management systems incompatible with Supabase, or you're operating under restrictive licensing environments that contraindicate Apache-2.0. ## When NOT to use awesome-gpt - Avoid using awesome-gpt if you need detailed tutorials or in-depth technical documentation, as it primarily functions as an index of resources rather than an educational material provider. - Do not rely on awesome-gpt for real-time updates or specific usage statistics, tool availability, or pricing plans since the repository relies heavily on links external to its curation. ## Common questions ### What is the difference between supabase-mcp-server and awesome-gpt? supabase-mcp-server: Query MCP for end-to-end Supabase management via chat interface. awesome-gpt: Curated list of GPT and related resources. See the comparison table for live GitHub stats and shared categories. ### When should I choose supabase-mcp-server over awesome-gpt? Choose supabase-mcp-server over awesome-gpt when Tags unique to supabase-mcp-server: model-context-protocol, windsurf, supabase, cursor; Also covers Data & Retrieval; supabase-mcp-server ships Docker support for self-hosted deployment; - When you need a streamlined, chat-driven interface to handle your Supabase instances, allowing both read & write query execution in a conversational manner. ### When should I choose awesome-gpt over supabase-mcp-server? Choose awesome-gpt over supabase-mcp-server when Pricing: Information about pricing is unavailable and likely does not apply as this is a curated list rather than a software service with licensing costs.; Requirements: Since awesome-gpt is an informational repository, it itself does not have RAM requirements or Docker needs. However, users might require internet access to view; Tags unique to awesome-gpt: llm, chatgpt, gpt, openai; Also covers LLM Frameworks; Use awesome-gpt if you are looking for a comprehensive collection of links and resources specifically focused on GPT, ChatGPT, OpenAI products, and other large-scale AI tools. ### When should I avoid supabase-mcp-server? - Avoid this tool if you seek advanced customization options for the chat interface beyond what's provided by Supabase MCP; it might not integrate seamlessly with all custom workflows. - If your project strictly requires proprietary data management systems incompatible with Supabase, or you're operating under restrictive licensing environments that contraindicate Apache-2.0. ### When should I avoid awesome-gpt? Avoid using awesome-gpt if you need detailed tutorials or in-depth technical documentation, as it primarily functions as an index of resources rather than an educational material provider. Do not rely on awesome-gpt for real-time updates or specific usage statistics, tool availability, or pricing plans since the repository relies heavily on links external to its curation. ### Is supabase-mcp-server or awesome-gpt more popular on GitHub? awesome-gpt has more GitHub stars (1,044 vs 828). Stars measure visibility, not whether either tool fits your constraints. ### Are supabase-mcp-server and awesome-gpt open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to supabase-mcp-server or awesome-gpt? GraphCanon lists graph-backed alternatives at [supabase-mcp-server alternatives](/tools/alexander-zuev-supabase-mcp-server/alternatives) and [awesome-gpt alternatives](/tools/formulahendry-awesome-gpt/alternatives) ([supabase-mcp-server markdown twin](/tools/alexander-zuev-supabase-mcp-server/alternatives.md), [awesome-gpt markdown twin](/tools/formulahendry-awesome-gpt/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/alexander-zuev-supabase-mcp-server-vs-formulahendry-awesome-gpt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, supabase-mcp-server or awesome-gpt? supabase-mcp-server: Steady. awesome-gpt: Dormant. 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 supabase-mcp-server and awesome-gpt? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [supabase-mcp-server trust report](/tools/alexander-zuev-supabase-mcp-server/trust); [awesome-gpt trust report](/tools/formulahendry-awesome-gpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=alexander-zuev-supabase-mcp-server`](/api/graphcanon/graph?tool=alexander-zuev-supabase-mcp-server) - 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/_