--- title: "dbt-mcp vs prompts.chat" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dbt-labs-dbt-mcp-vs-f-prompts-chat" tools: ["dbt-labs-dbt-mcp", "f-prompts-chat"] --- # dbt-mcp vs prompts.chat *GraphCanon updated Jul 11, 2026* ## Verdict Pick dbt-mcp when dbt-mcp is primarily Python; prompts.chat is HTML; pick prompts.chat when prompts.chat is primarily HTML; dbt-mcp is Python. [dbt-mcp](https://github.com/dbt-labs/dbt-mcp) reports 589 GitHub stars, 125 forks, and 34 open issues, last pushed Jul 10, 2026. [prompts.chat](https://prompts.chat) has 165k stars, 21k forks, and 60 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [dbt-mcp's repository](https://github.com/dbt-labs/dbt-mcp) and [prompts.chat's repository](https://github.com/f/prompts.chat). | | [dbt-mcp](/tools/dbt-labs-dbt-mcp.md) | [prompts.chat](/tools/f-prompts-chat.md) | | --- | --- | --- | | Tagline | A MCP (Model Context Protocol) server for interacting with dbt. | Share, discover, and collect prompts from the community | | Stars | 589 | 165,372 | | Forks | 125 | 21,400 | | Open issues | 34 | 60 | | Language | Python | HTML | | Adopt for | - | Critical decision points for evaluating `prompts.chat` | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Other | | Categories | Developer Tools, LLM Frameworks | Developer Tools, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dbt-mcp](/tools/dbt-labs-dbt-mcp.md) | [prompts.chat](/tools/f-prompts-chat.md) | | --- | --- | --- | | Open issues (now) | 34 | 60 | | Owner type | Organization | User | | Security scan | No MCP manifest | No lockfile | | Full report | [trust report](/tools/dbt-labs-dbt-mcp/trust.md) | [trust report](/tools/f-prompts-chat/trust.md) | ## Decision facts: prompts.chat - **Adopt for:** Critical decision points for evaluating `prompts.chat` ## Choose when ### Choose dbt-mcp if… - dbt-mcp is primarily Python; prompts.chat is HTML. - License: dbt-mcp is Apache-2.0, prompts.chat is Other. - Tags unique to dbt-mcp: data-analytics, data-engineering, dbt, mcp. ### Choose prompts.chat if… - prompts.chat is primarily HTML; dbt-mcp is Python. - License: prompts.chat is Other, dbt-mcp is Apache-2.0. - Tags unique to prompts.chat: ai, artificial-intelligence, awesome-list, chatgpt. - Critical decision points for evaluating `prompts.chat` ## When NOT to use dbt-mcp - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## When NOT to use prompts.chat - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## Common questions ### What is the difference between dbt-mcp and prompts.chat? dbt-mcp: A MCP (Model Context Protocol) server for interacting with dbt.. prompts.chat: Share, discover, and collect prompts from the community. See the comparison table for live GitHub stats and shared categories. ### When should I choose dbt-mcp over prompts.chat? Choose dbt-mcp over prompts.chat when dbt-mcp is primarily Python; prompts.chat is HTML; License: dbt-mcp is Apache-2.0, prompts.chat is Other; Tags unique to dbt-mcp: data-analytics, data-engineering, dbt, mcp. ### When should I choose prompts.chat over dbt-mcp? Choose prompts.chat over dbt-mcp when prompts.chat is primarily HTML; dbt-mcp is Python; License: prompts.chat is Other, dbt-mcp is Apache-2.0; Tags unique to prompts.chat: ai, artificial-intelligence, awesome-list, chatgpt; Critical decision points for evaluating `prompts.chat`. ### When should I avoid dbt-mcp? Developer Tools: A gateway is overkill when you're pinned to a single provider and model. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### When should I avoid prompts.chat? Developer Tools: A gateway is overkill when you're pinned to a single provider and model. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### Is dbt-mcp or prompts.chat more popular on GitHub? prompts.chat has more GitHub stars (165,372 vs 589). Stars measure visibility, not whether either tool fits your constraints. ### Are dbt-mcp and prompts.chat open source? Yes - both are open-source projects on GitHub (dbt-mcp: Apache-2.0, prompts.chat: Other). ### Where can I find alternatives to dbt-mcp or prompts.chat? GraphCanon lists graph-backed alternatives at [dbt-mcp alternatives](/tools/dbt-labs-dbt-mcp/alternatives) and [prompts.chat alternatives](/tools/f-prompts-chat/alternatives) ([dbt-mcp markdown twin](/tools/dbt-labs-dbt-mcp/alternatives.md), [prompts.chat markdown twin](/tools/f-prompts-chat/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/dbt-labs-dbt-mcp-vs-f-prompts-chat.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, dbt-mcp or prompts.chat? dbt-mcp: Very active. prompts.chat: 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 dbt-mcp and prompts.chat? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dbt-mcp trust report](/tools/dbt-labs-dbt-mcp/trust); [prompts.chat trust report](/tools/f-prompts-chat/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=dbt-labs-dbt-mcp`](/api/graphcanon/graph?tool=dbt-labs-dbt-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/_