Comparison
dbt-mcp vs awesome-mcp-servers
Verdict
Pick dbt-mcp if dbt-mcp offers a specialized MCP server for dbt interaction, supporting data analytics and engineering tasks in Python under the Apache-2.0 license; pick awesome-mcp-servers if awesome-mcp-servers is a collection focused specifically on MCP servers with an emphasis on AI integration.
Markdown twin · dbt-mcp alternatives · awesome-mcp-servers alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | dbt-mcp | awesome-mcp-servers |
|---|---|---|
| Maintenance | Very active (2d since push) As of 3w · github_public_v1 | Very active (6d since push) As of 1mo · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Personal account As of 1mo · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- dbt-mcp
- A MCP server for interacting with dbt
- awesome-mcp-servers
- A collection of MCP servers
Stars
- dbt-mcp
- 595
- awesome-mcp-servers
- 91k
Forks
- dbt-mcp
- 128
- awesome-mcp-servers
- 13k
Open issues
- dbt-mcp
- 35
- awesome-mcp-servers
- 2.6k
Language
- dbt-mcp
- Python
- awesome-mcp-servers
- -
Adopt for
- dbt-mcp
- dbt-mcp offers a specialized MCP server for dbt interaction, supporting data analytics and engineering tasks in Python under the Apache-2.0 license.
- awesome-mcp-servers
- awesome-mcp-servers is a collection focused specifically on MCP servers with an emphasis on AI integration.
Persona
- dbt-mcp
- -
- awesome-mcp-servers
- -
Runtime
- dbt-mcp
- -
- awesome-mcp-servers
- -
License
- dbt-mcp
- dbt-mcp operates under the permissive Apache-2.0 license which allows free use for both commercial and non-commercial purposes.
- awesome-mcp-servers
- MIT
Last pushed
- dbt-mcp
- Jul 24, 2026
- awesome-mcp-servers
- Jul 4, 2026
Categories
- dbt-mcp
- Data & Retrieval
- awesome-mcp-servers
- Developer Tools
Trust and health
Days since push
- dbt-mcp
- 2d
- awesome-mcp-servers
- 6d
Open issues (now)
- dbt-mcp
- 35
- awesome-mcp-servers
- 2.6k
Owner type
- dbt-mcp
- Organization
- awesome-mcp-servers
- User
Full report
- dbt-mcp
- Trust report
- awesome-mcp-servers
- Trust report
Choose dbt-mcp if…
- License: dbt-mcp is Apache-2.0, awesome-mcp-servers is MIT.
- Pricing: Freely available with no direct cost, ideal for projects without budget constraints but seeking flexibility..
- Requirements: Ensure you have Python and dbt installed to utilize dbt-mcp effectively.; Advanced knowledge of data engineering and analytics best practices is required to make the most out of dbt-mcp's MCP capabilities..
- Tags unique to dbt-mcp: data-analytics, data-engineering, dbt, llm.
- Also covers Data & Retrieval.
- dbt-mcp ships Docker support for self-hosted deployment.
- You are working with dbt and need to implement the Model Context Protocol (MCP) for more precise project management.
When NOT to use dbt-mcp
- If your project does not require interaction through the Model Context Protocol with dbt, opting for a generic data processing tool might be simpler and less resource-intensive.
- When the primary goal is model training or prediction without focusing on dbt workflow management via MCP, alternative tools may serve better.
Choose awesome-mcp-servers if…
- License: awesome-mcp-servers is MIT, dbt-mcp is Apache-2.0.
- Tags unique to awesome-mcp-servers: ai, server-resources.
- Also covers Developer Tools.
- If your project requires detailed resources and tools around MCP server capabilities for AI projects, awesome-mcp-servers is well-suited as it focuses solely on this niche area of technology.
When NOT to use awesome-mcp-servers
- Avoid using awesome-mcp-servers if your project does not involve utilizing or exploring the specific functionalities of MCP servers in relation to AI applications.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (dbt-labs/dbt-mcp) · observed Jul 27, 2026
- GitHub forks (dbt-labs/dbt-mcp) · observed Jul 27, 2026
- Last push (dbt-labs/dbt-mcp) · observed Jul 24, 2026
- License file (Apache-2.0) · observed Jul 27, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (punkpeye/awesome-mcp-servers) · observed Jul 26, 2026
- GitHub forks (punkpeye/awesome-mcp-servers) · observed Jul 26, 2026
- Last push (punkpeye/awesome-mcp-servers) · observed Jul 4, 2026
- License file (MIT) · observed Jul 26, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: dbt-mcp 595 · awesome-mcp-servers 91k (synced Jul 27, 2026).
Common questions
- What is the difference between dbt-mcp and awesome-mcp-servers?
- dbt-mcp: A MCP server for interacting with dbt. awesome-mcp-servers: A collection of MCP servers. See the comparison table for live GitHub stats and shared categories.
- When should I choose dbt-mcp over awesome-mcp-servers?
- Choose dbt-mcp over awesome-mcp-servers when License: dbt-mcp is Apache-2.0, awesome-mcp-servers is MIT; Pricing: Freely available with no direct cost, ideal for projects without budget constraints but seeking flexibility.; Requirements: Ensure you have Python and dbt installed to utilize dbt-mcp effectively.; Advanced knowledge of data engineering and analytics best practices is required to make the most out of dbt-mcp's MCP capabilities.; Tags unique to dbt-mcp: data-analytics, data-engineering, dbt, llm; Also covers Data & Retrieval; dbt-mcp ships Docker support for self-hosted deployment; You are working with dbt and need to implement the Model Context Protocol (MCP) for more precise project management.
- When should I choose awesome-mcp-servers over dbt-mcp?
- Choose awesome-mcp-servers over dbt-mcp when License: awesome-mcp-servers is MIT, dbt-mcp is Apache-2.0; Tags unique to awesome-mcp-servers: ai, server-resources; Also covers Developer Tools; If your project requires detailed resources and tools around MCP server capabilities for AI projects, awesome-mcp-servers is well-suited as it focuses solely on this niche area of technology.
- When should I avoid dbt-mcp?
- If your project does not require interaction through the Model Context Protocol with dbt, opting for a generic data processing tool might be simpler and less resource-intensive. When the primary goal is model training or prediction without focusing on dbt workflow management via MCP, alternative tools may serve better.
- When should I avoid awesome-mcp-servers?
- Avoid using awesome-mcp-servers if your project does not involve utilizing or exploring the specific functionalities of MCP servers in relation to AI applications.
- Is dbt-mcp or awesome-mcp-servers more popular on GitHub?
- awesome-mcp-servers has more GitHub stars (90,602 vs 595). Stars measure visibility, not whether either tool fits your constraints.
- Are dbt-mcp and awesome-mcp-servers open source?
- Yes - both are open-source projects on GitHub (dbt-mcp: Apache-2.0, awesome-mcp-servers: MIT).
- Where can I find alternatives to dbt-mcp or awesome-mcp-servers?
- GraphCanon lists graph-backed alternatives at dbt-mcp alternatives and awesome-mcp-servers alternatives (dbt-mcp markdown twin, awesome-mcp-servers markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, dbt-mcp or awesome-mcp-servers?
- dbt-mcp: 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 dbt-mcp and awesome-mcp-servers?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: dbt-mcp trust report; awesome-mcp-servers trust report.