Comparison
arcade-mcp vs dbt-mcp
Verdict
Pick arcade-mcp if arcade-MCP is an MCP Server Framework and Tool Development Library specifically built for incorporating custom capabilities into AI agents using the Model Context Protocol; 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.
Markdown twin · arcade-mcp alternatives · dbt-mcp alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | arcade-mcp | dbt-mcp |
|---|---|---|
| Maintenance | Very active (0d since push) As of 4w · github_public_v1 | Very active (2d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4w · github_public_v1 | Not a fork · Organization account As of 3w · 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
- arcade-mcp
- MCP Server Framework and Tool Development Library for Custom Agent Capabilities
- dbt-mcp
- A MCP server for interacting with dbt
Stars
- arcade-mcp
- 981
- dbt-mcp
- 595
Forks
- arcade-mcp
- 101
- dbt-mcp
- 128
Open issues
- arcade-mcp
- 16
- dbt-mcp
- 35
Language
- arcade-mcp
- Python
- dbt-mcp
- Python
Adopt for
- arcade-mcp
- Arcade-MCP is an MCP Server Framework and Tool Development Library specifically built for incorporating custom capabilities into AI agents using the Model Context Protocol.
- 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.
Persona
- arcade-mcp
- -
- dbt-mcp
- -
Runtime
- arcade-mcp
- -
- dbt-mcp
- -
License
- arcade-mcp
- MIT
- dbt-mcp
- dbt-mcp operates under the permissive Apache-2.0 license which allows free use for both commercial and non-commercial purposes.
Last pushed
- arcade-mcp
- Jul 26, 2026
- dbt-mcp
- Jul 24, 2026
Categories
- arcade-mcp
- AI Agents
- dbt-mcp
- Data & Retrieval
Trust and health
Days since push
- arcade-mcp
- 0d
- dbt-mcp
- 2d
Open issues (now)
- arcade-mcp
- 16
- dbt-mcp
- 35
Full report
- arcade-mcp
- Trust report
- dbt-mcp
- Trust report
Choose arcade-mcp if…
- License: arcade-mcp is MIT, dbt-mcp is Apache-2.0.
- Requirements: Min 4 GB RAM.
- Tags unique to arcade-mcp: ai, arcade-ai, mcp-framework, python.
- Also covers AI Agents.
- When you need to build detailed, custom interactions between your AI agent and a structured environment that requires specific context management capabilities through the MCP protocol.
When NOT to use arcade-mcp
- If your project does not involve interaction with an environment that relies on the Model Context Protocol for its core functionality, Arcade-MCP may offer unnecessary complexity.
- When working in environments where direct support and integration of tools are crucial, arcade-mcp might have less support compared to more mainstream AI agent frameworks.
Choose dbt-mcp if…
- License: dbt-mcp is Apache-2.0, arcade-mcp 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (ArcadeAI/arcade-mcp) · observed Jul 27, 2026
- GitHub forks (ArcadeAI/arcade-mcp) · observed Jul 27, 2026
- Last push (ArcadeAI/arcade-mcp) · observed Jul 26, 2026
- License file (MIT) · observed Jul 27, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- 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 on cards: arcade-mcp 981 · dbt-mcp 595 (synced Jul 27, 2026).
Common questions
- What is the difference between arcade-mcp and dbt-mcp?
- arcade-mcp: MCP Server Framework and Tool Development Library for Custom Agent Capabilities. dbt-mcp: A MCP server for interacting with dbt. See the comparison table for live GitHub stats and shared categories.
- When should I choose arcade-mcp over dbt-mcp?
- Choose arcade-mcp over dbt-mcp when License: arcade-mcp is MIT, dbt-mcp is Apache-2.0; Requirements: Min 4 GB RAM; Tags unique to arcade-mcp: ai, arcade-ai, mcp-framework, python; Also covers AI Agents; When you need to build detailed, custom interactions between your AI agent and a structured environment that requires specific context management capabilities through the MCP protocol.
- When should I choose dbt-mcp over arcade-mcp?
- Choose dbt-mcp over arcade-mcp when License: dbt-mcp is Apache-2.0, arcade-mcp 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 avoid arcade-mcp?
- If your project does not involve interaction with an environment that relies on the Model Context Protocol for its core functionality, Arcade-MCP may offer unnecessary complexity. When working in environments where direct support and integration of tools are crucial, arcade-mcp might have less support compared to more mainstream AI agent frameworks.
- 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.
- Is arcade-mcp or dbt-mcp more popular on GitHub?
- arcade-mcp has more GitHub stars (981 vs 595). Stars measure visibility, not whether either tool fits your constraints.
- Are arcade-mcp and dbt-mcp open source?
- Yes - both are open-source projects on GitHub (arcade-mcp: MIT, dbt-mcp: Apache-2.0).
- Where can I find alternatives to arcade-mcp or dbt-mcp?
- GraphCanon lists graph-backed alternatives at arcade-mcp alternatives and dbt-mcp alternatives (arcade-mcp markdown twin, dbt-mcp 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, arcade-mcp or dbt-mcp?
- arcade-mcp: Very active. dbt-mcp: 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 arcade-mcp and dbt-mcp?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: arcade-mcp trust report; dbt-mcp trust report.