--- title: "arcade-mcp vs mcp-toolbox" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/arcadeai-arcade-mcp-vs-googleapis-mcp-toolbox" tools: ["arcadeai-arcade-mcp", "googleapis-mcp-toolbox"] --- # arcade-mcp vs mcp-toolbox *GraphCanon updated Aug 19, 2026* ## 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 mcp-toolbox if mCP Toolbox for Databases is an open-source tool that connects IDEs with multiple databases and automates tasks through AI features. [arcade-mcp](https://docs.arcade.dev) reports 981 GitHub stars, 101 forks, and 16 open issues, last pushed Jul 26, 2026. [mcp-toolbox](https://mcp-toolbox.dev/documentation/introduction/) has 16k stars, 1.7k forks, and 242 open issues, last pushed Aug 19, 2026. Figures are from public GitHub metadata via [arcade-mcp's repository](https://github.com/ArcadeAI/arcade-mcp) and [mcp-toolbox's repository](https://github.com/googleapis/mcp-toolbox). | | [arcade-mcp](/tools/arcadeai-arcade-mcp.md) | [mcp-toolbox](/tools/googleapis-mcp-toolbox.md) | | --- | --- | --- | | Tagline | MCP Server Framework and Tool Development Library for Custom Agent Capabilities | MCP Toolbox for Databases is an open source server enabling database-aware interactions and code generation via AI agents. | | Stars | 981 | 16,197 | | Forks | 101 | 1,686 | | Open issues | 16 | 242 | | Language | Python | Go | | Adopt for | 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. | MCP Toolbox for Databases is an open-source tool that connects IDEs with multiple databases and automates tasks through AI features. | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | AI Agents | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [arcade-mcp](/tools/arcadeai-arcade-mcp.md) | [mcp-toolbox](/tools/googleapis-mcp-toolbox.md) | | --- | --- | --- | | Open issues (now) | 16 | 242 | | Stars delta | Unknown | +217 (30d) | | Open issues delta | Unknown | -5 (30d) | | Full report | [trust report](/tools/arcadeai-arcade-mcp/trust.md) | [trust report](/tools/googleapis-mcp-toolbox/trust.md) | ## Decision facts: arcade-mcp - **Requirements:** Min 4 GB RAM - **Adopt for:** 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. ## Decision facts: mcp-toolbox - **Adopt for:** MCP Toolbox for Databases is an open-source tool that connects IDEs with multiple databases and automates tasks through AI features. ## Choose when ### Choose arcade-mcp if… - arcade-mcp is primarily Python; mcp-toolbox is Go. - License: arcade-mcp is MIT, mcp-toolbox is Apache-2.0. - Requirements: Min 4 GB RAM. - Tags unique to arcade-mcp: arcade-ai, mcp-framework, model-context-protocol, python. - 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. ### Choose mcp-toolbox if… - mcp-toolbox is primarily Go; arcade-mcp is Python. - License: mcp-toolbox is Apache-2.0, arcade-mcp is MIT. - Tags unique to mcp-toolbox: agent, agents, bigquery, clickhouse. - Also covers Data & Retrieval. - mcp-toolbox ships Docker support for self-hosted deployment. - - Use when you need to automate schema discovery, management, and code generation specific to your database. ## 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. ## When NOT to use mcp-toolbox - - Avoid if your IDE or client is not compatible with the MCP protocol. - - If you're looking for managed services rather than self-hosted solutions, as MCP Toolbox requires local setup and configuration. - - Not recommended if your development workflow strictly adheres to non-Google ecosystem tools and integrations. ## Common questions ### What is the difference between arcade-mcp and mcp-toolbox? arcade-mcp: MCP Server Framework and Tool Development Library for Custom Agent Capabilities. mcp-toolbox: MCP Toolbox for Databases is an open source server enabling database-aware interactions and code generation via AI agents.. See the comparison table for live GitHub stats and shared categories. ### When should I choose arcade-mcp over mcp-toolbox? Choose arcade-mcp over mcp-toolbox when arcade-mcp is primarily Python; mcp-toolbox is Go; License: arcade-mcp is MIT, mcp-toolbox is Apache-2.0; Requirements: Min 4 GB RAM; Tags unique to arcade-mcp: arcade-ai, mcp-framework, model-context-protocol, python; 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 mcp-toolbox over arcade-mcp? Choose mcp-toolbox over arcade-mcp when mcp-toolbox is primarily Go; arcade-mcp is Python; License: mcp-toolbox is Apache-2.0, arcade-mcp is MIT; Tags unique to mcp-toolbox: agent, agents, bigquery, clickhouse; Also covers Data & Retrieval; mcp-toolbox ships Docker support for self-hosted deployment; - Use when you need to automate schema discovery, management, and code generation specific to your database. ### 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 mcp-toolbox? - Avoid if your IDE or client is not compatible with the MCP protocol. - If you're looking for managed services rather than self-hosted solutions, as MCP Toolbox requires local setup and configuration. - Not recommended if your development workflow strictly adheres to non-Google ecosystem tools and integrations. ### Is arcade-mcp or mcp-toolbox more popular on GitHub? mcp-toolbox has more GitHub stars (16,197 vs 981). Stars measure visibility, not whether either tool fits your constraints. ### Are arcade-mcp and mcp-toolbox open source? Yes - both are open-source projects on GitHub (arcade-mcp: MIT, mcp-toolbox: Apache-2.0). ### Where can I find alternatives to arcade-mcp or mcp-toolbox? GraphCanon lists graph-backed alternatives at [arcade-mcp alternatives](/tools/arcadeai-arcade-mcp/alternatives) and [mcp-toolbox alternatives](/tools/googleapis-mcp-toolbox/alternatives) ([arcade-mcp markdown twin](/tools/arcadeai-arcade-mcp/alternatives.md), [mcp-toolbox markdown twin](/tools/googleapis-mcp-toolbox/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/arcadeai-arcade-mcp-vs-googleapis-mcp-toolbox.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, arcade-mcp or mcp-toolbox? arcade-mcp: Very active. mcp-toolbox: 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 mcp-toolbox? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [arcade-mcp trust report](/tools/arcadeai-arcade-mcp/trust); [mcp-toolbox trust report](/tools/googleapis-mcp-toolbox/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=arcadeai-arcade-mcp`](/api/graphcanon/graph?tool=arcadeai-arcade-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/_