--- title: "arcade-mcp vs atlassian-mcp-server" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/arcadeai-arcade-mcp-vs-atlassian-atlassian-mcp-server" tools: ["arcadeai-arcade-mcp", "atlassian-atlassian-mcp-server"] --- # arcade-mcp vs atlassian-mcp-server *GraphCanon updated Jul 27, 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 atlassian-mcp-server if the atlassian-mcp-server is an official repository designed to bridge Atlassian products including Jira, Confluence, and Bitbucket with AI tools via the Model Context Protocol using OAuth 2.1 or API tokens. [arcade-mcp](https://docs.arcade.dev) reports 981 GitHub stars, 101 forks, and 16 open issues, last pushed Jul 26, 2026. [atlassian-mcp-server](https://atlassian.com/platform/rovo-mcp) has 910 stars, 116 forks, and 71 open issues, last pushed Jul 8, 2026. Figures are from public GitHub metadata via [arcade-mcp's repository](https://github.com/ArcadeAI/arcade-mcp) and [atlassian-mcp-server's repository](https://github.com/atlassian/atlassian-mcp-server). | | [arcade-mcp](/tools/arcadeai-arcade-mcp.md) | [atlassian-mcp-server](/tools/atlassian-atlassian-mcp-server.md) | | --- | --- | --- | | Tagline | MCP Server Framework and Tool Development Library for Custom Agent Capabilities | Official MCP server for integrating Atlassian products with AI tools through OAuth and API tokens | | Stars | 981 | 910 | | Forks | 101 | 116 | | Open issues | 16 | 71 | | Language | Python | JavaScript | | 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. | The atlassian-mcp-server is an official repository designed to bridge Atlassian products including Jira, Confluence, and Bitbucket with AI tools via the Model Context Protocol using OAuth 2.1 or API tokens. | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | AI Agents | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [arcade-mcp](/tools/arcadeai-arcade-mcp.md) | [atlassian-mcp-server](/tools/atlassian-atlassian-mcp-server.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 0d | 18d | | Open issues (now) | 16 | 71 | | Full report | [trust report](/tools/arcadeai-arcade-mcp/trust.md) | [trust report](/tools/atlassian-atlassian-mcp-server/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: atlassian-mcp-server - **Adopt for:** The atlassian-mcp-server is an official repository designed to bridge Atlassian products including Jira, Confluence, and Bitbucket with AI tools via the Model Context Protocol using OAuth 2.1 or API tokens. ## Choose when ### Choose arcade-mcp if… - arcade-mcp is primarily Python; atlassian-mcp-server is JavaScript. - License: arcade-mcp is MIT, atlassian-mcp-server 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 atlassian-mcp-server if… - atlassian-mcp-server is primarily JavaScript; arcade-mcp is Python. - License: atlassian-mcp-server is Apache-2.0, arcade-mcp is MIT. - Tags unique to atlassian-mcp-server: atlassian, bitbucket, chatgpt, claude. - Also covers Developer Tools. - When needing secure integration of Atlassian apps with AI like ChatGPT or VS Code through modern authentication ## 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 atlassian-mcp-server - If only generic third-party integrations without official Atlassian support are required - For environments that do not allow OAuth 2.1 or API token-based authentication methods ## Common questions ### What is the difference between arcade-mcp and atlassian-mcp-server? arcade-mcp: MCP Server Framework and Tool Development Library for Custom Agent Capabilities. atlassian-mcp-server: Official MCP server for integrating Atlassian products with AI tools through OAuth and API tokens. See the comparison table for live GitHub stats and shared categories. ### When should I choose arcade-mcp over atlassian-mcp-server? Choose arcade-mcp over atlassian-mcp-server when arcade-mcp is primarily Python; atlassian-mcp-server is JavaScript; License: arcade-mcp is MIT, atlassian-mcp-server 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 atlassian-mcp-server over arcade-mcp? Choose atlassian-mcp-server over arcade-mcp when atlassian-mcp-server is primarily JavaScript; arcade-mcp is Python; License: atlassian-mcp-server is Apache-2.0, arcade-mcp is MIT; Tags unique to atlassian-mcp-server: atlassian, bitbucket, chatgpt, claude; Also covers Developer Tools; When needing secure integration of Atlassian apps with AI like ChatGPT or VS Code through modern authentication. ### 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 atlassian-mcp-server? If only generic third-party integrations without official Atlassian support are required For environments that do not allow OAuth 2.1 or API token-based authentication methods ### Is arcade-mcp or atlassian-mcp-server more popular on GitHub? arcade-mcp has more GitHub stars (981 vs 910). Stars measure visibility, not whether either tool fits your constraints. ### Are arcade-mcp and atlassian-mcp-server open source? Yes - both are open-source projects on GitHub (arcade-mcp: MIT, atlassian-mcp-server: Apache-2.0). ### Where can I find alternatives to arcade-mcp or atlassian-mcp-server? GraphCanon lists graph-backed alternatives at [arcade-mcp alternatives](/tools/arcadeai-arcade-mcp/alternatives) and [atlassian-mcp-server alternatives](/tools/atlassian-atlassian-mcp-server/alternatives) ([arcade-mcp markdown twin](/tools/arcadeai-arcade-mcp/alternatives.md), [atlassian-mcp-server markdown twin](/tools/atlassian-atlassian-mcp-server/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-atlassian-atlassian-mcp-server.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, arcade-mcp or atlassian-mcp-server? arcade-mcp: Very active. atlassian-mcp-server: 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 atlassian-mcp-server? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [arcade-mcp trust report](/tools/arcadeai-arcade-mcp/trust); [atlassian-mcp-server trust report](/tools/atlassian-atlassian-mcp-server/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/_