--- title: "atlassian-mcp-server vs gemini-mcp-tool" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/atlassian-atlassian-mcp-server-vs-jamubc-gemini-mcp-tool" tools: ["atlassian-atlassian-mcp-server", "jamubc-gemini-mcp-tool"] --- # atlassian-mcp-server vs gemini-mcp-tool *GraphCanon updated Jul 27, 2026* ## Verdict 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; pick gemini-mcp-tool if gemini-mcp-tool is an MCP server enabling interactions between AI assistants and Google Gemini CLI for file analysis and codebase understanding. [atlassian-mcp-server](https://atlassian.com/platform/rovo-mcp) reports 910 GitHub stars, 116 forks, and 71 open issues, last pushed Jul 8, 2026. [gemini-mcp-tool](https://jamubc.github.io/gemini-mcp-tool/) has 2.3k stars, 198 forks, and 28 open issues, last pushed Jul 21, 2026. Figures are from public GitHub metadata via [atlassian-mcp-server's repository](https://github.com/atlassian/atlassian-mcp-server) and [gemini-mcp-tool's repository](https://github.com/jamubc/gemini-mcp-tool). | | [atlassian-mcp-server](/tools/atlassian-atlassian-mcp-server.md) | [gemini-mcp-tool](/tools/jamubc-gemini-mcp-tool.md) | | --- | --- | --- | | Tagline | Official MCP server for integrating Atlassian products with AI tools through OAuth and API tokens | MCP server for AI assistant interaction with Google Gemini CLI | | Stars | 910 | 2,264 | | Forks | 116 | 198 | | Open issues | 71 | 28 | | Language | JavaScript | TypeScript | | 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. | gemini-mcp-tool is an MCP server enabling interactions between AI assistants and Google Gemini CLI for file analysis and codebase understanding. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Other | | Categories | AI Agents, Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [atlassian-mcp-server](/tools/atlassian-atlassian-mcp-server.md) | [gemini-mcp-tool](/tools/jamubc-gemini-mcp-tool.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 18d | 5d | | Open issues (now) | 71 | 28 | | Owner type | Organization | User | | Full report | [trust report](/tools/atlassian-atlassian-mcp-server/trust.md) | [trust report](/tools/jamubc-gemini-mcp-tool/trust.md) | ## 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. ## Decision facts: gemini-mcp-tool - **Adopt for:** gemini-mcp-tool is an MCP server enabling interactions between AI assistants and Google Gemini CLI for file analysis and codebase understanding. ## Choose when ### Choose atlassian-mcp-server if… - atlassian-mcp-server is primarily JavaScript; gemini-mcp-tool is TypeScript. - License: atlassian-mcp-server is Apache-2.0, gemini-mcp-tool is Other. - Tags unique to atlassian-mcp-server: ai, atlassian, bitbucket, chatgpt. - When needing secure integration of Atlassian apps with AI like ChatGPT or VS Code through modern authentication ### Choose gemini-mcp-tool if… - gemini-mcp-tool is primarily TypeScript; atlassian-mcp-server is JavaScript. - License: gemini-mcp-tool is Other, atlassian-mcp-server is Apache-2.0. - Tags unique to gemini-mcp-tool: ai-assistants, code-analysis, file-analysis, google-gemini-cli. - gemini-mcp-tool ships an MCP server manifest. - Use gemini-mcp-tool when you need to leverage the large-scale token window of Google Gemini for deep analysis on complex codebases or large files. ## 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 ## When NOT to use gemini-mcp-tool - Avoid using gemini-mcp-tool if you are working within a restricted token window as it specializes in exploiting Gemini’s large token capacity. - Do not use this tool for basic or small-scale code analysis tasks that do not require the scale and depth of Google Gemini's capabilities. ## Common questions ### What is the difference between atlassian-mcp-server and gemini-mcp-tool? atlassian-mcp-server: Official MCP server for integrating Atlassian products with AI tools through OAuth and API tokens. gemini-mcp-tool: MCP server for AI assistant interaction with Google Gemini CLI. See the comparison table for live GitHub stats and shared categories. ### When should I choose atlassian-mcp-server over gemini-mcp-tool? Choose atlassian-mcp-server over gemini-mcp-tool when atlassian-mcp-server is primarily JavaScript; gemini-mcp-tool is TypeScript; License: atlassian-mcp-server is Apache-2.0, gemini-mcp-tool is Other; Tags unique to atlassian-mcp-server: ai, atlassian, bitbucket, chatgpt; When needing secure integration of Atlassian apps with AI like ChatGPT or VS Code through modern authentication. ### When should I choose gemini-mcp-tool over atlassian-mcp-server? Choose gemini-mcp-tool over atlassian-mcp-server when gemini-mcp-tool is primarily TypeScript; atlassian-mcp-server is JavaScript; License: gemini-mcp-tool is Other, atlassian-mcp-server is Apache-2.0; Tags unique to gemini-mcp-tool: ai-assistants, code-analysis, file-analysis, google-gemini-cli; gemini-mcp-tool ships an MCP server manifest; Use gemini-mcp-tool when you need to leverage the large-scale token window of Google Gemini for deep analysis on complex codebases or large files. ### 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 ### When should I avoid gemini-mcp-tool? Avoid using gemini-mcp-tool if you are working within a restricted token window as it specializes in exploiting Gemini’s large token capacity. Do not use this tool for basic or small-scale code analysis tasks that do not require the scale and depth of Google Gemini's capabilities. ### Is atlassian-mcp-server or gemini-mcp-tool more popular on GitHub? gemini-mcp-tool has more GitHub stars (2,264 vs 910). Stars measure visibility, not whether either tool fits your constraints. ### Are atlassian-mcp-server and gemini-mcp-tool open source? Yes - both are open-source projects on GitHub (atlassian-mcp-server: Apache-2.0, gemini-mcp-tool: Other). ### Where can I find alternatives to atlassian-mcp-server or gemini-mcp-tool? GraphCanon lists graph-backed alternatives at [atlassian-mcp-server alternatives](/tools/atlassian-atlassian-mcp-server/alternatives) and [gemini-mcp-tool alternatives](/tools/jamubc-gemini-mcp-tool/alternatives) ([atlassian-mcp-server markdown twin](/tools/atlassian-atlassian-mcp-server/alternatives.md), [gemini-mcp-tool markdown twin](/tools/jamubc-gemini-mcp-tool/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/atlassian-atlassian-mcp-server-vs-jamubc-gemini-mcp-tool.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, atlassian-mcp-server or gemini-mcp-tool? atlassian-mcp-server: Active. gemini-mcp-tool: 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 atlassian-mcp-server and gemini-mcp-tool? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [atlassian-mcp-server trust report](/tools/atlassian-atlassian-mcp-server/trust); [gemini-mcp-tool trust report](/tools/jamubc-gemini-mcp-tool/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=atlassian-atlassian-mcp-server`](/api/graphcanon/graph?tool=atlassian-atlassian-mcp-server) - 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/_