Field-by-field comparison

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MCPs in this comparison

io.github.mobile-next/mobile-mcpAtlassian Remote MCP

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Comparable alternatives

Azure MCP ServerMCP100 SelectedChrome DevTools MCPMCP100 SelectedContext7 MCPMCP100 SelectedFirecrawl MCPMCP100 SelectedGrafana Cloud MCPMCP100 SelectedGoogle MCP Toolbox for DatabasesMCP100 Selected

Shown only when capability or industry context overlaps.

Side-by-side MCP evidence comparison
Evidence field	io.github.mobile-next/mobile-mcpWatchlist candidate	Atlassian Remote MCPMCP100 Selected
Task fit
Best for	Letting an MCP client inspect and automate publisher-supported Android and iOS testing workflows	Searching and summarizing Jira and Confluence knowledge Creating and updating Jira work items or Confluence content with approval Connecting supported AI clients to Atlassian Cloud without self-hosting a server
Not ideal for	Deterministic API-level tests or production devices where broad UI control is unnecessary	Atlassian Server or Data Center deployments Organizations that do not allow enterprise content to pass through an external AI client Headless use when organization administrators do not permit API-token authentication
Avoid when	The target device contains personal accounts, messages, credentials, photos, or other data outside the test scope	The AI client is not approved for the Jira, Confluence, Bitbucket, Compass, or connected third-party data involved Existing Atlassian user permissions are too broad for agent use Write and bulk actions cannot require review
Provenance
Provenance details	Community implementation io.github.mobile-next · Publisher source ↗	First-party MCP Atlassian · Publisher source ↗
Maintenance
Maintenance details	Repo: Aug 9, 2026 Package: Aug 9, 2026	Repo: Not documented Package: Not documented
Popularity evidence
GitHub stars	5,918 GitHub stars · checked 2026-08-14T18:46:26.000Z	Not documented
30-day package downloads	95,397 30-day package downloads · checked 2026-08-14T18:46:26.000Z	No reliable download data
External adoption evidence	github: repository stars: 5,918Exact attributable signal.github: repository stars · Admission snapshot · checked 2026-08-14T18:46:26.000ZEvidence source ↗	Not documented
Client coverage
Client coverage details	Claude Code✓ Local stdio Claude Desktop✓ Local stdio Codex✓ Local stdio VS Code✓ Local stdio Cursor✓ Local stdio OpenCode✓ Local stdio	Claude Code✓ Streamable HTTP Claude Desktop✓ Streamable HTTP Codex✓ Streamable HTTP VS Code✓ Streamable HTTP Cursor✓ Streamable HTTP OpenCode✓ Streamable HTTP
Client coverage note	Local stdio runs on your computer. Streamable HTTP connects to a remotely hosted MCP server.
Access and data
Authentication	Stdio has no authentication documented. SSE defaults to localhost:3000 and supports Bearer authorization through MOBILEMCP_AUTH; binding to 0.0.0.0 is also documented.	OAuth 2.1 browser authorization is the default and recommended method. Admin-enabled, scoped personal API tokens support headless use and are required for Jira Service Management and Bitbucket Cloud tools; Compass tools require OAuth.
Cost	The Apache-2.0 project lists no MCP fee. Devices, platform tooling, client, model, and hosting costs are separate.	The core connection has no separately stated MCP fee. Users need applicable Atlassian Cloud products and an AI client. Beta tools are currently free; Atlassian says some may later be billed in Rovo credits with notice, and Teamwork Graph calls are expected to consume credits at general availability.
Permissions	Controls iOS and Android simulators, emulators, and real devices, including app install, uninstall and launch, taps, gestures, typing, screenshots, recordings, URLs, hardware buttons, and crash reports.	Tools are grouped by product and read, write, or search intent. Organization admins grant or revoke permission groups, and calls also honor the connected user's Jira, Confluence, Jira Service Management, Bitbucket, Compass, project, space, IP-allowlist, and OAuth or API-token scopes.
Data handling	Returns accessibility-tree data, screenshots, recordings, app and device metadata, and crash reports to the connected client. Telemetry, retention, and model-training behavior are not documented.	The Atlassian-hosted server retrieves and returns authorized Atlassian Cloud content to the external MCP client. Teamwork Graph tools can aggregate relationships across Atlassian products and connected third-party apps and may use AI processing. Traffic uses HTTPS/TLS, and Atlassian records tool-use events in the organization audit log.
Limitations
Tradeoffs	Cross-platform device control can accelerate exploratory testing, while UI automation is brittle and broad device access raises the impact of unintended actions.	The hosted service honors existing product permissions and provides audit events, but it can expose broad enterprise knowledge to the connected AI client. OAuth 2.1 is recommended; API tokens support headless workflows but require admin enablement and careful scope management. Some Teamwork Graph and search tools are Beta and may later consume paid Rovo credits.
Risk context	Device control, app installation and removal, screenshots, recordings, URLs, and crash reports can expose or change sensitive devices. Keep SSE local or set MOBILEMCP_AUTH before network exposure.	The integration can read and modify enterprise work and knowledge across several Atlassian products. Approve client domains, use least privilege, restrict permission groups and token scopes, retain write confirmation, review audit logs, and evaluate the external AI client's data policy. This review does not claim MCP100 execution testing.
Evidence date
Editorial review	2026-08-11	2026-07-24
Candidate evidence	2026-08-14T18:46:26.000Z	2026-07-29T20:58:26.000Z

Popularity, maintenance, fit, permissions, and client support are independent evidence fields.

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