Field-by-field comparison

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MCPs in this comparison

Google AnalyticsSupabase MCP

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Comparable alternatives

Azure MCP ServerMCP100 SelectedChrome DevTools MCPMCP100 SelectedContext7 MCPMCP100 SelectedGrafana Cloud MCPMCP100 SelectedGoogle MCP Toolbox for DatabasesMCP100 SelectedGoogle Search Console MCP Server for SEOsMCP100 Selected

Shown only when capability or industry context overlaps.

Side-by-side MCP evidence comparison
Evidence field	Google AnalyticsWatchlist candidate	Supabase MCPMCP100 Selected
Task fit
Best for	Analytics teams that need read-only Google Analytics reporting/context inside MCP-capable AI workflows.	Inspecting one Supabase project's schema, logs, advisors, and docs Development environments using project-scoped read-only access Teams that understand database and deployment consequences
Not ideal for	Users who expect the MCP to change Google Analytics property/admin settings.	Production database administration by an unattended agent Users needing only public Supabase documentation Organizations unable to grant Supabase OAuth access to an MCP client
Avoid when	Do not grant broader Google credentials than the read scopes/account access required for the intended Analytics properties.	The server would be left organization-wide rather than project-scoped Write-capable SQL, migrations, functions, branches, or storage changes cannot be human-approved Production secrets or customer records could be returned to the model
Provenance
Provenance details	First-party MCP github:googleanalytics · Publisher source ↗	First-party MCP Supabase · Publisher source ↗
Maintenance
Maintenance details	Stale Repo: Not documented Package: Not documented	Repo: Aug 14, 2026 Package: Not documented
Popularity evidence
GitHub stars	Not documented	2,863 GitHub stars · checked 2026-08-14T18:46:26.000Z
Package downloads / 30 days	No reliable download data	484,999 package downloads / 30 days · checked 2026-09-08
Client coverage
Client coverage details	Not documented	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	Uses Google authentication/credentials documented by the official server; exact credential flow must be bound from current official/local evidence.	Hosted MCP uses browser OAuth and grants organization access to the MCP client. Project scope, read-only mode, and feature groups are encoded in URL query parameters. Enterprise-managed authentication is GA for eligible Team and Enterprise organizations. Access remains scoped to each user's existing Supabase role and permissions.
Cost	Google Analytics/API quotas and model/provider costs apply; no extra MCP entitlement should be inferred without publisher evidence.	The MCP server is open source; normal Supabase plan, database, branch, Edge Function, storage, and usage charges apply. Branching and some storage operations require a paid plan.
Permissions	Read-only according to current Google Analytics MCP documentation; it does not edit Analytics settings.	Without project_ref the hosted server can access all projects in the authorized organization. With project_ref it is limited to one project. read_only=true uses a read-only Postgres user for SQL and disables listed mutation tools. Feature groups can further narrow exposed tools.
Data handling	Analytics reporting/property data can be shared with the connected AI client/provider.	Enabled tools may return schemas, table data from executed queries, logs, security/performance advisors, project metadata, publishable keys, types, and Edge Function source. Hosted mode sends tool requests through Supabase's MCP service.
Limitations
Tradeoffs	Promising signal, but it ranks below the current Selected/Watchlist admission cohort on maturity, uniqueness, publisher trust, security clarity, or MCP-native evidence.	Project scoping removes account-level tools but materially reduces blast radius. Read-only mode disables mutations but also removes migration, deployment, branch, and storage configuration workflows. Branching and some storage capabilities require paid plans; the server is pre-1.0 and may change.
Risk context	Main concerns are analytics-data confidentiality and credential scoping; the reviewed server is not a write/admin surface.	Unscoped or write-enabled access can affect every project in an organization, execute SQL, apply migrations, deploy functions, or manage branches. Always set project_ref and read_only=true first, minimize feature groups, and avoid production data.
Evidence date
Editorial review	2026-09-13T00:00:00Z	2026-09-05
Candidate evidence	2026-09-13T00:00:00Z	2026-09-05T00:00:00.000Z

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

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