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Side-by-side MCP evidence comparison
Evidence fieldDataHubShortlist candidateSupabase MCPMCP100 Recommended
Task fit
Best for
  • Data teams that want catalog search, schema and lineage context inside AI-assisted data 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
  • Teams without a governed DataHub catalog or that need deterministic query safety beyond DataHub/warehouse permissions.
  • 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
  • Avoid automatically executing generated SQL or acting on sensitive catalog context without the normal data-platform approval controls.
  • 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

endpoint:https: · Publisher source ↗

First-party MCP

Supabase · Publisher source ↗

Maintenance
Maintenance details

Repo: Not documented

Package: Not documented

Repo: Sep 24, 2026

Package: Sep 21, 2026

Popularity evidence
GitHub stars

83

GitHub stars · checked 2026-10-21

2,919

GitHub stars · checked 2026-09-24T04:16:20.864000Z

Package downloads / 30 days

37,942

package downloads / 30 days · checked 2026-10-21

406,869

package downloads / 30 days · checked 2026-09-24T04:17:50.300000Z

Client coverage
Client coverage detailsNot documented
Claude Code✓ Streamable HTTP
Claude Desktop✓ Streamable HTTP
Codex✓ Streamable HTTP
VS Code✓ Streamable HTTP
Cursor✓ Streamable HTTP
OpenCode✓ Streamable HTTP
Client coverage noteLocal stdio runs on your computer. Streamable HTTP connects to a remotely hosted MCP server.
Access and data
AuthenticationManaged remote service uses DataHub authorization/OAuth; local/self-hosted mode uses the deployment's supported DataHub credentials.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.
CostDataHub Cloud/self-hosted infrastructure and model/provider costs apply according to deployment.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.
PermissionsAccess is bounded by the DataHub identity/tenant permissions; catalog context can include sensitive metadata and query-generation assistance.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 handlingCatalog metadata, schemas, lineage and generated query context can be sent to 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
  • Strong governed metadata/catalog use case, but MCP-specific operational maturity and write-scope controls are not yet Recommended-grade.
  • 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 contextSensitive enterprise metadata exposure and unsafe use of generated SQL are the main operational risks.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 review2026-10-212026-09-05
Candidate evidence2026-10-21T00:00:00Z2026-09-24T04:25:05.554391Z

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

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