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Side-by-side MCP evidence comparison
Evidence fieldMongoDB MCPMCP100 SelectedSupabase MCPMCP100 Selected
Task fit
Best for
  • Exploring schemas, collections, queries, indexes, and performance information
  • Providing development assistants with read-only MongoDB context
  • Scoped MongoDB Atlas project and cluster administration
  • 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
  • Unattended production database changes
  • Large exports or unrestricted collection access from a general-purpose AI client
  • 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
  • The database user or Atlas service account is broader than the intended workflow
  • Read-only mode cannot be enabled for exploratory use
  • Sensitive query results must not be exposed to the selected AI client
  • 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

MongoDB · Publisher source ↗

First-party MCP

Supabase · Publisher source ↗

Maintenance
Maintenance details

Repo: Aug 14, 2026

Package: Aug 10, 2026

Repo: Aug 14, 2026

Package: Not documented

Popularity evidence
GitHub stars

1,098

GitHub stars · checked 2026-08-14T18:46:26.000Z

2,863

GitHub stars · checked 2026-08-14T18:46:26.000Z

30-day package downloads

445,811

30-day package downloads · checked 2026-08-14T18:46:26.000Z

No reliable download data
External adoption evidence
  • github: repository stars: 1,098Exact attributable signal.github: repository stars · Admission snapshot · checked 2026-08-14T18:46:26.000ZEvidence source ↗
  • github: repository stars: 2,863Exact attributable signal.github: repository stars · Admission snapshot · checked 2026-08-14T18:46:26.000ZEvidence source ↗
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 noteLocal stdio runs on your computer. Streamable HTTP connects to a remotely hosted MCP server.
Access and data
AuthenticationSupports MongoDB connection strings and MongoDB authentication mechanisms, including enterprise OIDC, LDAP, Kerberos, and X.509 where supported. Atlas management tools use an appropriately permissioned Atlas service account.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.
CostThe official MCP server is open source and has no separately documented server fee. MongoDB Atlas, Enterprise Advanced, infrastructure, data transfer, and AI-client charges remain applicable.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.
PermissionsDatabase operations run with the connected MongoDB user's roles; Atlas operations require an Atlas service account with the relevant project permissions. The server exposes database, collection, query, index, performance, and Atlas administration tools. Publisher examples recommend `--readOnly` for data access.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 handlingThe local MCP process connects to the configured MongoDB deployment and returns query, schema, index, and Atlas results to the AI client. Export features can write query or aggregation results to local files. Telemetry collection can be configured or disabled; logs may contain operational metadata and must be handled appropriately.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
  • The server combines database and Atlas management tools, which is convenient but requires separately scoped database and Atlas credentials.
  • Read-only mode limits database mutation but must be intentionally retained; omitting `--readOnly` enables writes.
  • Telemetry and index-checking features are configurable and should be reviewed for the deployment.
  • 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 contextThe main risks are disclosure or mutation of database records and over-broad Atlas administration. Start with `--readOnly`, a dedicated least-privilege database user, narrowly scoped Atlas service credentials, disabled unnecessary tools and telemetry, and non-production data. This review does not claim MCP100 execution testing.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 review2026-07-242026-07-24
Candidate evidence2026-08-14T18:46:26.000Z2026-08-14T18:46:26.000Z

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

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