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Side-by-side MCP evidence comparison
Evidence fieldMongoDB MCPMCP100 SelectedGoogle MCP Toolbox for DatabasesMCP100 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
  • Schema exploration and database-aware coding in development environments
  • Connecting one MCP layer to supported Google Cloud and third-party databases
  • Defining structured, parameterized database tools with integrated authentication and observability
Not ideal for
  • Unattended production database changes
  • Large exports or unrestricted collection access from a general-purpose AI client
  • Unrestricted natural-language SQL against production data
  • Teams unwilling to operate and secure a local or hosted Toolbox process
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 configured database user can modify production data or schema beyond the approved task
  • Sensitive query results cannot be sent to the AI client
  • Credentials would be committed in tools.yaml or MCP configuration
Provenance
Provenance details

First-party MCP

MongoDB · Publisher source ↗

First-party MCP

Google · Publisher source ↗

Maintenance
Maintenance details

Repo: Aug 14, 2026

Package: Aug 10, 2026

Repo: Aug 14, 2026

Package: Aug 14, 2026

Popularity evidence
GitHub stars

1,098

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

16,173

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

61,660

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

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: 16,173Exact 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✓ Local stdio
Claude Desktop✓ Local stdio
Codex✓ Local stdio
VS Code✓ Local stdio
Cursor✓ Local stdio
OpenCode✓ Local stdio
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.Authentication depends on the database source and can include database username/password, Google Cloud IAM, or other source-specific mechanisms. Use a dedicated read-only identity and secret manager or protected environment variables.
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 Apache-licensed Toolbox and npm server have no documented MCP usage fee. Database services, Google Cloud resources, network transfer, observability backends, hosting, and the AI client may incur normal charges.
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.Effective permissions come from each configured database identity and the enabled prebuilt or custom tools. Generic prebuilt sets can include schema discovery and execute_sql; custom tools can constrain statements, parameters, and accessible sources.
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.The Toolbox process connects directly to configured databases and returns selected schemas, rows, query results, and errors to the MCP client. Credentials may be supplied through environment variables or configuration; integrated cloud authentication and OpenTelemetry are available.
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.
  • Prebuilt tools are quick to adopt but may expose generic execute_sql capability; custom tools require more design but provide a narrower contract.
  • The npx path is convenient but the publisher recommends binary or container installation for standard reliable deployments.
  • Supporting many database engines increases configuration flexibility and operational complexity.
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.Generic SQL tools can expose or mutate large amounts of data and retrieved database text can carry prompt-injection content. Prefer a non-production replica, read-only credentials, allow-listed custom parameterized tools, query limits, audit logs, and no secrets in config. This review does not claim MCP100 execution testing.
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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