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Side-by-side MCP evidence comparison
Evidence fieldGoogle MCP Toolbox for DatabasesMCP100 SelectedRedis MCPMCP100 Selected
Task fit
Best for
  • 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
  • Inspecting and manipulating Redis strings, hashes, lists, sets, sorted sets, streams, JSON, and search indexes
  • Development workflows using a dedicated local or test Redis database
  • Redis documentation search and operational investigation
Not ideal for
  • Unrestricted natural-language SQL against production data
  • Teams unwilling to operate and secure a local or hosted Toolbox process
  • Read-only analytics when write-capable Redis tools cannot be disabled or constrained by ACL
  • Production databases shared with latency-sensitive applications
Avoid when
  • 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
  • The Redis credential grants unrestricted access to production keys
  • TLS certificate verification is disabled for a remote Redis connection
  • The agent must not read, overwrite, publish, expire, or delete Redis data
Provenance
Provenance details

First-party MCP

Google · Publisher source ↗

First-party MCP

Redis · Publisher source ↗

Maintenance
Maintenance details

Repo: Aug 14, 2026

Package: Aug 14, 2026

Repo: Aug 5, 2026

Package: Aug 5, 2026

Popularity evidence
GitHub stars

16,173

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

568

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

30-day package downloads

61,660

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

22,058

PyPI Stats package downloads · checked 2026-08-14T18:46:26.000Z

External adoption evidence
  • github: repository stars: 16,173Exact attributable signal.github: repository stars · Admission snapshot · checked 2026-08-14T18:46:26.000ZEvidence source ↗
  • npm: package downloads: 12,402Exact attributable signal.npm: package downloads · Admission snapshot · checked 2026-07-29T17:30:00.000ZEvidence source ↗
  • github: repository stars: 568Exact attributable signal.github: repository stars · Admission snapshot · checked 2026-08-14T18:46:26.000ZEvidence source ↗
  • PyPI Stats: package downloads: 22,058Non-comparable contextual signal.PyPI Stats: package downloads · Provider last month · 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
AuthenticationAuthentication 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.Supports Redis username/password URLs, individual credential options, TLS through `rediss://`, CA certificate verification, cluster mode, and Microsoft Entra ID authentication for Azure Managed Redis.
CostThe 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.The first-party server is open source and the PyPI package documents no MCP usage fee. Redis Cloud, infrastructure, network, container, and AI-client costs remain separate.
PermissionsEffective 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.The server can read and write Redis keys and data structures, operate streams and pub/sub, manage search indexes, and inspect server information according to the connected Redis user's ACL. Redis ACL configuration is the effective permission boundary.
Data handlingThe 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.The stdio server runs locally and sends Redis query inputs and returned key values to the connected MCP client. It connects directly to the configured Redis deployment. Credentials can be supplied in a URI, CLI arguments, or environment variables; avoid embedding them in shareable config and logs.
Limitations
Tradeoffs
  • 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.
  • The server supports a wide Redis data surface, which is useful but makes the database credential the primary security boundary.
  • Running through uvx is simple but `@latest` is mutable; pin a reviewed release for repeatable deployments.
  • Connection URLs are convenient but can expose usernames and passwords in process arguments or client configuration.
Risk contextGeneric 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.A broad Redis tool set can expose or mutate application state, sessions, queues, cached records, and vector data. Use a dedicated database, a narrowly scoped ACL user, verified TLS, pinned releases, and backups. 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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