Field-by-field comparison

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MCPs in this comparison

DataHubRedis MCP

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Comparable alternatives

Azure MCP ServerMCP100 SelectedChrome DevTools MCPMCP100 SelectedContext7 MCPMCP100 SelectedGrafana Cloud MCPMCP100 SelectedGoogle MCP Toolbox for DatabasesMCP100 SelectedExcel MCP ServerMCP100 Selected

Shown only when capability or industry context overlaps.

Side-by-side MCP evidence comparison
Evidence field	DataHubWatchlist candidate	Redis MCPMCP100 Selected
Task fit
Best for	Data teams that want catalog search, schema and lineage context inside AI-assisted data workflows.	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	Teams without a governed DataHub catalog or that need deterministic query safety beyond DataHub/warehouse permissions.	Read-only analytics when write-capable Redis tools cannot be disabled or constrained by ACL Production databases shared with latency-sensitive applications
Avoid when	Avoid automatically executing generated SQL or acting on sensitive catalog context without the normal data-platform approval controls.	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 endpoint:https: · Publisher source ↗	First-party MCP Redis · Publisher source ↗
Maintenance
Maintenance details	Stale Repo: Not documented Package: Not documented	Repo: Aug 5, 2026 Package: Aug 5, 2026
Popularity evidence
GitHub stars	Not documented	568 GitHub stars · checked 2026-08-14T18:46:26.000Z
Package downloads / 30 days	No reliable download data	22,058 package downloads / 30 days · checked 2026-08-14T18:46:26.000Z
Client coverage
Client coverage details	Not documented	Claude Code✓ Local stdio Claude Desktop✓ Local stdio Codex✓ Local stdio VS Code✓ Local stdio Cursor✓ Local stdio OpenCode✓ Local stdio
Client coverage note	Local stdio runs on your computer. Streamable HTTP connects to a remotely hosted MCP server.
Access and data
Authentication	Managed remote service uses DataHub authorization/OAuth; local/self-hosted mode uses the deployment's supported DataHub credentials.	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.
Cost	DataHub Cloud/self-hosted infrastructure and model/provider costs apply according to deployment.	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.
Permissions	Access is bounded by the DataHub identity/tenant permissions; catalog context can include sensitive metadata and query-generation assistance.	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 handling	Catalog metadata, schemas, lineage and generated query context can be sent to the connected AI client/provider.	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	Strong governed metadata/catalog use case, but MCP-specific operational maturity and write-scope controls are not yet Selected-grade.	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 context	Sensitive enterprise metadata exposure and unsafe use of generated SQL are the main operational risks.	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 review	2026-09-13T00:00:00Z	2026-07-24
Candidate evidence	2026-09-13T00:00:00Z	2026-08-14T18:46:26.000Z

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

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