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Side-by-side MCP evidence comparison
Evidence fieldPlanetScale MCPShortlist candidateRedis MCPMCP100 Recommended
Task fit
Best for
  • PlanetScale database organization and branch administration
  • Use when operating PlanetScale databases and branches.
  • 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
  • Database/organization access is consequential, including schema or branch changes.
  • Read-only analytics when write-capable Redis tools cannot be disabled or constrained by ACL
  • Production databases shared with latency-sensitive applications
Avoid when
  • Database/organization access is consequential, including schema or branch changes.
  • 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

PlanetScale · Publisher source ↗

First-party MCP

Redis · Publisher source ↗

Maintenance
Maintenance details

Repo: Not documented

Package: Not documented

Repo: Sep 21, 2026

Package: Not documented

Popularity evidence
GitHub starsNot documented

628

GitHub stars · checked 2026-09-24T04:14:26.347000Z

Shared repository stars

5

Shared repository stars (not MCP-specific) · checked 2026-10-20

Not documented
Client coverage
Client coverage detailsNot documented
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
AuthenticationThe hosted PlanetScale MCP authenticates with OAuth.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.
CostPlanetScale is a paid database service; current pricing starts with paid clusters and also includes charges for items such as routers, backup storage, and public egress.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.
PermissionsPlanetScale documents configurable access including read-only or full-access permissions for production and development database branches.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 handlingPlanetScale states that short-lived database credentials are created on demand for each query and deleted immediately after execution. Queries include source SQL comments for traceability.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
  • Recommend read-only, or insights-only variant; docs outweigh README for tool completeness
  • 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 contextThe MCP can execute database queries and, with sufficient permission, make consequential schema/branch changes. Database mutations can affect production data and service cost.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 review2026-10-192026-07-24
Candidate evidence2026-10-192026-09-24T04:25:05.554391Z

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

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