Field-by-field comparison
Compare the evidence before choosing an MCP.
Each signal stays separate, missing facts remain visible, and the column order follows your selection.
| Evidence field | MariaDB MCPShortlist candidate | Redis MCPMCP100 Recommended |
|---|---|---|
| Task fit | ||
| Best for |
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| Not ideal for |
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| Avoid when |
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| Provenance | ||
| Provenance details | First-party MCP MariaDB Foundation · 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 stars | 209 GitHub stars · checked 2026-10-20 | 628 GitHub stars · checked 2026-09-24T04:14:26.347000Z |
| 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 | MariaDB database credentials; separately configured FastMCP authentication is available when exposing HTTP/SSE transports. | 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 | No separate MCP fee is documented. External embedding providers can have their own usage 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. |
| Permissions | Effective authority is the MariaDB database user's privileges. `MCP_READ_ONLY` is an application-level guard; the project recommends a dedicated least-privilege database user for true read-only protection. | 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 | Queries operate on the connected MariaDB database. Optional vector-store tools can send text to the configured embedding provider (OpenAI, Gemini, or local Hugging Face model depending on configuration). | 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 |
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| Risk context | The server includes database-creation and optional vector-store create/delete/insert tools. Mis-scoped database credentials can expose or modify production data. | 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 | 2026-10-19 | 2026-07-24 |
| Candidate evidence | 2026-10-20 | 2026-09-24T04:25:05.554391Z |
Popularity, maintenance, fit, permissions, and client support are independent evidence fields.
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