Field-by-field comparison

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MCPs in this comparison

GreptimeDB MCPRedis MCP

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Comparable alternatives

Azure MCP ServerMCP100 RecommendedChrome DevTools MCPMCP100 RecommendedContext7 MCPMCP100 RecommendedGrafana Cloud MCPMCP100 RecommendedGoogle MCP Toolbox for DatabasesMCP100 RecommendedPlaywright MCPMCP100 Recommended

Shown only when capability or industry context overlaps.

Side-by-side MCP evidence comparison
Evidence field	GreptimeDB MCPShortlist candidate	Redis MCPMCP100 Recommended
Task fit
Best for	Read-oriented observability/database exploration with GreptimeDB Teams that value masking/audit controls and can keep the server narrowly scoped	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	Users looking for a mature broadly adopted MCP ecosystem Deployments that need extensive write/admin capabilities	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 deployment disables documented read-only/masking safeguards Sensitive data masking and audit settings have not been validated	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 reviewed-detail:greptimedb-mcp · 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	27 GitHub stars · checked 2026-09-11	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	Uses GreptimeDB connection/auth credentials supplied to the server.	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	Open-source server; GreptimeDB service/infrastructure costs apply.	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	Database queries are read-only by default through an application security gate; pipeline/dashboard management tools can write through the HTTP API. GREPTIMEDB_ALLOW_WRITE can bypass the SQL gate and must remain false for production.	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 can expose GreptimeDB observability/time-series data; masking/audit configuration should be validated for sensitive fields.	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	Safer defaults reduce database risk Smaller ecosystem means less production evidence and fewer independent deployments to learn from	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	Medium to high. Default SQL controls, masking, and audit are strong, but pipeline/dashboard management is mutating and enabling write mode allows destructive SQL. A current SDK 2.x migration issue also needs compatibility monitoring.	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	2026-09-11	2026-07-24
Candidate evidence	2026-09-11T00:00:00.000Z	2026-09-24T04:25:05.554391Z

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

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