Field-by-field comparison

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MCPs in this comparison

clickhouseRedis MCP

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Comparable alternatives

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

Shown only when capability or industry context overlaps.

Side-by-side MCP evidence comparison
Evidence field	clickhouseMCP100 Selected	Redis MCPMCP100 Selected
Task fit
Best for	High-volume analytical database exploration and query workflows for ClickHouse deployments.	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 outside the publisher ecosystem or without least-privilege credentials	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 connected identity is broader than the task requires Tool calls cannot be reviewed before consequential mutations	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 ecosystem:clickhouse · Publisher source ↗	First-party MCP Redis · Publisher source ↗
Maintenance
Maintenance details	Repo: Aug 5, 2026 Package: Not documented	Repo: Aug 5, 2026 Package: Aug 5, 2026
Popularity evidence
GitHub stars	851 GitHub stars · checked 2026-08-14T18:46:26.000Z	568 GitHub stars · checked 2026-08-14T18:46:26.000Z
30-day package downloads	No reliable download data	22,058 PyPI Stats package downloads · checked 2026-08-14T18:46:26.000Z
External adoption evidence	github: repository stars: 851Exact 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 note	Local stdio runs on your computer. Streamable HTTP connects to a remotely hosted MCP server.
Access and data
Authentication	The official server uses configured ClickHouse connection credentials and supports secure deployment settings.	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	The MCP integration has no separately verified MCP100 price conclusion. Publisher subscriptions, API usage, compute, storage, and AI-client charges may 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	ClickHouse credentials and database grants define accessible schemas and queries; the server defaults to read-only behavior.	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	Authorized service data and tool results pass through the MCP server to the connected AI client. Review the publisher and client data policies before using sensitive data & databases information.	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	Queries can expose large or sensitive datasets and consume cluster capacity even when writes are disabled.	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	Queries can expose large or sensitive datasets and consume cluster capacity even when writes are disabled. Use a test environment where practical, least-privilege credentials, narrowly enabled tools, and explicit confirmation for mutations. MCP100 did not execute third-party server code during this documentation review.	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	2026-07-30	2026-07-24
Candidate evidence	2026-08-14T18:46:26.000Z	2026-08-14T18:46:26.000Z

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

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