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Side-by-side MCP evidence comparison
Evidence fieldclickhouseMCP100 RecommendedGoogle MCP Toolbox for DatabasesMCP100 Recommended
Task fit
Best for
  • High-volume analytical database exploration and query workflows for ClickHouse deployments.
  • Schema exploration and database-aware coding in development environments
  • Connecting one MCP layer to supported Google Cloud and third-party databases
  • Defining structured, parameterized database tools with integrated authentication and observability
Not ideal for
  • Teams outside the publisher ecosystem or without least-privilege credentials
  • Unrestricted natural-language SQL against production data
  • Teams unwilling to operate and secure a local or hosted Toolbox process
Avoid when
  • The connected identity is broader than the task requires
  • Tool calls cannot be reviewed before consequential mutations
  • The configured database user can modify production data or schema beyond the approved task
  • Sensitive query results cannot be sent to the AI client
  • Credentials would be committed in tools.yaml or MCP configuration
Provenance
Provenance details

First-party MCP

ecosystem:clickhouse · Publisher source ↗

First-party MCP

Google · Publisher source ↗

Maintenance
Maintenance details

Repo: Sep 21, 2026

Package: Not documented

Repo: Sep 24, 2026

Package: Not documented

Popularity evidence
GitHub stars

878

GitHub stars · checked 2026-09-24T04:14:39.535000Z

16,485

GitHub stars · checked 2026-09-24T04:14:16.258000Z

Package downloads / 30 days

248,614

package downloads / 30 days · checked 2026-09-24T04:17:50.251000Z

No reliable download data
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 noteLocal stdio runs on your computer. Streamable HTTP connects to a remotely hosted MCP server.
Access and data
AuthenticationThe official server uses configured ClickHouse connection credentials and supports secure deployment settings.Authentication depends on the database source and can include database username/password, Google Cloud IAM, or other source-specific mechanisms. Use a dedicated read-only identity and secret manager or protected environment variables.
CostThe MCP integration has no separately verified MCP100 price conclusion. Publisher subscriptions, API usage, compute, storage, and AI-client charges may apply.The Apache-licensed Toolbox and npm server have no documented MCP usage fee. Database services, Google Cloud resources, network transfer, observability backends, hosting, and the AI client may incur normal charges.
PermissionsThe configured ClickHouse user's grants and RBAC define the authoritative accessible schemas and queries. MCP-side general writes require CLICKHOUSE_ALLOW_WRITE_ACCESS, and DROP, TRUNCATE, DELETE, and similar destructive operations require the additional CLICKHOUSE_ALLOW_DROP control.Effective permissions come from each configured database identity and the enabled prebuilt or custom tools. Generic prebuilt sets can include schema discovery and execute_sql; custom tools can constrain statements, parameters, and accessible sources.
Data handlingAuthorized 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 Toolbox process connects directly to configured databases and returns selected schemas, rows, query results, and errors to the MCP client. Credentials may be supplied through environment variables or configuration; integrated cloud authentication and OpenTelemetry are available.
Limitations
Tradeoffs
  • Queries can expose large or sensitive datasets and consume cluster capacity even when writes are disabled.
  • Prebuilt tools are quick to adopt but may expose generic execute_sql capability; custom tools require more design but provide a narrower contract.
  • The npx path is convenient but the publisher recommends binary or container installation for standard reliable deployments.
  • Supporting many database engines increases configuration flexibility and operational complexity.
Risk contextMCP-side write and destructive opt-ins are safety controls, not the primary security boundary. Queries can expose large or sensitive datasets and consume cluster capacity. Use a narrowly privileged ClickHouse identity, least-privilege grants/RBAC, narrowly enabled tools, and explicit confirmation for mutations even when destructive controls are disabled.Generic SQL tools can expose or mutate large amounts of data and retrieved database text can carry prompt-injection content. Prefer a non-production replica, read-only credentials, allow-listed custom parameterized tools, query limits, audit logs, and no secrets in config. This review does not claim MCP100 execution testing.
Evidence date
Editorial review2026-07-302026-07-24
Candidate evidence2026-09-24T04:25:05.554391Z2026-09-24T04:25:05.554391Z

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

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