MCP.Market

Clickhouse Dataops MCP server

by Aguantar·io.github.Aguantar/clickhouse-dataops-mcp·v0.1.1

DataOps ClickHouse MCP server with query optimization and pipeline monitoring

C66/100grade C
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Safety scan
C66/100

full report

Adoption
New

0 stars40 downloads/wk

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Clickhouse Dataops tools (8, 2 write)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • ch_data_qualitywrite action

    Run data quality checks: nulls, duplicates, gaps, and market coverage.

  • ch_disk_usage

    Analyze disk usage by table and partition with recommendations.

  • ch_explain_query

    Analyze a query's execution plan and suggest optimizations.

  • ch_list_tables

    List all tables with metadata and built-in descriptions.

  • ch_pipeline_latency

    Analyze CDC pipeline latency by segment.

  • ch_querywrite action

    Execute a read-only SQL query against ClickHouse.

  • ch_slow_queries

    Find slow queries with root cause diagnosis.

  • ch_table_schema

    Get comprehensive table metadata: columns, engine, keys, partitions, and sample data.

Public scan report

scanner v0.1.10 · 2026-09-27 · same rubric, same numbers if you re-run it

no findings
  • Code scan16 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitystatic API keys via environment variables6/15
  • Maintenancelast push 193 days ago4/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Overall 66/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Clickhouse Dataops compares

Against every graded Databases MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
66/100
higher than 18% of 802 Databases servers
Tools
8
the typical Databases server has 8
Tools that change things
25%
typical: 10%. Fewer write tools means less an agent can break
Downloads a week
40
more than 30% of 324 Databases servers with a package

What its tools let an agent do: 6 read · 2 change

Install Clickhouse Dataops in Claude Code, Cursor or VS Code

claude mcp add clickhouse-dataops-mcp -- uvx clickhouse-dataops-mcp
Add to Cursor

Clickhouse Dataops: common questions

Is Clickhouse Dataops MCP server safe?
With care: it is graded C, so read the findings first (66/100). Read the Clickhouse Dataops safety report
How do I install Clickhouse Dataops?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Clickhouse Dataops need an API key?
Yes. The registry entry asks for CLICKHOUSE_PASSWORD.
Is Clickhouse Dataops maintained?
The last commit was 228 days ago (2026-03-19). The latest release is v0.1.1.
What can I use instead of Clickhouse Dataops?
Servers from other publishers that do the same job: ClickHouse MCP server, Sling CLI MCP server and Greptimedb MCP server.
How does Clickhouse Dataops compare with other Databases MCP servers?
safety score 66/100 (higher than 18% of 802 Databases servers); tools 8 (the typical Databases server has 8); tools that change things 25% (typical: 10%. Fewer write tools means less an agent can break). Full comparison.

Alternatives to Clickhouse Dataops

Same job from other publishers: the closest match first, then the best rated.

  • ClickHouse
    Official ClickHouse MCP server for querying and exploring ClickHouse clusters and chDB.
    A
  • Sling CLI
    Sling CLI MCP server for querying any database, running data pipelines and managing replications
    B
  • Greptimedb
    Query GreptimeDB metrics, logs and traces with SQL, TQL and RANGE. Manage pipelines and dashboards.
    A

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