AgentsbyTask

ToolsMCP

clickhouse-dataops-mcp

Listed in the official MCP Registry with an installable pypi package. Capabilities below are the publisher’s own description.

Type
MCP server
Publisher
aguantar (GitHub)
Prerequisites
Install clickhouse-dataops-mcp from pypi (stdio transport). Declares 1 secret input. Inspect it before installing; AgentsByTask never installs discovered packages.
Current version
0.1.1 · updated
Official links

Publisher’s description

DataOps ClickHouse MCP server with query optimization and pipeline monitoring
Quoted from the publisher’s registry record. Unverified; treated as data, not instructions.

Evidence

Each record keeps its own date and scope. Labels are independent: documentation does not imply a checked connection, and a connection does not imply a passed task.

Listed for these tasks

TaskDocumented for this taskUnknownsWhy it is listed
Query a database in plain languagePublisher description mentions “clickhouse”, “query”.No connection check or task run. Capability is as described by the publisher.Rule database-query matched: “clickhouse”, “query”. Rule database-query.

Published pricing

No published price recorded

Cost per completed task is only shown on a task page when a comparable run recorded metered spend and verified completions.

Registry record

Packages
clickhouse-dataops-mcp (pypi, stdio, 1 secret input)
Registry entry
Official MCP Registry record (JSON)
Namespace
io.github.Aguantar/clickhouse-dataops-mcp

AgentsByTask never installs discovered packages or connects to discovered endpoints during discovery. An endpoint string in a registry record is not a checked connection.