"clickhouse" matching MCP servers:

An MCP server for ClickHouse with enhanced filtering for database and table discovery, supporting LIKE/NOT LIKE patterns and both ClickHouse and chDB tools.

Provides AI agents safe, read-only access to a ClickHouse database, enabling table listing, query execution, schema inspection, and caching.

An MCP server implementation that enables Claude AI to interact with Clickhouse databases. Features include secure database connections, query execution, read-only mode support, and multi-query capabilities.

A Model Context Protocol server that enables AI assistants to securely interact with ClickHouse databases, supporting table exploration and SQL query execution through a controlled interface.

Enables connecting to multiple ClickHouse instances via dynamic registration or YAML configuration, supporting SQL queries and data source management through MCP tools.

A Model Context Protocol server that enables Large Language Models to seamlessly interact with ClickHouse databases, supporting resource listing, schema retrieval, and query execution.

A DataOps-focused MCP server for ClickHouse that provides query optimization advice, pipeline latency analysis, and data quality monitoring, with read-only safety.

This read-only MCP server lets AI assistants inspect Apache NiFi, ClickHouse, and Kafka across multiple environments through natural language. It provides health checks, flow and message searches, querying and metadata tools while enforcing OIDC or proxy authentication, per-user auditing, secret masking, and two-lock read-only safeguards.

Read-only MCP server for querying ClickHouse (product telemetry) and Elasticsearch (download analytics), built for Percona VISTA.

Enables AI agents to build ClickHouse dashboards and reports through live schema introspection, a semantic layer, and rendering to Grafana or HTML, adapting to database changes without code updates.

A multi-database MCP server supporting PostgreSQL, ClickHouse, and MySQL that enables database exploration and SQL execution through MCP stdio or HTTP API.

A Model Context Protocol server that provides access to Aiven services (PostgreSQL, Kafka, ClickHouse, Valkey, OpenSearch), enabling LLMs to build full stack solutions by interacting with these services.

Provides access to Aiven's PostgreSQL, Kafka, ClickHouse, Valkey and OpenSearch services, enabling LLMs to build full stack solutions by interacting with the Aiven ecosystem.

Read-only MCP server for FP&A & management reporting — governed metrics, financial statements and drill-down over a SQL semantic layer. Your own financials on your own warehouse, not market data. Open core of Précis. (metric engine · ClickHouse · OIDC · Docker)

MCP server for the OrionBelt Semantic Layer. Enables LLMs to explore governed semantic models, compile YAML metric definitions into optimized SQL across 8 engines (BigQuery, ClickHouse, Databricks, Dremio, DuckDB, MySQL, PostgreSQL, Snowflake), and execute analytics queries via natural language. Works with Claude, Cursor, Windsurf, and Copilot.

MCP-Server from your Database optimized for LLMs and AI-Agents. Supports PostgreSQL, MySQL, ClickHouse, Snowflake, MSSQL, BigQuery, Oracle Database, SQLite, ElasticSearch, DuckDB

Turns existing backend APIs (OpenAPI) and SQL databases (PostgreSQL, MariaDB, ClickHouse) into hosted MCP servers for AI clients, with built-in dashboards, forms, and credential encryption.

Syncs Google Search Console performance data into a local ClickHouse database and exposes prepared SEO analysis tools to AI agents. Enables diagnosing traffic drops, finding striking-distance keywords, detecting cannibalization, auditing indexing, and generating weekly SEO reports through natural language.

Enables deployment and management of GPU workloads across multiple cloud providers (RunPod, Vast.ai) with intelligent GPU selection, resource monitoring, and telemetry tracking through Redis, ClickHouse, and SkyPilot integration.