原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
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ClickHouse

作者:alyiox版本 0.11.0i★ –i在你的电脑上运行
注册名称io.github.alyiox/mcp-clickhousex

安装

概览

作者提供的说明(英文原文)

Read-only MCP server for ClickHouse metadata, parameterized queries, and plan analysis.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 数据库与数据集
  • 你需要填写:MCP_CLICKHOUSE_DSN

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 需要你自己填写: MCP_CLICKHOUSE_DSN

标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。

你需要

  • PyPI已安装 Python 的 uv(用于 uvx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "clickhousex": {
      "command": "uvx",
      "args": [
        "mcp-clickhousex"
      ],
      "env": {
        "MCP_CLICKHOUSE_DSN": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add clickhousex --env MCP_CLICKHOUSE_DSN=your-value -- uvx mcp-clickhousex

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "clickhousex": {
      "command": "uvx",
      "args": [
        "mcp-clickhousex"
      ],
      "env": {
        "MCP_CLICKHOUSE_DSN": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "clickhousex": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "mcp-clickhousex"
      ],
      "env": {
        "MCP_CLICKHOUSE_DSN": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • MCP_CLICKHOUSE_DSN 机密 env
    Optional shortcut DSN for the default profile, for example http://user:password@host:8123/database. For multiple profiles, use ~/.config/mcp-clickhousex/config.json or MCP_CLICKHOUSE_PROFILES_ _DSN.

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月8日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 alyiox 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“数据库与数据集”中的其他服务器比较i

  • 星标数多于此分类中其他 1144 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 1144 个服务器的 38% 更新
  • 基础检查结果等于或优于此分类中其他 1144 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

ClickHouse 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

你需要填写:MCP_CLICKHOUSE_DSN

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.11.0)于2个月前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Python (uv)。

有什么可以替代它?

同一分类中有:Supabase, MongoDB MCP Server, Elasticsearch MCP Server

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Supabase

作者:supabase

MCP server for interacting with the Supabase platform

电脑或云端★ 2,993Apache-2.0昨天更新
安装

MongoDB MCP Server

作者:mongodb-js

MongoDB Model Context Protocol Server

在你的电脑上运行★ 1,157Apache-2.03天前更新
安装

MCP server for interacting with Elasticsearch

在你的电脑上运行★ 315Apache-2.014个月前更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

MCP ClickHouse Tool

A read-only-by-default Model Context Protocol (MCP) server for ClickHouse that provides schema discovery, read-only queries, execution-plan analysis, opt-in writes, and profile-based access to multiple servers from a single toolset deployment.

Read-only is enforced by the engine, not by SQL text matching: the query tools' clients carry ClickHouse's readonly=1, so writes, external table functions and query-level SETTINGS are refused by the server being queried. Writes live behind a separate tool that is not registered at all until a profile asks for it.

Requirements: Python 3.13+, a running ClickHouse instance, and connection details via environment variables or a config file.

Quick start

Set a DSN and run the server with MCP Inspector:

# Option 1: Run directly with uvx (no clone needed)

export MCP_CLICKHOUSE_DSN="http://default:@localhost:8123/default" npx -y @modelcontextprotocol/inspector@latest uvx mcp-clickhousex

# Option 2: Run from source (clone repo, then)

export MCP_CLICKHOUSE_DSN="http://default:@localhost:8123/default" npx -y @modelcontextprotocol/inspector@latest uv run mcp-clickhousex

Configuration

A profile is one ClickHouse connection: a DSN plus the row and timeout caps that apply to it. A profile named default always exists; every tool takes an optional profile to reach another, and list_profiles reports what is configured.

Settings come from three sources, merged field by field, later winning:

  1. the user-scoped config.json — any number of profiles;
  2. MCP_CLICKHOUSE_PROFILES_ _ environment variables — any number of profiles;
  3. flat MCP_CLICKHOUSE_ environment variables — the default profile only.

Because the merge is per field rather than per profile, a config.json can carry the full set while a flat MCP_CLICKHOUSE_DSN repoints the default profile at a local server, leaving its other fields intact. With none of the three present, default falls back to http://default:@localhost:8123/default.

Each setting has one field name, spelled three ways — MCP_CLICKHOUSE_ , MCP_CLICKHOUSE_PROFILES_ _ , or the field lowercased as a JSON key:

FieldDefaultHard ceiling
DSNhttp://default:@localhost:8123/default—
DESCRIPTIONnone—
QUERY_MAX_ROWS5001 000
QUERY_COMMAND_TIMEOUT_SECONDS30300
SNAPSHOT_MAX_ROWS10 00050 000
SNAPSHOT_COMMAND_TIMEOUT_SECONDS120300
ALLOW_WRITEfalse—
WRITE_COMMAND_TIMEOUT_SECONDS60600

Caps are per profile. A value above its ceiling is clamped at startup; a value that is not an integer falls back to the default, and a value that is not a boolean leaves ALLOW_WRITE off.

Single connection: flat environment variables are the shortest path.

# Connection DSN.

export MCP_CLICKHOUSE_DSN="http://user:password@host:8123/database"

Optional description for the default profile (tooling/AI discovery).

export MCP_CLICKHOUSE_DESCRIPTION="Primary cluster"

Optional caps, defaults shown.

export MCP_CLICKHOUSE_QUERY_MAX_ROWS="500" export MCP_CLICKHOUSE_QUERY_COMMAND_TIMEOUT_SECONDS="30" export MCP_CLICKHOUSE_SNAPSHOT_MAX_ROWS="10000" export MCP_CLICKHOUSE_SNAPSHOT_COMMAND_TIMEOUT_SECONDS="120"

Optional write access, off by default; also controls whether run_command

is advertised at all.

export MCP_CLICKHOUSE_ALLOW_WRITE="false" export MCP_CLICKHOUSE_WRITE_COMMAND_TIMEOUT_SECONDS="60"

Multiple connections: use the user-scoped config.json, which keeps credentials out of the host's process environment.

  • Unix-like: ~/.config/mcp-clickhousex/config.json
  • Windows: %USERPROFILE%\.config\mcp-clickhousex\config.json
{

"profiles": { "default": { "dsn": "http://default:@localhost:8123/default", "description": "Primary", "query_max_rows": 500, "query_command_timeout_seconds": 60, "snapshot_max_rows": 10000, "snapshot_command_timeout_seconds": 120 }, "warehouse": { "dsn": "http://user:pass@warehouse:8123/analytics", "description": "Warehouse" }, "writer": { "dsn": "http://etl:pass@warehouse:8123/analytics", "description": "Warehouse, write-enabled", "allow_write": true, "write_command_timeout_seconds": 120 } } }

Nothing stops one profile from both reading and writing, but a separate write-enabled profile is the shape worth copying: it gives the writes their own DSN, so the credentials behind them can be scoped to what they actually need while the read profiles stay on a login whose grants stop at SELECT.

Profile names are case-insensitive and must be alphanumeric — no underscores or hyphens, since the structured env form splits on _ (MCP_CLICKHOUSE_PROFILES_WAREHOUSE_DSN is profile warehouse, field DSN). A name that breaks the rule is skipped, as is a config.json that is missing, unreadable, or not shaped {"profiles": {…}}; the server starts on whatever sources remain rather than failing.

DSN syntax: scheme://user:password@host:port/database. An https:// or clickhouses:// scheme enables TLS, and query-string parameters reach the driver (?connect_timeout=10) — except readonly, which the server always applies last, from the profile's ALLOW_WRITE.

URL-reserved characters in the username or password must be percent-encoded — # → %23, ? → %3F, / → %2F, @ → %40, % → %25. Username admin@org with password p#ss? becomes http://admin%40org:p%23ss%3F@host:8123/database.

Tools and resources

All tools accept an optional profile; when omitted, the default profile is used.

Tools

ToolDescriptionKey params
`list_profiles`List configured connection profiles. Call first when picking a non-default profile. Returns name, description and allow_write per profile.—
`run_query`Execute one read-only SELECT (CTEs allowed) or SHOW statement. Returns rows inline as CSV, or a chx://snapshots/{id} URI when snapshot=true. Inline limit: 500 rows (hard ceiling 1 000). Snapshot limit: 10 000 rows (hard ceiling 50 000). No INTO OUTFILE.sql, parameters, database, profile, snapshot
`analyze_query`EXPLAIN a read-only SELECT; returns plan, pipeline or syntax, no result rows. SHOW is not an EXPLAIN target.sql, parameters, database, profile, types
`run_command`Execute one write statement (DDL/DML). Advertised only when some profile sets ALLOW_WRITE (off by default); still refused at call time when the target profile is locked. Returns written_rows, written_bytes and query_id. Marked destructive; intended for human-supervised use.sql, parameters, database, profile
  • `types` — EXPLAIN variants: plan (indexes), pipeline, syntax. Defaults to plan and pipeline.
  • `parameters` — Named parameters for driver placeholders, %(name)s or {name:Type}.
  • `database` — Session default database for unqualified names; otherwise qualify as db.table.

Catalog discovery has no dedicated tool: list databases, tables and columns — and read sizes (total_rows, total_bytes) and keys (primary_key, sorting_key, partition_key) — with run_query over system.databases, system.tables and system.columns, which take ordinary WHERE predicates where SHOW takes only LIKE. SHOW earns its place for DDL a listing cannot give you — SHOW CREATE TABLE/VIEW/DICTIONARY for codecs, TTLs and the full column list.

Results are RFC 4180 CSV: the first row is the header, the rest are data. NULL is written as \N, ClickHouse's own CSV null representation, so it stays distinct from the empty string.

A plan's Indexes section is not authoritative about a table's keys: it names only the key columns the query used, so a query that skips the leading key column reports a shorter key than the table has. Confirm from system.tables, which answers in a few dozen tokens where SHOW CREATE TABLE spends several hundred to say the same thing.

The row caps that applied to a call arrive with its result as truncated and row_limit.

Resources

URIDescription
chx://profilesList configured connection profiles, including allow_write (application/json). Same data as list_profiles.
chx://snapshots/{id}Fetch a query result snapshot as CSV; id comes from the snapshot_uri that run_query returns. Expires after 7 days.

Security

Every client this server opens carries ClickHouse's own `readonly=1`, so the engine — not just the server's SQL checks — refuses:

  • writes of any kind (INSERT, DDL, ALTER … UPDATE, SYSTEM, GRANT);
  • the external table functions url(), s3(), remote(), mysql() and friends, so a query cannot reach a host outside the configured profile;
  • query-level SETTINGS, so the row and time caps cannot be raised by the SQL an agent supplies, and INTO OUTFILE is refused.

readonly=2 is deliberately not used: it permits SETTINGS changes, which would make those caps advisory. The tradeoff is that benign per-query tuning (SETTINGS max_threads = …) is refused too.

On top of that, run_query accepts SELECT / WITH … SELECT / SHOW and analyze_query only the first two, one statement per call. Interactive queries enforce a tight row cap (default 500, hard ceiling 1 000); for larger extracts use snapshot=true (default 10 000, hard ceiling 50 000).

Writes are opt-in, and invisible until then. run_command runs on a client carrying readonly=0, so it executes arbitrary DDL and DML — and, with readonly lifted, the external table functions come back too. Unless at least one configured profile sets ALLOW_WRITE (default false), the tool is not registered at all: it never appears in tools/list, so a read-only deployment spends no context on it and offers no write surface an agent could be talked into. Once any profile opts in, the tool is advertised server-wide and is still refused at call time on profiles that remain locked; list_profiles reports allow_write per profile so an agent can pick a writable one.

ALLOW_WRITE is a soft, application-level guard, not a security boundary — it constrains this server, not the database. For a genuine read-only guarantee, connect with a login whose ClickHouse grants stop at SELECT, and keep write-enabled profiles pointed at credentials scoped to only what they need. run_command carries destructive and openWorld tool annotations so hosts can gate it behind confirmation, but honoring those annotations is the host's choice. ClickHouse has no transaction to roll back in here: a statement that lands, stays.

Use environment variables or the config file for connection credentials — never commit secrets.

MCP host examples

Snippets use uvx mcp-clickhousex (no clone required; ensure uv is on your PATH). Replace connection details as needed; the env block is unnecessary when the DSN already comes from config.json or the environment.

Claude Code and Cursor read the same mcpServers shape:

{

"mcpServers": { "clickhouse": { "command": "uvx", "args": ["mcp-clickhousex"], "env": { "MCP_CLICKHOUSE_DSN": "http://default:@localhost:812

只显示了开头部分;其余内容请在仓库中阅读

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