MCP ClickHouse Tool
A read-only Model Context Protocol (MCP) server for ClickHouse. Beyond parameterized SELECT queries it exposes EXPLAIN analysis for plan, pipeline and syntax, so an agent can work out why a query is slow instead of only running it, and a snapshot mode that spills large results to a CSV resource instead of flooding the context. Profile-based configuration serves multiple clusters from one deployment.
Read-only is enforced by the engine, not by SQL text matching: every client carries ClickHouse's readonly=1, so writes, external table functions and query-level SETTINGS are refused by the server being queried. There is no write tool to opt into.
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 main.py
Configuration
All settings use the MCP_CLICKHOUSE prefix. Flat environment variables (e.g. MCP_CLICKHOUSE_DSN) are the straightforward way to configure the default profile when you have a single connection. For multiple profiles, the user-scoped config.json file is recommended.
Single connection: Configure via environment variables.
# Connection DSN (required).
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 max rows per interactive query (default 500; hard ceiling 1000).
export MCP_CLICKHOUSE_QUERY_MAX_ROWS="500"
# Optional interactive query timeout in seconds (default 30; hard ceiling 300).
export MCP_CLICKHOUSE_QUERY_COMMAND_TIMEOUT_SECONDS="30"
# Optional max rows for snapshot queries (default 10000; hard ceiling 50000).
export MCP_CLICKHOUSE_SNAPSHOT_MAX_ROWS="10000"
# Optional snapshot query timeout in seconds (default 120; hard ceiling 300).
export MCP_CLICKHOUSE_SNAPSHOT_COMMAND_TIMEOUT_SECONDS="120"
Multiple connections: Use the user-scoped config.json file (recommended). Env vars also work via the MCP_CLICKHOUSE_PROFILES_<NAME>_ prefix (e.g. MCP_CLICKHOUSE_PROFILES_WAREHOUSE_DSN).
- Unix-like:
~/.config/mcp-clickhousex/config.json - Windows:
%USERPROFILE%\.config\mcp-clickhousex\config.json
Example (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"
}
}
}
Values above a hard ceiling are clamped to it at startup.
Special characters in credentials: A DSN is a URL, so 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
| Tool | Description | Key params |
|---|---|---|
list_profiles |
List configured connection profiles. Call first when picking a non-default profile. | — |
run_query |
Execute read-only SELECT (CTEs allowed), one statement per call. 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). |
sql, parameters, database, profile, snapshot |
run_show |
Execute one SHOW statement — chiefly SHOW CREATE TABLE/VIEW/DICTIONARY for DDL a listing cannot give you: codecs, TTLs, the full column list. No INTO OUTFILE. |
sql, parameters, database, profile |
analyze_query |
EXPLAIN a read-only SELECT; returns plan, pipeline or syntax, no result rows. |
sql, parameters, database, profile, types |
types—EXPLAINvariants:plan(indexes),pipeline,syntax. Defaults toplanandpipeline.parameters— Named parameters for driver placeholders,%(name)sor{name:Type}.database— Session default database for unqualified names; otherwise qualify asdb.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.
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
| URI | Description |
|---|---|
chx://profiles |
List configured connection profiles (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, andINTO OUTFILEis 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 and run_show a single SHOW, 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). 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:8123/default"
}
}
}
}
Codex, OpenCode and GitHub Copilot
Codex (TOML):
[mcp_servers.clickhouse]
command = "uvx"
args = ["mcp-clickhousex"]
[mcp_servers.clickhouse.env]
MCP_CLICKHOUSE_DSN = "http://default:@localhost:8123/default"
OpenCode:
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"clickhouse": {
"type": "local",
"enabled": true,
"command": ["uvx", "mcp-clickhousex"],
"environment": {
"MCP_CLICKHOUSE_DSN": "http://default:@localhost:8123/default"
}
}
}
}
GitHub Copilot:
{
"inputs": [],
"servers": {
"clickhouse": {
"type": "stdio",
"command": "uvx",
"args": ["mcp-clickhousex"],
"env": {
"MCP_CLICKHOUSE_DSN": "http://default:@localhost:8123/default"
}
}
}
}
Tests
Tests require a running ClickHouse instance; the suite creates a sample table in the default database, seeds it, and drops it after.
uv run pytest tests/ -v
The harness locates the instance through MCP_TEST_CLICKHOUSE_DSN, falling back to http://admin:password123@localhost:8123/default. Set it to point tests at another server without touching your production MCP_CLICKHOUSE_DSN.
Contributing
Open issues or PRs; follow existing style and add tests where appropriate.
License
Release files for mcp-clickhousex 0.10.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mcp_clickhousex-0.10.0.tar.gz | 86.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mcp_clickhousex-0.10.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 104.8 kB
Release files / mcp_clickhousex-0.10.0.tar.gz
| Download URL | mcp_clickhousex-0.10.0.tar.gz |
|---|---|
| Size | 86.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
ad83a9666e0657c9bfe3b3f7ef0a156f0deeb23b61db9ef999cca04024b00682
|
|
BLAKE2b-256 checksum How to use checksums |
14d5ca8215e230908db3023b6629739a79338759d22bee1f0dbce11ffcc77248
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 17, 2026.
Transparency logRelease files / mcp_clickhousex-0.10.0-py3-none-any.whl
| Download URL | mcp_clickhousex-0.10.0-py3-none-any.whl |
|---|---|
| Size | 18.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
349e430fdbc092e1093466271da450cfabfe3ce2ac243b801010984b535b0d33
|
|
BLAKE2b-256 checksum How to use checksums |
6e8f93d35a6257085c4286bc29b1b0139d9ccdb27f91bba2e9644258a90a0de2
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 17, 2026.
Transparency log