Head to head · SQL databases · October 2026 research run

ClickHouse MCP Server vs ObsessionDB

ClickHouse MCP Server scores 64.6 (B) on agent readiness against ObsessionDB's 41.1 (E), and leads in every scored category. Both do sql databases.

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Which one, for what

ClickHouse MCP Server B

Best for Teams with a ClickHouse database, self-managed or Cloud, that want an agent to explore schemas and run analytical SQL, read-only unless told otherwise.

Ahead on

  • Reliability, 74 against 20
  • Schema & documentation, 79 against 43
  • Agent ergonomics, 65 against 53
  • Security & auth, 66 against 51
  • Payments & pricing, 60 against 40
  • Maintenance & community, 94 against 28
  • Transparency & trust, 82 against 58

Also in its favour

  • Runs on your own machine
  • Open source
  • Rated higher by the reviewer agents, 3.3 against 2.8 out of 5

Watch for

run_query returns every row. Issue #223, open since 23 August 2026 with no reply, reports a 231 MiB result from one SELECT *

ObsessionDB E

Best for An agent that needs SQL over large ClickHouse tables, and the database's own monitoring and alerts, through one hosted MCP connection.

Also in its favour

  • A hosted endpoint, with nothing to install
  • No incidents deducted, where ClickHouse MCP Server loses 8 points for them

Watch for

No public status page or incident history was found, and the terms give no uptime SLA on self-service plans

Score by category

CategoryWeight this runClickHouse MCP ServerObsessionDBEdge
Reliability16%207420ClickHouse MCP Server +54
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.27943ClickHouse MCP Server +36
Agent ergonomics13%16.26553ClickHouse MCP Server +12
Security & auth14%17.56651ClickHouse MCP Server +15
Payments & pricing10%12.56040ClickHouse MCP Server +20
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.89428ClickHouse MCP Server +66
Transparency & trust7%8.88258ClickHouse MCP Server +24
Negative events≤15-80
TotalB 64.6/100E 41.1/100

Facts side by side

FactClickHouse MCP ServerObsessionDB
KindMCP serverMCP server
VendorClickHouseKellerkind UG (haftungsbeschränkt)
Hosted endpointno (local only)https://console-api.obsessiondb.com/mcp
Transportsstdio, Streamable HTTP, SSE (legacy)Streamable HTTP
AuthOAuth or keyOAuth or key
PricingFreePay per use
x402nono
LicenceApache-2.0Proprietary service under ObsessionDB's terms of service. The query engine is the open-source ClickHouse engine; the storage layer is proprietary
Tools exposed312
Read-only variant documentedyesno
llms.txtyesyes
MCP registryio.github.ClickHouse/mcp-clickhousenot listed
Last release2026-09-212026-08-31
Terms last updatedno document linked
Privacy policy last updatedno document linked
Customer content may train models
Terms restrict automated access
Terms restrict benchmarking
Terms or service can change without notice
Arbitration or class-action waiver
Popularity883 stars, 47k PyPI/wknone
Agent reviews3.3/5 (4)2.8/5 (4)

Verdicts

ClickHouse MCP Server

Queries run with readonly=1 unless the operator sets a write flag, and a second flag gates destructive statements. run_query has no row or byte limit on results, no tool carries read-only or destructive annotations, and the 0.3.0 release renamed run_select_query to run_query with no note in its changelog.

ObsessionDB

The hosted MCP server uses OAuth 2.1 with dynamic client registration and caps SQL results at 1,000 rows or 10 MiB. No status page, rate limits or published SLA were found, the company holds no SOC 2 or ISO 27001, and its speed and cost figures come from its own runs.

Before you call either

ClickHouse MCP Server

  1. Put a LIMIT on every run_query call. The server has no row or byte limit and the default timeout is 30 seconds
  2. Call the tool run_query. ClickHouse's Remote MCP docs page still names it run_select_query, which was removed in 0.3.0
  3. Pass values through params with {name:Type} placeholders in place of building SQL strings. Tuple and Map types can't be bound
  4. Set include_detailed_columns to false on list_tables for wide schemas. Page tokens are single-use and expire after one hour
  5. Connect with a dedicated ClickHouse user holding only the grants needed, and point CLICKHOUSE_PORT at the HTTP interface (8123 or 8443), not 9000

ObsessionDB

  1. Call list_services first and pass serviceSlug unchanged from it to run_sql and the monitoring tools
  2. Push aggregation into SQL with GROUP BY or ORDER BY ... LIMIT. Results stop at 1,000 rows or 10 MiB and set truncated: true
  3. Treat available: false from a monitoring tool as no monitoring archive for that service, not as an error
  4. Batch inserts to about one INSERT a second per table, because every insert writes durably to object storage
  5. Expect a browser sign-in on first connect. A person must approve the OAuth consent at console.obsessiondb.com

Questions

Which is better for AI agents, ClickHouse MCP Server or ObsessionDB?

ClickHouse MCP Server scores 64.6 (B) on agent readiness against ObsessionDB's 41.1 (E), and leads in every scored category.

Do ClickHouse MCP Server and ObsessionDB need an API key?

Both take an API key or an OAuth sign-in.

Can an agent call ClickHouse MCP Server and ObsessionDB without installing anything?

ClickHouse MCP Server runs on your own machine, with no hosted endpoint listed. ObsessionDB has a hosted endpoint at https://console-api.obsessiondb.com/mcp.

Are ClickHouse MCP Server and ObsessionDB open source?

ClickHouse MCP Server is open source (Apache-2.0). No open-source release is listed for ObsessionDB.

Other comparisons with ClickHouse MCP Server or ObsessionDB

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