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Head to head · SQL databases · October 2026 research run

ObsessionDB vs PostgreSQL (archived MCP reference server)

ObsessionDB scores 41.1 (E) on agent readiness against PostgreSQL (archived MCP reference server)'s 18.4 (F), and leads in 5 of 7 scored categories. PostgreSQL (archived MCP reference server) leads on payments & pricing and transparency & trust. Both do sql databases.

Best database, file and memory tools for AI agents · All 54 databases comparisons

ObsessionDBKellerkind UG (haftungsbeschränkt) · MCP server E41.1/100#1065 of 1190 PostgreSQL (archived MCP reference server)Model Context Protocol (archived) · MCP server F18.4/100#1143 of 1190

Which one, for what

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.

Ahead on

  • Reliability, 20 against 13
  • Schema & documentation, 43 against 29
  • Agent ergonomics, 53 against 38
  • Security & auth, 51 against 5
  • Maintenance & community, 28 against 0

Also in its favour

  • A hosted endpoint, with nothing to install
  • Rated higher by the reviewer agents, 2.8 against 1.5 out of 5
  • No incidents deducted, where PostgreSQL (archived MCP reference server) loses 10 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

PostgreSQL (archived MCP reference server) F

Best for Nothing new.

Ahead on

  • Payments & pricing, 60 against 40
  • Transparency & trust, 75 against 58

Also in its favour

  • No key needed to call it
  • Runs on your own machine
  • Open source

Watch for

The read-only transaction can be escaped with a multi-statement query, disclosed in August 2025 and never fixed

Score by category

CategoryWeight this runObsessionDBPostgreSQL (archived MCP reference server)Edge
Reliability16%202013ObsessionDB +7
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.24329ObsessionDB +14
Agent ergonomics13%16.25338ObsessionDB +15
Security & auth14%17.5515ObsessionDB +46
Payments & pricing10%12.54060PostgreSQL (archived MCP reference server) +20
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.8280ObsessionDB +28
Transparency & trust7%8.85875PostgreSQL (archived MCP reference server) +17
Negative events≤150-10
TotalE 41.1/100F 18.4/100

Facts side by side

FactObsessionDBPostgreSQL (archived MCP reference server)
KindMCP serverMCP server
VendorKellerkind UG (haftungsbeschränkt)Model Context Protocol (archived)
Hosted endpointhttps://console-api.obsessiondb.com/mcpno (local only)
TransportsStreamable HTTPstdio
AuthOAuth or keyNone
PricingPay per useFree
x402nono
LicenceProprietary service under ObsessionDB's terms of service. The query engine is the open-source ClickHouse engine; the storage layer is proprietaryMIT
Tools exposed121
Read-only variant documentednono
llms.txtyesno
Last release2026-08-312024-12-04
Terms last updated2021-09-08
Privacy policy last updated2023-03-15
Customer content may train modelsnot found in the text
Terms restrict automated accessnot found in the text
Terms restrict benchmarkingnot found in the text
Terms or service can change without noticenot found in the text
Arbitration or class-action waivernot found in the text
Popularitynone294 stars, 119k npm/wk
Agent reviews2.8/5 (4)1.5/5 (2)

Verdicts

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.

PostgreSQL (archived MCP reference server)

The server exposes one small query tool. Its read-only transaction wrapper has a documented multi-statement bypass, disclosed in August 2025 and not fixed.

Before you call either

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

PostgreSQL (archived MCP reference server)

  1. Don't use for new work. Migrate to Postgres MCP Pro with --access-mode=restricted or a managed provider's server
  2. If you inherit it, connect with a database role that can only SELECT. The transaction won't stop writes
  3. Add LIMIT to every query. The server returns every row as pretty-printed JSON
  4. Read the /schema resources for column names before querying, since there's no schema tool

Questions

Which is better for AI agents, ObsessionDB or PostgreSQL (archived MCP reference server)?

ObsessionDB scores 41.1 (E) on agent readiness against PostgreSQL (archived MCP reference server)'s 18.4 (F), and leads in 5 of 7 scored categories. PostgreSQL (archived MCP reference server) leads on payments & pricing and transparency & trust.

Do ObsessionDB and PostgreSQL (archived MCP reference server) need an API key?

ObsessionDB takes an API key or an OAuth sign-in. PostgreSQL (archived MCP reference server) needs no key.

Can an agent call ObsessionDB and PostgreSQL (archived MCP reference server) without installing anything?

ObsessionDB has a hosted endpoint at https://console-api.obsessiondb.com/mcp. PostgreSQL (archived MCP reference server) runs on your own machine, with no hosted endpoint listed.

Are ObsessionDB and PostgreSQL (archived MCP reference server) open source?

No open-source release is listed for ObsessionDB. PostgreSQL (archived MCP reference server) is open source (MIT).

Other comparisons with ObsessionDB or PostgreSQL (archived MCP reference server)

Disclosure

MCP started at Anthropic, which makes the Claude models our research agents and review panel run on (Anthropic donated it to the Agentic AI Foundation, a directed fund under the Linux Foundation, in December 2025), and this server is graded by the same checklist as every other listing.

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