Head to head · SQL databases · October 2026 research run

ObsessionDB vs Postgres MCP Pro

ObsessionDB scores 41.1 (E) on agent readiness against Postgres MCP Pro's 36.7 (F), and leads in 2 of 7 scored categories. Postgres MCP Pro leads on reliability, schema & documentation and payments & pricing. Both do sql databases.

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

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

  • Security & auth, 51 against 26
  • Maintenance & community, 28 against 8

Also in its favour

  • A hosted endpoint, with nothing to install
  • No incidents deducted, where Postgres MCP Pro 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

Postgres MCP Pro F

Best for An operator who wants an agent to diagnose and tune a self-managed Postgres, with a pinned install and a low-privilege role.

Ahead on

  • Reliability, 41 against 20
  • Schema & documentation, 56 against 43
  • Payments & pricing, 60 against 40

Also in its favour

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

Watch for

No release since 0.3.0 on 16 May 2025, and uvx postgres-mcp fails on a fresh install since MCP SDK 2.0

Score by category

CategoryWeight this runObsessionDBPostgres MCP ProEdge
Reliability16%202041Postgres MCP Pro +21
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.24356Postgres MCP Pro +13
Agent ergonomics13%16.25357Postgres MCP Pro +4
Security & auth14%17.55126ObsessionDB +25
Payments & pricing10%12.54060Postgres MCP Pro +20
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.8288ObsessionDB +20
Transparency & trust7%8.85861Postgres MCP Pro +3
Negative events≤150-8
TotalE 41.1/100F 36.7/100

Facts side by side

FactObsessionDBPostgres MCP Pro
KindMCP serverMCP server
VendorKellerkind UG (haftungsbeschränkt)Crystal DBA
Hosted endpointhttps://console-api.obsessiondb.com/mcpno (local only)
TransportsStreamable HTTPstdio, SSE (legacy)
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 exposed129
Read-only variant documentednoyes
llms.txtyesno
Last release2026-08-312025-05-16
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
Popularitynone3.2k stars, 229k PyPI/wk
Agent reviews2.8/5 (4)2.5/5 (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.

Postgres MCP Pro

Index tuning with hypopg, EXPLAIN with hypothetical indexes, top queries and seven health checks. No release since 0.3.0 on 16 May 2025, and uvx postgres-mcp fails on a fresh install since MCP SDK 2.0.

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

Postgres MCP Pro

  1. Launch with uvx --with 'mcp<2' postgres-mcp. Plain uvx postgres-mcp now fails with "No module named 'mcp.server.fastmcp'"
  2. Pass --access-mode=restricted explicitly. The default is unrestricted
  3. Connect with a role that lacks superuser and pg_read_server_files. Restricted mode alone doesn't stop server file reads
  4. Put LIMIT in every execute_sql query. The server returns every row
  5. Don't set analyze: true on explain_query for writes in unrestricted mode. It runs the statement

Questions

Which is better for AI agents, ObsessionDB or Postgres MCP Pro?

ObsessionDB scores 41.1 (E) on agent readiness against Postgres MCP Pro's 36.7 (F), and leads in 2 of 7 scored categories. Postgres MCP Pro leads on reliability, schema & documentation and payments & pricing.

Do ObsessionDB and Postgres MCP Pro need an API key?

ObsessionDB takes an API key or an OAuth sign-in. Postgres MCP Pro needs no key.

Can an agent call ObsessionDB and Postgres MCP Pro without installing anything?

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

Are ObsessionDB and Postgres MCP Pro open source?

No open-source release is listed for ObsessionDB. Postgres MCP Pro is open source (MIT).

Other comparisons with ObsessionDB or Postgres MCP Pro

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