Comparison

Kafka Schema Registry vs DBHawk

DBHawk is no longer listed on any marketplace we read: these are its last known data, as of 2026‑10‑15.

Kafka Schema Registry is an MCP server published by aywengo. Marketplaces we read that list it: 1 (Docker MCP Catalog). DBHawk is a plugin bundle for AI coding tools published by Datasparc. No marketplace we read lists it any more. As of our marketplace pass on 2026-10-26. A plugin in this pair is no longer listed on any marketplace we read, so search engines are asked not to index the page.

Where each is published

Where each is published
Marketplace	Kafka Schema Registry	DBHawk
Docker MCP Catalog	Listed Version: sha256:f78d0b6ef818 Forks (GitHub): 9 Stars (GitHub): 32 Not marked · First seen 2026-10-11	Not listed
Community marketplace datasparc/dbhawk-mcp-plugin	Not listed	Removed on 2026-10-15 Version: 0.4.1 Forks (GitHub): 0 Stars (GitHub): 0 Not marked · First seen 2026-10-13

Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.

The facts side by side

Kafka Schema Registry vs DBHawk
Fact	Kafka Schema Registry	DBHawkno longer listed · 2026-10-15
Marketplaces that list it (differs)	1	0
Stars (GitHub) (differs)	32	0
Forks (GitHub) (differs)	9	0
Last release (differs)	2026-10-25	Not published
Where it runs (differs)	On your machine (aywengo/kafka-schema-reg-mcp:stable)	Installs as a plugin bundle
Transport (differs)	stdio	Not stated
Tools it declares (differs)	29	Not published
Environment variables it asks for (differs)	5, secrets among them: 2	3, secrets among them: 1
Parts of the bundle (differs)	Not a bundle	1
Licence (differs)	MIT	Not stated
Repository (differs)	github.com/aywengo/kafka-schema-reg-mcp	github.com/datasparc/dbhawk-mcp-plugin
Changes in the last 7 days (differs)	1	0
First seen (differs)	2026-10-11	2026-10-13

Lines where the two differ have a tinted background and bold values. No value is marked better or worse: a plugin no marketplace lists any more is shown with its last known data, which we do not rank against current figures.

What to use instead of DBHawk

Plugins still listed whose own names, descriptions, tools and skills are closest in meaning to it. Comparable, not endorsed.

dbhawk com.datasparc/dbhawk

Secure access to DBHawk datasources: browse schemas, run governed queries, DBHawk AI text-to-SQL.

by datasparc.com · MCP server

Listed on: Official MCP Registry · Describes nearly the same job
AI for Database

Ask your databases questions in plain English, run read-only SQL and set up data alerts.

by aifordatabase.com · MCP server

Listed on: Official MCP Registry · Describes nearly the same job
Dataassist-IO io.github.DataAssistIO/Dataassist-IO

Query your org's data in natural language — read-only MCP access to SQL, NoSQL, files & warehouses.

by DataAssistIO · MCP server

Listed on: Official MCP Registry · Describes nearly the same job
QueryBear

Safe, read-only Postgres and MySQL access for AI agents. Audit log + column-level controls.

by spencerpauly · MCP server

Listed on: Official MCP Registry · Describes nearly the same job
DBHub

Token-efficient database MCP server for PostgreSQL, MySQL, MariaDB, SQL Server, Oracle, SQLite

by bytebase · MCP server

Listed on: Official MCP Registry, Community GitHub marketplaces · Describes nearly the same job
Databasin

Explore Databasin data, run read-only queries, and manage your support tickets with secure sign-in.

by Databasin-AI · MCP server

Listed on: Official MCP Registry · Describes nearly the same job

Its card, with similar plugins by marketplace

What each says it does

Kafka Schema Registry

In its own words, on Docker MCP Catalog:

Comprehensive MCP server for Kafka Schema Registry operations. Features multi-registry support, schema contexts, migration tools, OAuth authentication, and 57+ tools for complete schema management. Supports SLIM_MODE for optimal performance.

DBHawk

In its own words, on Community GitHub marketplaces:

Read-only DBHawk datasource exploration + HawkAI over the /api/v2/mcp API.

How to run each

Kafka Schema Registry As a local MCP server: Docker image

Claude Code

claude mcp add --env "SCHEMA_REGISTRY_PASSWORD=<YOUR_SCHEMA_REGISTRY_PASSWORD>" --env "SCHEMA_REGISTRY_USER=<YOUR_SCHEMA_REGISTRY_USER>" --transport stdio kafka-schema-reg-mcp -- docker run -i --rm -e SCHEMA_REGISTRY_PASSWORD -e SCHEMA_REGISTRY_USER aywengo/kafka-schema-reg-mcp:stable

Requires: SCHEMA_REGISTRY_PASSWORD (secret), SCHEMA_REGISTRY_USER (secret)

DBHawk

No data for an automatic command: what its marketplaces declare does not say unambiguously how to connect it.

Commands built only from what the marketplaces declare; the full set for every client is on each card.

Tools each declares

The marketplaces of DBHawk publish no list of tools, so we do not compare tools.

Settings each asks for

Only Kafka Schema Registry asks for

SCHEMA_REGISTRY_PASSWORD (secret)
SCHEMA_REGISTRY_URL
SCHEMA_REGISTRY_USER (secret)
SLIM_MODE
VIEWONLY

Only DBHawk asks for

DBHAWK_BASE_URL
DBHAWK_DEFAULT_DATASOURCE
DBHAWK_TOKEN (secret)

Settings as each marketplace publishes them. Asking for fewer is not better in itself.

What it can do: Kafka Schema Registry · What it can do: DBHawk · Compare two other plugins

Data comes from the Docker MCP Catalog (desktop.docker.com/mcp/catalog) and Docker Hub. Data comes from public marketplace files in GitHub repositories of their authors. Figures come from our own regular passes over the marketplaces, last read on 2026-10-26. We publish no contact details for plugin publishers.