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Health: ActiveRecent health check succeeded.Last checked 9/9/2026, 1:31:53 PM

Kafka Schema Reg MCP

User RatingsBe the first to rate and review this MCP server!
View Repository32 GitHub StarsTotal stargazers on GitHub for the source repository (32 stars).Visit Website
kafkaschema-registrymcpdeveloper-tools

Manage Kafka Schema Registry schemas, contexts, compatibility checks, exports, and multi-registry workflows through MCP.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet β€” we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself β€” its README, its docs, or a verified owner. We haven’t found those for aywengo/kafka-schema-reg-mcp, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Tool Schemas (6) Directory Badge Claim listing AlternativesπŸ“Š More in Data Platforms

Overview

aywengo/kafka-schema-reg-mcp MCP server exposes Kafka Schema Registry operations to Claude Desktop and other MCP clients over JSON-RPC on stdio. It supports schema registration, compatibility checks, context management, schema and subject exports, and broader multi-registry administration. Configure one registry with SCHEMA_REGISTRY_URL or manage up to eight registries using numbered environment variables. Reach for it when an agent needs to inspect or change Schema Registry data, enforce read-only safeguards, or reduce available tools with SLIM_MODE.

Use cases

β€’Register new Kafka schemas
β€’Check schema compatibility before evolution
β€’Create and isolate registry contexts
β€’Export schemas for backup or documentation
β€’Manage development and production registries

Key features

β€’Schema registration and compatibility checks
β€’Multi-registry management for up to eight instances
β€’Schema context support
β€’JSON and Avro IDL exports
β€’VIEWONLY and SLIM_MODE controls
β€’MCP stdio support for Claude Desktop

Capabilities & Tool Schemas (6) ~53 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server β€” may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Kafka Schema Reg MCP.

ping

Server health check

register_schema

Register new schemas

check_compatibility

Schema compatibility checking

create_context

Create new contexts

export_schema

Export single schema

export_subject

Export all subject versions

How Kafka Schema Reg MCP works

What aywengo/kafka-schema-reg-mcp MCP server does

aywengo/kafka-schema-reg-mcp MCP server connects MCP clients to Kafka Schema Registry operations. Its tool set includes a health check, schema registration, compatibility validation, context creation, single-schema export, and export of all versions for a subject. The README also describes broader capabilities for multi-registry management, schema migration, context-aware administration, and export workflows.

Schema contexts provide logical separation for environments such as development, staging, and production. The server can work with as many as eight registry instances, allowing an agent to operate across environments from one MCP connection. Read-only protection is available through VIEWONLY settings, including separate controls for configured registries.

How it works

The server implements MCP with FastMCP and communicates with clients through JSON-RPC over stdio. Claude Desktop is explicitly supported, and the README states that other MCP clients using the same transport can connect as well. MCP tool calls are translated into requests against the configured Kafka Schema Registry endpoint.

A single-registry deployment uses SCHEMA_REGISTRY_URL. Multi-registry deployments use numbered variables such as SCHEMA_REGISTRY_NAME_1 and SCHEMA_REGISTRY_URL_1, with corresponding per-registry VIEWONLY settings. SLIM_MODE reduces the exposed tool set to an essential subset, which is intended to lower tool overhead for clients and is described as suitable for read-only production operations.

Setup and configuration

The documented deployment options are Docker, a local Python checkout, and Docker Compose. The Docker image is aywengo/kafka-schema-reg-mcp:stable. A basic container run supplies the registry URL, while adding SLIM_MODE=true enables the reduced tool set. Local execution requires Python 3.10 or newer, installation from requirements.txt, and execution of kafka_schema_registry_unified_mcp.py.

The registry username and password variables are optional in the single-registry example. The README also describes OAuth 2.1 authentication with scope-based permissions, but the supplied configuration excerpt does not define the complete OAuth variable set. Prebuilt Claude Desktop configuration examples are provided in the repository for stable Docker and multi-environment setups.

Tools and capabilities

The aywengo/kafka-schema-reg-mcp MCP server exposes capabilities for:

  • Checking server health with ping.
  • Registering schemas with register_schema.
  • Testing compatibility with check_compatibility.
  • Creating registry contexts with create_context.
  • Exporting one schema with export_schema.
  • Exporting every version for a subject with export_subject.
  • Managing multiple registry instances and schema contexts.
  • Supporting schema migration workflows with backup and verification as described in the README.

Exports are documented as supporting JSON and Avro IDL formats. The project also describes asynchronous operations with progress tracking and cancellation, plus linked navigation in tool responses.

Limitations and notes

The server requires access to a Kafka Schema Registry endpoint; the supplied Docker examples use http://localhost:8081. Registry connectivity, credentials, and permissions must therefore be available to the process. VIEWONLY should be enabled where write protection is required.

The README presents both a 50-plus-tool full mode and a reduced SLIM_MODE, while the listing identifies representative tools rather than a complete inventory. The provided material does not specify every tool name, the full authentication variable set, or detailed request and response schemas. Docker Compose is described as including a Schema Registry for testing, not as a hosted service.

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
32
Stargazers on the source repository.
Last commit
4d ago
Most recent push to the default branch.
Tools exposed
6
Callable tools this server registers over MCP.
Directory activity
3 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about Kafka Schema Reg MCP

Run the documented Docker image, install the Python requirements after cloning the repository, or use Docker Compose. The Docker image is aywengo/kafka-schema-reg-mcp:stable.

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Technical Specs & Signals

CategoryπŸ“ŠData Platforms
PricingFree
More technical detailsExpand β–Ύ
AuthOther
LicenseMIT
ClientsClaude Desktop
Last updatedSep 7, 2026
10/10 checks healthy over the last 31d
Views3
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars32
GitHub Star CountTotal stargazers on GitHub representing community popularity (32 stars).
Last commit4d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Sep 7, 2026
52Quality signal: Good Β· 52/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools22/30
Adoption & activity7/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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