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Kafka Enterprise Server

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Reference implementation of KIP-1318, a secure Model Context Protocol server for Apache Kafka that enables AI agents to interact with Kafka clusters through gov

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Описание

Reference implementation of KIP-1318, a secure Model Context Protocol server for Apache Kafka that enables AI agents to interact with Kafka clusters through governed tools and resources.

README

PyPI Python License

Scope: This is a stdio, in-memory conformance reference for the KIP-1318 security control model. Real brokers, Streamable HTTP, OAuth 2.1, EOS/fencing, Connect tooling, distributed rate/breaker state, and durable audit topics are specified in the KIP (Java production track under KAFKA-20436) and are not implemented here. Full matrix: doc/kip-alignment.md.

Implemented vs Spec-only

Area This reference KIP / Java track
Transport stdio only stdio + Streamable HTTP + OAuth
Backend In-memory Kafka Real Admin / Producer / Consumer
Tools 13 registered ~30+ (incl. Connect, EOS, group admin)
Resources subset + Phase-1 lag/offsets ~20 kafka:// URIs
Rate / quarantine per-process optional distributed backend
Audit in-memory hash chain durable audit topic
Default allow-list read/consume only (SECURE_DEFAULT_TOOLS) same secure-by-default posture
Conformance 302/302 checks KIP test plan

Website

Site https://vaquarkhan.github.io/kafka-mcp-enterprise-server/
Source site/ (index.html + local site/assets/site.css)
Deploy .github/workflows/pages.yml publishes site/ on push to main

PyPI

pip install kafka-mcp-enterprise
echo {"jsonrpc":"2.0","id":1,"method":"tools/list"} | kafka-mcp-enterprise
Package kafka-mcp-enterprise
CLI kafka-mcp-enterprise
Import import kafka_mcp
Optional pip install kafka-mcp-enterprise[otel]
Publish Tag v*.github/workflows/publish.yml (Trusted Publishing / OIDC - see doc/publishing.md)

Agents & skills (Cursor, Kiro, ChatGPT, Gemini, Copilot, …)

AGENTS.md AGENTS.md - canonical instructions for every coding agent
Skills .cursor/skills/ (Cursor) · skills/ (portable)
Guide doc/agents-and-skills.md - how to load in each IDE

Python conformance reference for KIP-1318: a Model Context Protocol (MCP) control plane for agent access to Kafka. The KIP's production target is Java. This package validates the fail-closed security model over stdio against an in-memory backend - it is not a drop-in for the forthcoming first-party Java MCP server.

KIP KIP-1318: MCP Server for Apache Kafka
Jira KAFKA-20436 - Implement KIP-1318
Discuss [DISCUSS] KIP-1318 on [email protected]
This repo Stdlib Python reference / conformance server (teaching, demos, security validation)
KIP production target Java module (tools/mcp-server) wrapping native Kafka clients - see the KIP

Scope clarity: The Apache Kafka project tracks the official implementation under KAFKA-20436. This repository is an independent, zero-dependency reference that encodes the enterprise control plane, error model, and conformance tests so designs can be validated before or alongside the Java work. It is not a drop-in replacement for the forthcoming first-party Java MCP server.


Why this exists

AI agents need governed Kafka access-not ad-hoc scripts, unbounded consumes, or shared "god" principals. KIP-1318 proposes a standalone MCP process (stdio / HTTP in the spec) that exposes tools and kafka:// resources without changing the Kafka wire protocol. This reference implements the fail-closed security control plane over stdio against an in-memory backend (see matrix above).

Broker ACLs remain authoritative. Guardrails here complement them; they never replace them.

What’s included

Kafka MCP Enterprise - what’s included

Documentation product image (not a web UI). Checklist of what this Python stdio reference implements: fail-closed pipeline, DLP, 13 tools, kafka:// resources, tests, and examples.

How it runs

flowchart LR
  Agent["Agent / IDE"]
  MCP["kafka-mcp-enterprise<br/>stdio JSON-RPC + pipeline"]
  Mem["InMemoryKafka<br/>conformance backend"]
  Agent -->|"MCP tools/call"| MCP
  MCP -->|"tools / resources"| Mem

This repo: Python stdlib reference (in-memory Kafka for tests). KIP production track: Java wrapping real Admin/Producer/Consumer (KAFKA-20436), not shipped here.

Fail-closed pipeline (overview)

flowchart TB
  A["1 Auth"] --> B["2 Deny-list"] --> C["3 Allow / readonly"]
  C --> D["4 Scope"] --> E["5 Policy"] --> F["6 Taint / IFC"]
  F --> G["7 Approval"] --> H["8 Rate limit"] --> I["9 Breaker execute"]

Full detail: doc/security-controls.md · architecture: doc/architecture.md.


Complete features, security controls & guardrails

Nothing below is optional marketing - every item is implemented in kafka_mcp/ and covered by the 302/302 conformance suite and/or demos/examples unless noted as a documented reference gap.

A. MCP protocol & surface

Feature Detail
JSON-RPC 2.0 Strict jsonrpc: "2.0" request/response
initialize protocolVersion, serverInfo, capabilities
tools/list Visible tools honor deny-list, allow-list, and readonly
tools/call Full fail-closed pipeline + handler
resources/list Catalog of kafka:// URIs
resources/read Topic/cluster/group/audit/health reads
stdio transport Newline-delimited JSON (serve_stdio / kafka-mcp-enterprise)
HTTP notes Stateless HTTP design documented; full HTTP listener is a KIP/Java concern
Stateless approvals HMAC tokens self-contained (no sticky session required for authz correctness)
Correlation IDs Per-call corr_id on audit entries

B. Tools (13) - classified

Tool kind module Kafka op
list_topics read control_plane DESCRIBE
describe_topic read control_plane DESCRIBE
describe_cluster read control_plane DESCRIBE
list_consumer_groups read control_plane DESCRIBE
describe_consumer_group read control_plane DESCRIBE
consume_messages read data_plane READ
create_topic mutate control_plane CREATE
alter_topic_config mutate control_plane ALTER
produce_message mutate data_plane WRITE
alter_consumer_group_offsets mutate control_plane ALTER
delete_topic destructive control_plane DELETE
delete_consumer_group destructive control_plane DELETE
create_acls destructive control_plane ALTER

Shipped default exposes the six read tools only (SECURE_DEFAULT_TOOLS).

C. Resources (kafka://)

URI Purpose
kafka://topics List topics
kafka://topics/{name} Describe topic
kafka://topics/{name}/offsets Earliest/latest offsets per partition
kafka://cluster Cluster id + brokers
kafka://groups Consumer groups
kafka://groups/{id} Describe a consumer group
kafka://groups/{id}/offsets Committed offsets
kafka://groups/{id}/lag Per-topic/partition lag (KIP Phase 1)
kafka://audit/recent Recent audit entries
kafka://health Liveness + per-module circuit breaker state

D. Fail-closed security pipeline (exact order)

Every tools/call - first denial wins:

Step Control Denial code
1 Bearer auth - audience / issuer validation (off until configured) -32001 UNAUTHORIZED
2 Deny-list (tools_denied) -32044 POLICY_DENIED
3 Allow-list (tools_allowed) + readonly (blocks all non-read, including produce) -32044
4 Topic prefix scope + group prefix scope -32041 SCOPE_VIOLATION
5 Policy engine - callable; deny or exception → fail-closed -32044
6 Taint guard / IFC - destructive tools; optional ifc_strict; approval bypasses -32040 TAINT_VIOLATION
7 Approval gate - HMAC signed TTL token (_approval_token) -32042 APPROVAL_REQUIRED
8 Rate limit - general vs admin/control-plane buckets -32029 RATE_LIMITED
9 Execute via per-module circuit breaker + dependency check -32043 DEPENDENCY_UNAVAILABLE

Pre / around execute (also enforced):

Guardrail Behavior Code
Input validation Identifier charset; max_value_bytes on produce values -32046 VALIDATION_FAILED
Rogue-agent kill-switch Per-identity destructive burst → quarantine -32047 QUARANTINED
Identity propagation Optional per-principal broker ACL check before execute -32044
Sensitive-topic gating Pattern match on consume → requires approval -32042
Egress DLP Block secret categories on produce -32045 SENSITIVE_DATA_BLOCKED
Dry-run tools dryrun_tools returns plan without mutation -
Consume clamp maxMessages capped by hard_max_records -
Byte bounds hard_max_bytes trims consume payload; max_output_bytes truncates scrubbed output truncation tags
Post-execute DLP scrub Redact/scrub whole result tree -
Taint registration Consumed values registered into session taint set -
Audit ALLOW/DENY recorded (params truncated, hash-chained) -

E. Data-protection guardrails (DLP)

Capability Detail
Modes redact | block | off (dlp_mode)
Default block categories private_key, aws_access_key, jwt
Detectors (10) email, ssn, credit_card (Luhn-validated), phone, ipv4, aws_access_key, private_key, jwt, iban, secret_assignment
Consume path Redact PII in records; block-mode can refuse
Produce path Egress scan → -32045
Sensitive configs Mask password/secret-like keys on describe (redact_sensitive_configs)
Scrub all outputs Walk entire JSON result (scrub_all_outputs)
Legacy interceptor interceptor.redact_record kept for compatibility; DLP is primary

F. Approval, taint & IFC

Capability Detail
HMAC approval tokens mint / verify; TTL (default 300s); tool-bound
Forged / expired tokens Rejected → -32042
Default approval-required tools delete_topic, delete_records, create_acls, delete_acls, alter_partition_reassignments, alter_broker_config
Taint guard Best-effort substring match of session tainted values into destructive args
ifc_strict After untrusted read, blocks destructive/control-plane without approval
Honesty Taint is defeatable by laundering; least-privilege broker ACLs are load-bearing

G. Scoping, exposure & identity

Capability Detail
Tool allow-list / deny-list tools_allowed, tools_denied
Secure-by-default guidance Shipped default is read/consume only; expand tools_allowed for mutate/destructive
Readonly mode Disables create/produce/alter/delete/ACLs
Topic prefixes allowed_topic_prefixes
Group prefixes allowed_group_prefixes
Identity propagation identity_propagation + in-memory per-principal ACLs (set_principal_acl / authorize)
Session identity session["identity"] for audit, quarantine, ACL principal

H. Resilience & blast-radius controls

Capability Detail
Circuit breakers Per module: data_plane, control_plane, ecosystem
Breaker isolation Control-plane open does not take down data-plane consume/produce
Dependency failure hook _inject_dependency_failure / _fail_module-32043
Rate limits rate_requests_per_second + rate_admin_requests_per_second
Quarantine max_destructive_per_minute per identity
Health resource Breaker states on kafka://health

I. Consume semantics (Direct Partition Assignment)

Mode Behavior
No groupId assignment=direct, no consumer group, no rebalance
With groupId Classic group path; register offsets; rebalance counter increments

J. Backend surface (in-memory Kafka)

create_topic, delete_topic, list_topics, describe_topic, alter_topic_config, produce, consume, list_groups, describe_group, group_lag, create_acls, list_acls, describe_cluster, principal ACLs, rebalance counter, dependency hooks.

K. Audit

Capability Detail
Ring buffer Recent entries (maxlen=1000)
Hash chaining Tamper-resistant best-effort chain
Param truncation Long params truncated (>64 chars)
Decisions ALLOW / DENY with identity, tool, corr_id
Resource kafka://audit/recent
audit_topic Config name present; durable Kafka mirror is a documented reference gap

L. Error codes (complete - 15)

Code Constant Meaning
-32700 PARSE_ERROR JSON parse error
-32600 INVALID_REQUEST Invalid request
-32601 METHOD_NOT_FOUND Unknown method/tool
-32602 INVALID_PARAMS Invalid params / structured Kafka errors
-32603 INTERNAL_ERROR Internal error
-32001 UNAUTHORIZED Bad/missing bearer
-32029 RATE_LIMITED Rate limited
-32040 TAINT_VIOLATION Tainted value into destructive tool
-32041 SCOPE_VIOLATION Topic/group out of scope
-32042 APPROVAL_REQUIRED Destructive/sensitive needs approval
-32043 DEPENDENCY_UNAVAILABLE Circuit breaker open / dependency down
-32044 POLICY_DENIED Deny/allow/readonly/policy/ACL propagation
-32045 SENSITIVE_DATA_BLOCKED Egress / DLP block
-32046 VALIDATION_FAILED Malformed identifier / oversized value
-32047 QUARANTINED Rogue-agent kill-switch

M. Configuration surface (32 fields)

bootstrap_servers, transport, tools_allowed, tools_denied, readonly, allowed_topic_prefixes, allowed_group_prefixes, taint_guard_enabled, approval_required_tools, dryrun_tools, audit_topic, policy_engine, circuit_breaker_enabled, dependency_timeout_ms, rate_requests_per_second, rate_admin_requests_per_second, oauth_expected_audience, oauth_expected_issuer, approval_signing_secret, redaction_enabled, dlp_mode, dlp_block_categories, scrub_all_outputs, redact_sensitive_configs, sensitive_topic_patterns, max_value_bytes, max_output_bytes, max_destructive_per_minute, ifc_strict, hard_max_records, hard_max_bytes, identity_propagation.

Full defaults: doc/configuration.md.

N. Quality, packaging & agent DX

Feature Detail
Conformance suite 302/302 checks (incl. KIP Test Plan matrix + coverage gap-fill)
Line coverage 100% of kafka_mcp/ via python run_coverage.py (optional coverage package)
Smoke + demo test_kafka_mcp.py (16), demo_end_to_end.py (22 steps, all security codes)
Examples Six folders with real-world data/ fixtures
PyPI kafka-mcp-enterprise · CLI kafka-mcp-enterprise
Stdlib-only core No hard third-party deps
Optional OTel pip install …[otel] - not required (doc/observability.md)
AGENTS.md + skills Cursor / Kiro / Copilot / ChatGPT / Gemini (doc/agents-and-skills.md)

O. Documented reference gaps (intentional)

HTTP full server · real brokers · HTTP policy URL client · durable audit_topic publish · wall-clock dependency_timeout_ms · some approval tool names reserved but not all registered · production language = Java (this package is the Python reference). See doc/kip-alignment.md.


Quick start

Requires Python 3.8+. Core has no third-party packages.

# From source
python run_tests.py
python demo_end_to_end.py
python examples/01_sre_readonly_triage/run.py
echo {"jsonrpc":"2.0","id":1,"method":"tools/list"} | python serve_stdio.py

See the PyPI section at the top for pip install, or doc/publishing.md to publish a release.


Documentation & examples

Resource Description
doc/ End-to-end guides: getting started, architecture, security, config, tools, errors, testing
doc/kip-alignment.md Feature matrix vs KIP-1318 - what is implemented vs intentional reference gaps
doc/publishing.md PyPI package kafka-mcp-enterprise
doc/observability.md OpenTelemetry: optional, not required
doc/agents-and-skills.md AGENTS.md + skills for all IDEs
examples/ Six folder-based scenarios (run.py + real-world data/ fixtures)

Repository layout

flowchart TB
  root["kafka-mcp-enterprise-server"]
  pkg["kafka_mcp/<br/>reference server"]
  tests["tests/<br/>302-check suite"]
  docs["doc/<br/>guides + diagrams"]
  ex["examples/<br/>6 scenarios"]
  entry["serve_stdio.py · run_tests.py · demo_end_to_end.py"]
  root --> pkg
  root --> tests
  root --> docs
  root --> ex
  root --> entry

Engineering standards

This reference aims at production-grade practice even while staying a teaching implementation:

Practice How it shows up
Fail-closed First denial wins; no execute-then-check paths
Least privilege Prefix scopes, allow/deny lists, readonly, approval for destructive ops
Defense in depth MCP controls + explicit honesty that broker ACLs are load-bearing
Bounded blast radius Hard record/byte caps, rate limits, per-plane breakers, quarantine
Observable denials Stable error codes, correlation IDs, audit ALLOW/DENY
Testability Deterministic in-memory backend; security + integration coverage
Zero dependency debt Python stdlib only - easy to audit and run in CI
Clear product boundary Official Kafka delivery tracked on KAFKA-20436 (Java)

Honest limitations (by design)

  • Taint / IFC is best-effort - defeatable by data laundering; do not treat as complete mediation.
  • In-memory Kafka - validates control logic; not a broker client.
  • stdio-first - HTTP is specified in the KIP; this reference documents notes, full HTTP is a Java/production concern.
  • Secure-by-default - shipped tools_allowed is read/consume only (SECURE_DEFAULT_TOOLS); enable mutate/destructive explicitly.

Note: Python reference vs Java production code

This repository is a Python reference implementation for validating the KIP-1318 security control model (stdio + in-memory backend + conformance tests). It is not written in Java and is not the official Apache Kafka MCP server.

Items listed as intentional gaps (Streamable HTTP / OAuth, live Admin-Producer-Consumer, EOS/fencing, Connect tools, distributed rate/audit state, JMX, and remaining tools/resources) are specified for the real implementation tracked under KAFKA-20436. Those belong in the actual Java production module (tools/mcp-server) and will be added there - not claimed as complete in this Python reference.

Full matrix: doc/kip-alignment.md.


Related links


License & affiliation

Apache Kafka, KIP-1318, and KAFKA-20436 are trademarks / projects of the Apache Software Foundation. This repository is a community reference aligned with that proposal; it is not the official ASF deliverable unless and until merged under the Kafka project.

from github.com/vaquarkhan/kafka-mcp-enterprise-server

Установка Kafka Enterprise Server

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/vaquarkhan/kafka-mcp-enterprise-server

FAQ

Kafka Enterprise Server MCP бесплатный?

Да, Kafka Enterprise Server MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для Kafka Enterprise Server?

Нет, Kafka Enterprise Server работает без API-ключей и переменных окружения.

Kafka Enterprise Server — hosted или self-hosted?

Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.

Как установить Kafka Enterprise Server в Claude Desktop, Claude Code или Cursor?

Открой Kafka Enterprise Server на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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