Kafka MCP Enterprise Server

Kafka MCP Enterprise Server

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.

Category
访问服务器

README

Kafka MCP Enterprise Server

PyPI Python License

Kafka MCP Enterprise - product image

Product packaging image for the PyPI package (not a web UI).

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

Reference implementation of KIP-1318: a first-party Model Context Protocol (MCP) server for Apache Kafka-secure by design, fail-closed by default, and built for agent workloads that must not become a confused deputy on your cluster.

KIP KIP-1318: MCP Server for Apache Kafka
Jira KAFKA-20436 - Implement KIP-1318
Discuss [DISCUSS] KIP-1318 on dev@kafka.apache.org
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) that exposes tools and kafka:// resources without changing the Kafka wire protocol. This reference implements the full enterprise control plane below.

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, 11 tools, kafka:// resources, tests, and examples.

How it runs

flowchart LR
  Agent["Agent / IDE"]
  MCP["kafka-mcp-enterprise<br/>stdio JSON-RPC + pipeline"]
  Kafka["Kafka<br/>ACLs authoritative"]
  Agent -->|"MCP tools/call"| MCP
  MCP -->|"Admin / Produce / Consume"| Kafka

This repo: Python stdlib reference (in-memory Kafka for tests). KIP production track: Java (tools/mcp-server / 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 85/85 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 (11) - 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
delete_topic destructive control_plane DELETE
create_acls destructive control_plane ALTER

C. Resources (kafka://)

URI Purpose
kafka://topics List topics
kafka://topics/{name} Describe topic
kafka://cluster Cluster id + brokers
kafka://groups Consumer groups
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 Ops should set allow-list to read/non-destructive (harness default * - tighten in prod)
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 85/85 checks (functional, security, guardrails, mechanisms, resources, stdio, audit hardening)
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/>85-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 in ops - tighten tools_allowed to read/non-destructive in real deployments (see configuration guide).

Related links

  • KIP-1318 (wiki): https://cwiki.apache.org/confluence/display/KAFKA/KIP-1318%3A+Model+Context+Protocol+%28MCP%29+Server+for+Apache+Kafka
  • Jira: https://issues.apache.org/jira/browse/KAFKA-20436
  • MCP specification: https://modelcontextprotocol.io/

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.

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选