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  3. Conduktor
C
Health: ActiveRecent health check succeeded.Last checked 10/14/2026, 7:31:38 PM

Conduktor

InstallableWe know how to install it, but have not yet seen it complete a handshake. User RatingsBe the first to rate and review this MCP server!
View Repository5 GitHub StarsTotal stargazers on GitHub for the source repository (5 stars).Visit Website
kafkaconduktorstreamingobservabilitygovernance

Read-only Kafka visibility through Conduktor Console, covering clusters, topics, messages, consumer groups, schemas, access, lineage, and cost.

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.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Configure Environment Variables (API Keys, Tokens, Options):
Add required secrets below β€” values are included directly in the generated snippet so you can copy and paste with confidence.
Quick Add:
Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "conduktor": {
      "command": "npx",
      "args": [
        "-y",
        "@conduktor/mcp"
      ],
      "env": {
        "CONDUKTOR_CONSOLE_URL": "YOUR_VALUE_HERE",
        "CONDUKTOR_API_TOKEN": "YOUR_VALUE_HERE"
      }
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (23) Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Overview

The Conduktor MCP server connects MCP clients to Kafka environments managed by Conduktor Console. It exposes Console metadata and diagnostic tools for clusters, topics, consumer groups, schemas, certificates, lineage, audit logs, and chargeback data. Requests use a Console Personal Access Token and are evaluated through the caller's Console permissions. Reach for it when an AI assistant needs governed visibility into Kafka operations without deploying a separate server.

Use cases

β€’Inspect Kafka cluster health and capacity
β€’Find topics with low or missing usage
β€’Diagnose consumer lag and blocking records
β€’Check schema compatibility before changes
β€’Review Kafka ownership, access, lineage, and cost

Key features

β€’Kafka cluster and topic discovery
β€’Topic usage and health analysis
β€’Consumer group lag inspection
β€’Schema version and compatibility checks
β€’Message lookup by topic or offset
β€’Lineage, audit, certificate, and chargeback queries

Capabilities & Tool Schemas (23) ~349 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 Conduktor.

list-clusters

Every Kafka cluster this Console manages, with its Schema Registry, Connect clusters and flavor

get-cluster

One cluster's registration by slug

insights-cluster

Health score, topic and partition counts, serialization breakdown β€” the shape of a cluster in one call

list-topics

Topic catalogue: names, labels, descriptions, partitions, replication, configs

get-topic

One topic by exact name

list-topics-with-usage

Topics with message count, size and throughput

How Conduktor works

What Conduktor MCP server does

The Conduktor MCP server gives AI assistants an MCP interface to Kafka estates registered in Conduktor Console. It covers both Kafka resource inspection and related Console control-plane metadata, including cluster registrations, topic catalogues, consumer groups, schemas, certificates, applications, permissions, lineage, audit activity, and team chargeback information.

The supplied tools are primarily read-oriented. They can show cluster health, topic usage, partition and replication issues, consumer lag, recent records, records at specific offsets, schema versions, and compatibility results. This makes the server suitable for investigation and operational questions where the assistant needs current information from Console rather than static documentation.

How it works

The server endpoint runs inside Conduktor Console. A client launches the published @conduktor/mcp package, which connects to the Console MCP endpoint; the package appends /api/mcp to the configured Console URL when needed. The repository also documents a direct mcp-remote setup for clients that do not use the package wrapper.

Each request carries a Console Personal Access Token. Console RBAC determines which clusters and resources the caller can access, and calls are recorded in the Console audit log. The material describes the model-facing data as control-plane metadata, while Kafka records remain in Kafka unless a task uses a tool that reads them. Message inspection tools such as get-last-messages and get-record-at are exceptions that can retrieve record data.

Setup and configuration

Create a Personal Access Token in Conduktor Console, then configure an MCP client with the launcher:

config.json
{
  "mcpServers": {
    "conduktor": {
      "command": "npx",
      "args": ["-y", "@conduktor/mcp"],
      "env": {
        "CONDUKTOR_CONSOLE_URL": "https://console.example.com",
        "CONDUKTOR_API_TOKEN": "your-personal-access-token"
      }
    }
  }
}

CONDUKTOR_CONSOLE_URL identifies the Console instance, and CONDUKTOR_API_TOKEN supplies authentication. URLs that already end with /api/mcp are accepted. As an alternative, invoke mcp-remote directly and pass the token as a Bearer authorization header.

The repository includes a demo environment that starts Kafka, Console, and the MCP endpoint with Docker Compose. It is seeded with topics, traffic, and a lagging consumer group for evaluation without an existing Kafka estate.

Tools and capabilities

The Conduktor MCP server exposes tools in these areas:

  • Clusters: list managed clusters, retrieve one by slug, and inspect health, topic counts, partition counts, and serialization breakdown.
  • Topics: browse, retrieve, filter, aggregate, and inspect usage, including message counts, size, throughput, partition skew, and replication problems.
  • Messages: retrieve the latest messages or locate a record by partition and offset.
  • Consumer groups: inspect state, lag, members, and the groups consuming a particular topic.
  • Schemas: retrieve a schema version and test compatibility before a change is introduced.
  • Governance and operations: inspect interceptors, ACL bindings, certificate expiry, registered applications, stream lineage, audit events, and team chargeback reports.

Limitations and notes

The server depends on Conduktor Console and an authorized Personal Access Token; it is not a standalone Kafka deployment or a replacement for Console. Access is limited by the token holder's Console RBAC permissions, so an assistant cannot see resources unavailable to that identity.

The supplied listing describes the current use case as read-only Kafka access. Although the repository documentation discusses a broader agent model and additional operational workflows, the tools listed for this entry should be treated as the supported interface when evaluating coverage.

The endpoint runs inside Console, so there is no separate server deployment described for production use. For launcher or repository issues, the README distinguishes those from issues with the server running in Console, which should go through Conduktor support.

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
5
Stargazers on the source repository.
Last commit
2d ago
Most recent push to the default branch.
Tools exposed
23
Callable tools this server registers over MCP.

Reviews

No reviews yet β€” be the first to share how this listing worked for you.

Frequently Asked Questions about Conduktor

Conduktor is an MCP server that connects AI assistants to Kafka environments managed through Conduktor Console. Its main tools inspect clusters, topics, consumer groups, schemas, messages, certificates, lineage, audit logs, access rules, applications, and chargeback data, with requests governed by Console authentication and permissions.

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
ClientsClaude Desktop, Cursor, Cline / VS Code, Windsurf, Claude Code, VS Code (GitHub Copilot), Zed, OpenAI Codex CLI, Gemini CLI, JetBrains AI Assistant, Roo Code, Continue, LM Studio
Last updatedOct 14, 2026
Views0
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 stars5
GitHub Star CountTotal stargazers on GitHub representing community popularity (5 stars).
Last commit2d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Oct 12, 2026
53Quality signal: Good Β· 53/100How 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 & tools25/30
Adoption & activity5/15
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.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 2h ago via OSV.dev Β· @conduktor/mcp (npm)

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