StreamNative

v1.0.0Data Science & MLstable

Developer-friendly MCP server bridging Kafka and Pulsar protocols—built with ❤️ by StreamNative for an agentic, streaming-first future.

apache-kafkaapache-pulsardata-streamingmcpmcp-server
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What is StreamNative?

StreamNative is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to developer-friendly mcp server bridging kafka and pulsar protocols—built with ❤️ by streamnative for an agentic, streaming-first future.

Developer-friendly MCP server bridging Kafka and Pulsar protocols—built with ❤️ by StreamNative for an agentic, streaming-first future.

This server falls under the Data Science & ML and APIs categories on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • Developer-friendly MCP server bridging Kafka and Pulsar prot

Use Cases

Bridge Kafka and Pulsar protocols for streaming data integration.
Build agentic, streaming-first applications with unified message handling.
streamnative

Maintainer

LicenseApache-2.0
Languagego
Versionv1.0.0
UpdatedMay 20, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx streamnative

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

How to Set Up and Use StreamNative

StreamNative MCP Server (snmcp) is a Go-based MCP integration that bridges Apache Kafka and Apache Pulsar streaming platforms with AI agents, enabling natural-language interaction with message brokers, topics, consumer groups, schemas, and streaming infrastructure. It supports StreamNative Cloud deployments as well as external self-managed Pulsar and Kafka clusters, with modular feature sets selectable at startup. Platform engineers and data engineers can use it to produce and consume messages, inspect topic configurations, manage Pulsar Functions, monitor schemas, and administer clusters — all through conversational AI without needing to memorize CLI syntax.

Prerequisites

  • Access to a StreamNative Cloud organization, a self-managed Apache Pulsar cluster, or an Apache Kafka cluster
  • For StreamNative Cloud: a service account key JSON file and organization ID
  • For external Pulsar: broker web service URL and an auth token (or auth plugin credentials)
  • For external Kafka: bootstrap server address and SASL/TLS credentials if required
  • An MCP-compatible client such as Claude Desktop; Homebrew for the easiest binary install on macOS/Linux
1

Install snmcp

Install the snmcp binary via Homebrew on macOS or Linux. Alternatively, pull the Docker image or build from source.

# Homebrew
brew tap streamnative/streamnative
brew install streamnative/streamnative/snmcp

# Docker
docker pull streamnative/snmcp
2

Configure credentials for your platform

Set environment variables or CLI flags for your streaming platform. For StreamNative Cloud, provide your organization ID and service account key file.

# StreamNative Cloud
export SNMCP_ORGANIZATION=your-org-id
export SNMCP_KEY_FILE=/path/to/service-account-key.json

# External Kafka
# Pass --kafka-bootstrap-servers and auth flags at runtime
3

Start the server in stdio mode (StreamNative Cloud)

Run snmcp in stdio mode for direct MCP client integration with StreamNative Cloud.

bin/snmcp stdio --organization my-org --key-file /path/to/key.json
4

Or start with external Pulsar via SSE

Use SSE transport for external Pulsar clusters, optionally enabling multi-user session mode.

bin/snmcp sse --http-addr :9090 --use-external-pulsar \
  --pulsar-web-service-url http://pulsar.example.com:8080 \
  --pulsar-token your-auth-token
5

Select feature sets

Use the --features flag to enable only the tool categories you need, reducing the MCP tool surface exposed to the agent.

# Enable all Kafka tools
bin/snmcp stdio --features all-kafka --kafka-bootstrap-servers broker:9092

# Enable all Pulsar tools
bin/snmcp stdio --features all-pulsar --use-external-pulsar \
  --pulsar-web-service-url http://pulsar.example.com:8080
6

Configure your MCP client

Add snmcp to your Claude Desktop configuration for StreamNative Cloud access.

StreamNative Examples

Client configuration

Add snmcp to Claude Desktop for StreamNative Cloud in stdio mode with credentials from environment variables.

{
  "mcpServers": {
    "streamnative": {
      "command": "snmcp",
      "args": ["stdio", "--features", "all-pulsar"],
      "env": {
        "SNMCP_ORGANIZATION": "your-org-id",
        "SNMCP_KEY_FILE": "/path/to/service-account-key.json"
      }
    }
  }
}

Prompts to try

Manage Kafka and Pulsar streaming infrastructure through natural-language conversation.

- "List all Kafka topics in the cluster and show their partition counts."
- "Produce a test message 'hello world' to the topic 'orders'."
- "Show me the consumer group lag for group 'payment-processor'."
- "List all Pulsar namespaces in tenant 'my-tenant'."
- "What Pulsar Functions are currently running and what are their statuses?"
- "Show me the schema registered for topic 'user-events'."
- "Switch to my staging StreamNative Cloud cluster."

Troubleshooting StreamNative

Authentication fails for StreamNative Cloud

Verify that SNMCP_KEY_FILE points to a valid service account JSON key file and that SNMCP_ORGANIZATION matches your exact organization ID from the StreamNative Cloud console. Service accounts must have appropriate role bindings in the organization.

Kafka tools are not available or tool calls fail with connection refused

Ensure you started snmcp with '--features all-kafka' or 'kafka-client' and that '--kafka-bootstrap-servers' points to a reachable broker. Check that TLS/SASL settings match your Kafka cluster's security configuration.

SSE server starts but MCP client cannot connect

Verify the --http-addr port is not blocked by a firewall and that the MCP client is configured to use the SSE transport URL (e.g., http://localhost:9090/sse). For multi-user mode, Bearer tokens must be included in the Authorization header.

Frequently Asked Questions about StreamNative

What is StreamNative?

StreamNative is a Model Context Protocol (MCP) server that developer-friendly mcp server bridging kafka and pulsar protocols—built with ❤️ by streamnative for an agentic, streaming-first future. It connects AI assistants to external tools and data sources through a standardized interface.

How do I install StreamNative?

Follow the installation instructions on the StreamNative GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with StreamNative?

StreamNative works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is StreamNative free to use?

Yes, StreamNative is open source and available under the Apache-2.0 license. You can use it freely in both personal and commercial projects.

Browse More Data Science & ML MCP Servers

Explore all data science & ml servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "streamnative": { "command": "npx", "args": ["-y", "streamnative"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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