rocketride-server
High-performance AI pipeline engine with a C++ core and 50+ Python-extensible nodes. Build, debug, and scale LLM workflows with 13+ model providers, 8+ vector databases, and agent orchestration, all from your IDE. Includes VS Code extension, TypeScript/Python SDKs, and Docker deployment.
- 17.7k stars
- 7.5k forks
- 443 open issues
- Language: Python
- License: MIT
- updated
Install
local · pip / pythonclaude mcp add rocketride-server -- python -m rocketride{
"mcpServers": {
"rocketride-server": {
"command": "python",
"args": ["-m", "rocketride"]
}
}
}{
"mcpServers": {
"rocketride-server": {
"command": "python",
"args": ["-m", "rocketride"]
}
}
}- Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).
- Replace any <placeholder> values with your API keys or paths.
- Restart Claude. The MCP server and its tools appear automatically.
Install first: pip install rocketride
Editor's note
RocketRide is an open-source AI pipeline engine that exposes its functionality as an MCP server, allowing Claude and other MCP-compatible clients to build, execute, and manage AI workflows programmatically. The core runtime is written in C++ with native multithreading, and pipelines are composed from more than 50 node types covering 13 LLM providers, 8 vector databases, OCR, and named entity recognition. Pipelines are stored as portable JSON, which makes them version-controllable and portable across environments. A VS Code extension provides a visual drag-and-drop canvas for assembling these pipelines directly inside the editor, while Python and TypeScript SDKs let developers embed completed pipelines into applications with minimal glue code. Docker deployment is supported for self-hosted production use. The MCP server layer is what connects the engine to Claude Code or Claude Desktop, enabling Claude to trigger pipeline runs, inspect node outputs, and interact with the full node library without leaving the assistant interface. Developers building RAG systems, multimodal search, or multi-step LLM orchestration on their own infrastructure are the primary audience.
MCP Servers overview
RocketRide is the open source AIDE: the AI Development Environment. Build, deploy and harness production-ready AI solutions at light speed, all within your IDE or using the CLI in your terminal.
Your code editor just became the AIDE. RocketRide turns the classic IDE you already use into a full AI Development Environment: one place to compose, debug, observe, and deploy AI runtimes using any model, any tool, any framework, with zero vendor lock-in. Equipped with deep observability and backed by a battle-tested, high-throughput C++ engine, what you build is production-ready the moment it runs. It's the harness for everything behind your AI applications, not just the agents, but the whole stack beneath them.
Under the hood, RocketRide is an open source data pipeline builder and runtime built for AI and ML workloads. With 100+ pipeline nodes spanning 15+ LLM providers, 9 vector databases, OCR, NER, and more, pipelines are defined as portable JSON, built visually in VS Code, and executed by a multithreaded C++ runtime. From real-time data processing to multimodal AI search, RocketRide runs entirely on your own infrastructure.
Home | Documentation | Python SDK | TypeScript SDK | MCP Server | VS Code Marketplace | Open VSX Registry
Design, test, and ship complex AI workflows from a visual canvas, right where you write code.
Drop pipelines into any Python or TypeScript app with a few lines of code, no infrastructure glue required.
Where to start
Run it locallyInstall the extension, pick Local, and run a pipeline on your own machine. Nothing to sign up for.Quick Start → Shipping your first AI feature?Start from what you already know: a working pipeline in three steps, no API keys.Start here → Want to contribute?Claim an issue with one comment, add a node in Python, or fix the docs you're reading.Contributing → Want to run it without ops?We operate the engine; your .pipe runs unchanged, with nothing to provision.RocketRide Cloud →
Open source, MIT. The whole engine is MIT-licensed and OSI-compliant. No enterprise edition, nothing behind a paywall.
Features
| Feature | Description |
|---|---|
| Visual Pipeline Builder | Drag, connect, and configure nodes in VS Code, no boilerplate. Real-time observability tracks token usage, LLM calls, latency, and execution. Pipelines are portable JSON, version-controllable, shareable, and runnable anywhere. |
| High-Performance C++ Runtime | Native multithreading purpose-built for the throughput demands of AI and data workloads. No bottlenecks, no compromises for production scale. |
| 100+ Pipeline Nodes | 15+ LLM providers, 9 vector databases, OCR, NER, PII anonymization, chunking strategies, embedding models, and more. All nodes are Python-extensible, build and publish your own. |
| Multi-Agent Workflows | Built-in CrewAI and LangChain support. Chain agents, share memory across pipeline runs, and manage multi-step reasoning at scale. |
| Coding Agent Ready | RocketRide auto-detects your coding agent: Claude, Cursor, and more. Build, modify, and deploy pipelines through natural language. |
| TypeScript, Python & MCP SDKs | Integrate pipelines into native apps, expose them as callable tools for AI assistants, or build programmatic workflows into your existing codebase. |
| Zero Dependency Headaches | Python environments, C++ toolchains, Java/Tika, and all node dependencies managed automatically. Clone, build, run, no manual setup. |
| One-Click Deploy | Run on Docker, on-prem, or RocketRide Cloud. Production-ready architecture from day one, not retrofitted from a demo. |
Quick Start
Install the extension for your IDE. Search for RocketRide in the extension marketplace:
Click the RocketRide extension in your IDE
Deploy a server - you'll be prompted on how you want to run the server. Choose the option that fits your setup:
Local (Recommended) - This pulls the server directly into your IDE without any additional setup.
On-Premises - Run the server on your own hardware for full control and data residency. Pull the image and deploy to Docker or clone this repo and build from source.
Your first AI feature
Whether you build web apps, integrate APIs, or run backend services, you already have the mental model.
| You already know | Same idea in RocketRide |
|---|
What people ask about rocketride-server
What is rocketride-org/rocketride-server?
rocketride-org/rocketride-server is mcp servers for the Claude AI ecosystem. High-performance AI pipeline engine with a C++ core and 50+ Python-extensible nodes. Build, debug, and scale LLM workflows with 13+ model providers, 8+ vector databases, and agent orchestration, all from your IDE. Includes VS Code extension, TypeScript/Python SDKs, and Docker deployment. It has 17.7k GitHub stars and its last recorded update is dated 2026-10-23.
How do I install rocketride-server?
You can install rocketride-server by cloning the repository (https://github.com/rocketride-org/rocketride-server) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is rocketride-org/rocketride-server safe to use?
Our security agent has analyzed rocketride-org/rocketride-server and assigned a Trust Score of 100/100 (tier: Verified). See the full breakdown of passed checks and flags on this page.
Who maintains rocketride-org/rocketride-server?
rocketride-org/rocketride-server is maintained by rocketride-org. The last recorded GitHub activity is dated 2026-10-23, with 443 open issues.
Are there alternatives to rocketride-server?
Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.
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