rocketride-server
High-performance AI pipeline engine supporting over 50 extensible nodes and multiple model providers.
- Type
- MCP
- Transport
- http
- Open source
- Yes
- GitHub Stars
- ★ 4.0k
- Source
- mcp-github
Overview
RocketRide is a high-performance AI pipeline engine with a C++ core and over 50 Python-extensible nodes. It enables users to build, debug, and extend LLM workflows within an IDE, supporting more than 13 model providers and over 8 vector databases. The tool includes a VS Code extension, TypeScript/Python SDKs, and Docker deployment options. Ideal for developers who need to rapidly build and deploy production-grade AI solutions.
Capabilities
- ▪Supports over 50 extensible nodes
- ▪Integrates with over 13 model providers
- ▪Supports over 8 vector databases
- ▪Provides VS Code extension
- ▪Supports TypeScript/Python SDKs
- ▪Supports Docker deployment
Use cases
Setup
Install via pip: `pip install rocketride-mcp` or via npm: `npm install rocketride`
This information was compiled by AI from public sources and may contain inaccuracies — please refer to the source.
FAQ
What model providers does RocketRide support?
Supports over 13 model providers, including major LLM providers.
How do I use RocketRide in VS Code?
Install the VS Code extension and configure the relevant settings.
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