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MCP'S

rocketride-server

by RocketRide

mcplead-sourcegithub-mcp-server-repositoriessource:github.comai-pipelinesml-pipelinesllmvector-databasesvscodetypescriptpythondockeropen-source
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Overview

Open-source AI/ML pipeline builder and runtime with an MCP stdio server for running RocketRide pipelines from AI assistants.

Details

RocketRide is described in its documentation as an open-source AI/ML data pipeline builder and runtime. The supplied sources state it includes a high-performance C++ core, 50+ Python-extensible nodes, support for 13 LLM providers and 8 vector databases, VS Code visual building, TypeScript and Python SDKs, an MCP SDK, and Docker deployment. The PyPI package rocketride-mcp is described as a RocketRide MCP stdio server that lets AI assistants run RocketRide pipelines via the Model Context Protocol.

When to Use

Build, debug, and run LLM or AI/ML data pipelines that need visual development in VS Code plus SDK-based integration. Expose existing RocketRide pipelines to AI assistants through the rocketride-mcp stdio server and Model Context Protocol. Evaluate a pipeline runtime that combines LLM providers, vector database integrations, and agent orchestration.

Getting Started

  1. Review the RocketRide documentation at https://docs.rocketride.org/ for the overview, supported nodes, providers, SDKs, and MCP guidance.
  2. Inspect the GitHub repository at https://github.com/rocketride-org/rocketride-server for source code, examples, installation instructions, and deployment files.
  3. Install or review the rocketride-mcp package on PyPI if you need the MCP stdio server for AI assistant integration.
  4. Run a small RocketRide pipeline before relying on it in production.

Key Features

  • •Open-source AI/ML data pipeline builder and runtime.
  • •High-performance pipeline engine with a C++ core and 50+ Python-extensible nodes.
  • •Integrations described for 13 LLM providers and 8 vector databases.
  • •VS Code visual building plus TypeScript, Python, and MCP SDKs.
  • •MCP stdio server package for running RocketRide pipelines from AI assistants.
  • •Docker deployment support.

Capabilities

  • •mcp-server
  • •ai-ml-pipelines
  • •llm-workflows
  • •vector-database-integrations
  • •agent-orchestration
  • •vscode-workflow-building
  • •typescript-sdk
  • •python-sdk
  • •docker-deployment

Last updated Jun 2, 2026