mcp-server

rocketride-server: Turbocharge LLM Pipelines with C++ Speed

Scale AI workflows from your IDE using 50+ extensible nodes, 13 model providers and 8 vector databases—ideal for founders building production LLM products. 18k+ GitHub stars.

From the repo · “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.”

intermediate⏱ 30 minutes💵 Free
17,710 stars7,492 forksC++Guide quality 8/10 · reviewed Oct 5Updated 10/23/2026100% free · open source
What it is

Builds, runs, and scales your text-based AI projects using a powerful engine.

Real use case example

"A solo developer wants to create a chatbot that integrates with various AI models. They build, test, and deploy the chatbot using this pipeline engine in under an hour."

Best insideClaude DesktopCursorCodex CLI
When to use it
  • •When you need to integrate multiple model providers and vector databases into your AI workflow
  • •When you require a scalable and performant AI pipeline engine for large volumes of data
  • •When you want to debug and visualize your AI workflow directly from your IDE
Ready-to-paste prompt
python -c 'from rocketride import Rocketride; rocketride = Rocketride(); workflow = rocketride.create_workflow("my_workflow"); workflow.add_node("model_provider", "huggingface")'
Heads up: Ensure you have a compatible C++ runtime version installed, as rocketride-server requires a specific version to function correctly, and also be aware that some model providers and vector databases may require API keys or paid subscriptions
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🔑 Needs an API key

Works after you add credentials — the setup agent will ask you for them.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/rocketride-server && curl -fsSL https://workflowstacks.com/api/skills/rocketride-server/claude-skill -o ~/.claude/skills/rocketride-server/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How rocketride-server: Turbocharge LLM Pipelines with C++ Speed works
Codeflow
Free to inspect

Rocketride-server: Turbocharge LLM Pipelines with C++ Speed is a very large Python project (~625k lines across 2917 code files, plus 719 test files). Setup is light: installs like a normal app — add your API keys. Reading the code is optional. Last commit this month, MIT license, has a test suite.

Size
Very large codebase
~625k lines · 2917 code files · days to read — use, don't read
Setup
One-command install
Installs like a normal app — add your API keys. Reading the code is optional.
Runs on
Python · Node.js · Docker
Needs API keys (.env)
Python 48%TypeScript 26%C++ 22%JavaScript 3%C 1%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    AGENTS.md
    The instructions the AI actually follows
  3. 3
    package.json
    Dependencies and the commands it exposes
  4. 4
    .env.template
    The API keys and settings you must provide
  5. 5
    examples/.env.example
    A worked example — copy this to get going
What's in each folder
packages/Sub-packages / plugins2091 files
apps/Sub-packages / plugins780 files
pipelines/Workflows / pipelines3 files
docs/Documentation200 files
examples/Examples you can copy37 files
nodes/Folder1661 files
testdata/Folder62 files
scripts/Helper scripts57 files
READMEHas testsDocumentedCI checksDocker readyExamples includedMIT licenseUpdated this month
Quick Actions
Details
Creator
rocketride-org
Language
C++
Category
mcp-server
Published
2/11/2026

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