mcp-server

jcode: Boost Coding

Harness coding power with jcode, a tool for founders, backed by 6.9k+ GitHub stars.

From the repo · “The most RAM efficient harness”

intermediate⏱ 30 minutes💵 Free + LLM API costs
21,115 stars+283★ this week2,451 forksRustGuide quality 8/10 · reviewed Jun 30Updated 10/22/2026100% free · open source
What it is

Lets you build coding agents using AI from OpenAI.

Real use case example

"A solo developer wants to automate a task: whenever a new customer signs up on Stripe, they want to add the customer to their Notion database and send a welcome email through Resend. They can create a coding agent using this skill that connects Stripe to Notion and Resend, saving time and making their workflow more efficient."

Best insideCodex CLIClaude APISelf-hosted
When to use it
  • •When you need to automate repetitive coding tasks
  • •When you want to integrate coding capabilities into your non-technical workflow
  • •When you need to collaborate with developers on a project without requiring extensive coding knowledge
Ready-to-paste prompt
jcode run --task 'generate a simple web scraper in Rust'
Heads up: Make sure you have Rust and Cargo installed on your system, as jcode is built using Rust and requires these tools to run
Saves to your device
Use with Claude
New

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

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/jcode && curl -fsSL https://workflowstacks.com/api/skills/jcode/claude-skill -o ~/.claude/skills/jcode/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 jcode: Boost Coding works
Codeflow
Free to inspect

Jcode: Boost Coding is a very large Rust project (~654k lines across 1338 code files, plus 128 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, MIT license, has a test suite.

Size
Very large codebase
~654k lines · 1338 code files · days to read — use, don't read
Setup
Developer setup
A real software project. Use it via its install path; don't expect to read it all.
Runs on
Rust
No API keys detected
Rust 92%Python 5%Shell 1%JavaScript 1%Swift 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
    src/main.rs
    Where the program starts running
  4. 4
    Cargo.toml
    Dependencies and the commands it exposes
What's in each folder
src/Core code — the actual logic51 files
docs/Documentation85 files
crates/Folder1192 files
scripts/Helper scripts179 files
ios/Folder76 files
changelog/Folder74 files
sdk/SDKs / client libraries50 files
telemetry-worker/Folder46 files
READMEHas testsDocumentedCI checksMIT licenseUpdated this month
Quick Actions
Details
Creator
1jehuang
Language
Rust
Category
mcp-server
Published
1/5/2026

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Featured on WorkflowStacks
[![Featured on WorkflowStacks](https://workflowstacks.com/api/badge/jcode.svg)](https://workflowstacks.com/skills/jcode?utm_source=github&utm_medium=badge)
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