kitbash
Tells your AI agent which parts of your idea already exist on GitHub, which to adapt, and which to just write — every repo verified live. MCP server, Claude Code plugin, and agent skill.
Install / Use
claude mcp add Open-Dev-Society -- npx -y github:Open-Dev-Society/kitbashIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
Development & EngineeringSupported Platforms
Skill content
View source on GitHubKitbash
Kitbash is an open-source MCP server that tells your AI agent which parts of your idea already exist, which to adapt, and which to just write. It deletes the repos that don't exist before you ever see them. Built openly, for everyone, forever free.
claude mcp add kitbash -- npx -y github:Open-Dev-Society/kitbash
No API key. No sign-up. Works in Claude Code, Cursor, Claude Desktop, VS Code, Codex, Windsurf, and any other agent that speaks MCP.
📋 Table of Contents
- ✨ Introduction
- 🌍 Open Dev Society Manifesto
- 🔍 What It Looks Like
- 🔋 Features
- 🤸 Quick Start
- 💬 Usage
- ⚙️ How It Works
- 🔐 GitHub Token
- ☁️ Self-Hosting
- 🧱 Project Structure
- 🧪 Scripts & Tooling
- 🤝 Contributing
- 🛡️ Security
- 📜 License
- 🙏 Acknowledgements
✨ Introduction <a name="introduction"></a>
Your coding agent will happily rewrite a PDF parser for you. It'll take twenty minutes and it'll look completely correct.
It won't be. PDF parsing is years of edge cases that appear in no spec: broken xref tables, CID fonts with no ToUnicode map. The same goes for timezone math, OAuth, Unicode normalization, container muxing, and rate limiting under contention. You find out in production.
The opposite trap is just as common: pulling in a dependency to save twenty lines of glue.
Search can't help. It ranks by popularity, not fit, so the right small library stays buried on page four. And when a model will write anything in twenty minutes, rebuilding feels free, so nobody looks first.
Kitbash is the ten-second judgment a senior developer makes before writing anything, turned into a tool. It doesn't make you ship faster. It makes you ship less. Four components you never build beat four components you build quickly.
Every part of your idea gets one verdict:
| Verdict | Meaning | |---|---| | 🟢 BORROW | A maintained library exists and the correctness was hard-won. Rewriting it is the mistake. Take the dependency. | | 🟡 KITBASH | A good reference exists but isn't a clean fit. Read it, adapt the approach, leave the dependency. | | 🔵 WRITE | Generic enough that your agent should just write it. A component you never take on is one you never maintain. |
🌍 Open Dev Society Manifesto <a name="manifesto"></a>
We live in a world where knowledge is hidden behind paywalls. Where tools are locked in subscriptions. Where information is twisted by bias. Where newcomers are told they're not "good enough" to build.
We believe there's a better way.
- Our Belief: Technology should belong to everyone. Knowledge should be open, free, and accessible. Communities should welcome newcomers with trust, not gatekeeping.
- Our Mission: Build free, open-source projects that make a real difference:
- Tools that professionals and students can use without barriers.
- Knowledge platforms where learning is free, forever.
- Communities where every beginner is guided, not judged.
- Resources that run on trust, not profit.
- Our Promise: We will never lock knowledge. We will never charge for access. We will never trade trust for money. We run on transparency, donations, and the strength of our community.
- Our Call: If you've ever felt you didn't belong, struggled to find free resources, or wanted to build something meaningful — you belong here.
Because the future belongs to those who build it openly.
🔍 What It Looks Like <a name="what-it-looks-like"></a>
Real output for "a CLI that ingests podcast RSS, transcribes episodes, and makes them
searchable." Every repo returned 200 from the GitHub API seconds before it was printed.
| # | Component | Verdict | Part | Stars | License | |---|---|---|---|---|---| | 01 | Podcast feed parsing | 🟢 BORROW | gpodder/podcastparser | 144 | ISC | | 02 | Speech-to-text | 🟢 BORROW | SYSTRAN/faster-whisper | 24,000 | MIT | | 03 | Transcript search index | 🟡 KITBASH | simonw/sqlite-utils | 2,100 | Apache-2.0 | | 04 | Episode pipeline and CLI | 🔵 WRITE | yours: about a hundred lines | — | — |
Two things to notice:
- A 144-star repo beat a 2,400-star one for the lead slot.
podcastparseris the parser the gPodder client actually uses. It streams instead of building the XML tree, and it already normalizes theitunes:durationmess.feedparseris the popular fallback, ranked second. Surfacing the exact fit GitHub search buries is the whole product. - It told you to write part 04 yourself, and argued for it: "The interesting state here is domain state, not queue state. Transcription is minutes per episode, so the only checkpoint that matters is a row per episode with a status column. Any task-queue dependency would still leave you writing that row yourself." A tool that recommends a repo for everything is a tool nobody believes, so WRITE is a required outcome.
🔋 Features <a name="features"></a>
- Decomposition with judgment
- Splits an idea into 3–6 functionally distinct components, refusing to split one library's job three ways
- A built-in hazard list (PDF, crypto, timezones, OAuth, codecs, Unicode, rate limiting, …) steers hard-won domains toward BORROW
- WRITE is mandatory. A slate with zero WRITE components gets sent back for review
- Fit over popularity
- The under-starred exact fit ranks ahead of the popular general-purpose library
- The agent's own ordering leads, and repo health can only demote. Stars are a weak signal on purpose
- Target stack and license constraints shape every recommendation
- Live verification
- Every
owner/nameis resolved against the GitHub API. Repos that don't exist are dropped and counted in the report - Archived, disabled, unlicensed, forked, renamed, and abandoned repos are flagged
- BORROW on a repo nobody has touched in two years gets a loud warning
- If every candidate for a component dies, the agent is sent back for replacements before it can answer
- About 950 ms to verify 10 repos, in parallel
- Every
- Honest under failure
- Rate limits and outages are reported as "couldn't check", never as "doesn't exist"
- An offline snapshot fills network gaps, and every cached record is labelled cached
- Install it your way
- Claude Code plugin, local MCP server, remote connector, or plain agent skill with no MCP at all
- Zero config: picks up your existing
ghlogin
🤸 Quick Start <a name="quick-start"></a>
Prerequisites: Node.js 18+. A GitHub token is optional but recommended (see GitHub Token).
Claude Code plugin
/plugin marketplace add Open-Dev-Society/kitbash
/plugin install kitbash@kitbash
MCP server
claude mcp add kitbash -- npx -y github:Open-Dev-Society/kitbash # Claude Code
codex mcp add kitbash -- npx -y github:Open-Dev-Society/kitbash # Codex CLI
<details>
<summary><b>Cursor, Claude Desktop, Windsurf</b></summary>
Add to ~/.cursor/mcp.json, claude_desktop_config.json, or your client's MCP config:
{
"mcpServers": {
"kitbash": { "command": "npx", "args": ["-y", "github:Open-Dev-Society/kitbash"] }
}
}
</details>
<details>
<summary><b>VS Code</b></summary>
Add to .vscode/mcp.json:
{
"servers": {
"kitbash": { "type": "stdio", "command": "npx", "args": ["-y", "github:Open-Dev-Society/kitbash"] }
}
}
</details>
<details>
<summary><b>Windows</b></summary>
Native Windows needs npx wrapped in cmd:
{ "command": "cmd", "args": ["/c", "npx", "-y", "github:Open-Dev-Society/kitbash"] }
</details>
The first launch installs and builds the package, which takes about 25 seconds. After that it starts in about 3.
Remote connector (claude.ai, ChatGPT, any client that takes a URL)
Kitbash speaks Streamable HTTP with no auth. Run your own endpoint (see Self-Hosting) and add it as a custom connector:
https://YOUR-DEPLOYMENT/mcp
Agent skill (no MCP required)
npx skills add Open-Dev-Society/kitbash
This installs skills/kitbash/SKILL.md into Claude Code, Cursor,
Codex, and every other agent skills.sh supports. The skill carries the
same rubric and shells out to the same fact-checker — pinned to an exact commit, see
Security — so it works with no MCP connection at all.
💬 Usage <a name="usage"></a>
Describe something you were about to build:
Use kitbash: a desktop app that watches a folder and makes scanned PDFs searchable. TypeScript, MIT.
Saying "use kitbash" helps. Otherwise the agent sometimes answers from its own knowledge and skips the tool. A run takes about a minute. Naming your stack and license is optional, but it sharpens every recommendation.
⚙️ How It Works <a name="how-it-works"></a>
There is no model inside this server. That's the design, not a shortcut.
Recall is the product: knowing that a 144-star parser exists at all. The best recall available is in the model already running your session, which is far larger than anything this server could afford to host. So Kitbash doesn't try to out-remember it. It aims that recall, then stops it from lying.
sequenceDiagram
participant U as You
participant A as Your agent
participant K as Kitbash
participant G as GitHub API
U->>A: "Build me X"
A->>K: kitbash(idea)
K-->>A: rubric (never an answer)
Note over A: decomposes the idea, assigns verdicts,<br/>recalls candidate repos
A->>K: kitbash_verify(slate)
K->>G: GET /repos/{owner}/{name}, in parallel
G-->>K: exists? archived? license? last commit?
K-->>A: verified report + next_action
A-->>U: the report, and only the report
kitbashreturns a rubric and nothing else. It never returns anything that could pass for an answer. If it did, the agent would show it and skip verification.kitbash_verifyfact-checks the slate. It drops the repos that don't exist, attaches health signals, ranks the survivors, and renders the report the user sees.
A model asked for repo names produces plausible ones, and invented names look
Truncated for display — read the full file on GitHub.
Related Skills
Agent-Reach
81.6kGive your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
ruflo
72.5k🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
headroom
72.2kCompress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
CowAgent
47.0kOpen-source super AI assistant & Agent Harness. Plans tasks, runs tools and skills, self-evolves with memory and knowledge. Multi-agent, multi-model, multi-channel. Lightweight, extensible, one-line install. (formerly chatgpt-on-wechat)
