Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
MCP server for tool discovery: find, compare, and verify tools across 35+ registries.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"toolcairn": {
"command": "npx",
"args": [
"-y",
"@neurynae/toolcairn-mcp"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add toolcairn -- npx -y @neurynae/toolcairn-mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"toolcairn": {
"command": "npx",
"args": [
"-y",
"@neurynae/toolcairn-mcp"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"toolcairn": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@neurynae/toolcairn-mcp"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검
레지스트리 이름이 GitHub 계정 neurynae 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(1.0.0)은 6개월 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.
같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, Hunter Killer
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Liquidation walls, snapshot age, evidence labels and a public record. Managed OAuth.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
@neurynae/toolcairn-mcpSource for
@neurynae/toolcairn-mcpon npm. Install via the package, not from this repo.
ToolCairn is an MCP server that connects your AI coding agent to a continuously-updated graph of 30,000+ open-source tools across npm, PyPI, Cargo, Maven, Go, Composer, RubyGems, NuGet, Homebrew, and 35+ more registries. Search, compare, build stacks, and check version compatibility — all from inside Claude Code, Cursor, or any MCP-compatible client.
Concrete example. Your agent receives *"I need a fast HTTP client for Node"* → it calls
search_tools→ ToolCairn returns ranked candidates with maintenance and community signals, alternatives, and a warning if the top pick has questionable activity. No more guessing from blog posts and stale tutorials.
The MCP server runs locally as a stdio child of your agent. Tool calls travel over MCP to this package, which proxies the network-bound ones to the ToolCairn Cloud API and handles the local-only ones (project scan, config, audit log) on disk.
Plain web search and LLM training data are insufficient for tool selection — knowledge cutoffs miss latest releases, search engines surface tutorials over authoritative ranking, and version-compatibility answers live in scattered issue threads.
ToolCairn fixes this with three things you can't get from raw registry APIs:
Step 1. Create a free account at [toolcairn.neurynae.com/signup](https://toolcairn.neurynae.com/signup).
Step 2. Add to your MCP config and restart your agent:
{
"mcpServers": { "toolcairn": { "command": "npx", "args": ["@neurynae/toolcairn-mcp"] } } }
Step 3. A browser window opens for sign-in on first start. Once you confirm, all tools are available immediately — no further setup.
Requires Node.js 22+.
The fastest path:
claude mcp add toolcairn -- npx @neurynae/toolcairn-mcp
Or paste the JSON block above into ~/.claude/claude_desktop_config.json under mcpServers.
Other MCP-compatible clients (Cursor, Claude Desktop, VS Code Copilot, Windsurf, Zed, …) work with the same
npx @neurynae/toolcairn-mcpcommand — see the docs for client-specific config locations.
Your agent receives *"I need a real-time analytics database for event tracking"* → calls search_tools → gets ranked candidates (ClickHouse, TimescaleDB, InfluxDB, …) with maintenance signals. If the intent is ambiguous, the response carries clarification questions; the agent answers via search_tools_respond and gets refined results.
Your agent receives *"Help me architect a full-stack TypeScript SaaS"* → calls refine_requirement to decompose, then get_stack with the per-layer needs → gets a 3–5 tool stack (web framework + database + auth + payments) with a version-compatibility matrix showing which versions work together across the stack.
*"Express vs Fastify for a REST API?"* → compare_tools returns side-by-side health (stars, maintenance score, last commit, open issues, contributor trends), graph relationships (what each integrates with, what they replace), and a recommendation grounded in your stated use case.
*"I want to upgrade Next.js to 14 but keep React 17."* → check_compatibility evaluates declared peer ranges and returns satisfied/unsatisfied checks with the source (declared_dependency / graph_edges / shared_neighbors).
On first session, toolcairn_init walks your repo, parses every manifest (package.json, requirements.txt, pyproject.toml, Cargo.toml, go.mod, pom.xml, Gemfile, composer.json, …), classifies each tool against the ToolCairn graph, and writes a local .toolcairn/ snapshot. Subsequent sessions read this snapshot first — your agent stops re-searching for things it already knows about.
The MCP server exposes 16 tools, grouped by purpose. Most are local (no network) or fire-and-forget; the search, compare, and stack tools call the ToolCairn API.
| Tool | What it does |
|---|---|
search_tools | Natural-language search with health signals and alternatives. May ask clarifying questions when intent is ambiguous. |
search_tools_respond | Submit answers to refine an in-progress search. |
refine_requirement | Decompose a vague use-case ("build a SaaS") into specific, searchable sub-needs. |
verify_suggestion | Check whether the agent's tool picks are actually indexed in the ToolCairn graph. |
| Tool | What it does |
|---|---|
get_stack | Compose a complementary tool stack with a cross-version compatibility matrix. |
compare_tools | Head-to-head: health metrics, graph relationships, and a recommendation. |
check_compatibility | Version-aware peer-range check between two tools. |
| Tool | What it does |
|---|---|
toolcairn_init | Discover project roots, scan manifests, classify tools, write .toolcairn/. |
read_project_config | Load the local .toolcairn/config.json snapshot (confirmed tools, pending items, audit log). |
update_project_config | Atomically add, remove, or update a tool — every mutation is audited. |
| Tool | What it does |
|---|---|
report_outcome | Fire-and-forget: did the recommended tool work out? Closes the learning loop. |
feedback | Agent feedback on ToolCairn itself. Call ONLY when a ToolCairn response was wrong, broken, low-quality, or missed something — never for positive feedback. Free of daily quota. |
suggest_graph_update | Submit a new tool, edge, or use-case for admin review (staged, never auto-promoted). |
check_issue | Last resort. Search a tool's GitHub issues for known bugs — only after 4+ retries and a docs review. |
| Tool | What it does |
|---|---|
classify_prompt | Local: decide whether a tool search is needed at all (skips ToolCairn for non-tool prompts). |
toolcairn_auth | Manage local sign-in: login / status / logout. |
| Environment variable | Default | Purpose |
|---|---|---|
TOOLCAIRN_TRACKING_ENABLED | true | Set false to disable usage event logging (see Privacy). |
LOG_LEVEL | info | Set debug for verbose stdio diagnostics. |
MCP_TRANSPORT | stdio | Set http for HTTP transport (advanced). |
~/.toolcairn/credentials.json (mode 0600, 90-day expiry)..toolcairn/{config.json, audit-log.jsonl, tracker.html} at each detected project root.The tracker.html file is a self-contained dashboard — open it in any browser to see every tool call, pending evaluation, and audit entry in real time.
Your sign-in lives at ~/.toolcairn/credentials.json and lasts 90 days. From inside your agent:
toolcairn_auth { action: "status" } # check current sign-in
toolcairn_auth { action: "logout" } # clear credentials
To re-authenticate, simply restart your agent — the sign-in flow opens automatically.
We're explicit about what leaves your machine.
Sent to ToolCairn (when tracking is enabled):
Stays local:
.toolcairn/audit-log.jsonl).Opt out at any time:
TOOLCAIRN_TRACKING_ENABLED=false
Tools still work normally; only the lightweight usage events are skipped.
Full privacy policy: toolcairn.neurynae.com/privacy.
Browser doesn't open for sign-in. Copy the URL printed to stderr and visit it manually; enter the device code shown.
`Module not found` or version errors. Confirm Node 22+ with node --version.
Behind a corporate proxy. Set HTTPS_PROXY — npx and the MCP server respect it.
Self-hosted backend. Set TOOLPILOT_API_URL=https://your-host.
Sign-in expired. Restart your agent — the device-code flow re-runs automatically.
Verbose logs. Set LOG_LEVEL=debug.
What is the agent doing? Open .toolcairn/tracker.html in your browser for an auto-refreshing dashboard of every tool call.
scanA standalone health scan that doesn't start the MCP server:
npx @neurynae/toolcairn-mcp scan [dir]
Reads dependency manifests in [dir] (default: current directory) — package.json, requirements.txt, pyproject.toml, Cargo.toml — and reports health, alternatives, and warnings for each declared dependency.
Add --json for machine-readable output.
security@neurynae.comIssues and feature requests are welcome at github.com/neurynae/toolcairn-mcp/issues.
The graph engine, search pipeline, and indexer are closed-source. This repository contains the public MCP client and project-config layer that runs on user machines.
MIT — © 2026 NEURYNAE. See [LICEN
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