Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Descripción del creador (original en inglés)
MCP server for tool discovery: find, compare, and verify tools across 35+ registries.
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
Necesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"toolcairn": {
"command": "npx",
"args": [
"-y",
"@neurynae/toolcairn-mcp"
]
}
}
}Ejecuta esto en tu terminal
claude mcp add toolcairn -- npx -y @neurynae/toolcairn-mcpPégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"toolcairn": {
"command": "npx",
"args": [
"-y",
"@neurynae/toolcairn-mcp"
]
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"toolcairn": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@neurynae/toolcairn-mcp"
]
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 8 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub neurynae, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez –, y la última versión (1.0.0) llegó al registro hace 6 meses.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js en tu computadora.
En la misma categoría: Spec Driven Development, Remote Desktop Commander, NexusWindows
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
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.
Windows computer use in the background: desktop apps driven without your mouse or keyboard.
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
@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
Solo se muestra el principio; lee el resto en el repo