Server data from the Official MCP Registry
Turns vague automation requests into tool stacks, prompts, QA checks, and human boundaries.
Turns vague automation requests into tool stacks, prompts, QA checks, and human boundaries.
Remote endpoints: streamable-http: https://no-shell-agent-architect-mcp.vercel.app/api/mcp
This is a well-structured MCP server for automation workflow design with clean code architecture and proper input validation. The server has no authentication requirements (appropriate for a public planning tool), uses safe dependency versions, and implements comprehensive input validation via Zod schemas. Permissions are appropriately scoped for its purpose as a developer tool that provides recommendations and audits without accessing external systems or user data. Supply chain analysis found 6 known vulnerabilities in dependencies (1 critical, 1 high severity).
7 files analyzed · 10 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Available as Local & Remote
This plugin can run on your machine or connect to a hosted endpoint. during install.
From the project's GitHub README.
An open-source operating pack for people who already use AI agents but keep getting "empty-shell automation": files, buttons, or dashboards that look finished but do not actually run a real workflow.
This is not a prompt-pack that promises magic. It is a plain-language operating system for delegating work to ChatGPT, Claude, Codex, Gemini, Hermes, and similar agents with a real objective, inputs, tool choice, validation, recovery, and human boundary.
This repository now also ships a remote MCP/API product: No-Shell Agent Architect MCP.
It takes a plain-language automation goal and returns:
Local API preview:
npm install
npm run dev
Then open:
http://localhost:3000
Remote MCP endpoint after deployment:
https://no-shell-agent-architect-mcp.vercel.app/api/mcp
Live demo:
https://no-shell-agent-architect-mcp.vercel.app
Launch kit:
https://no-shell-agent-architect-mcp.vercel.app/launch
Official MCP Registry:
https://registry.modelcontextprotocol.io/v0/servers?search=no-shell-agent-architect-mcp
Client config:
{
"mcpServers": {
"no-shell-agent-architect": {
"url": "https://no-shell-agent-architect-mcp.vercel.app/api/mcp"
}
}
}
free/ai_automation_failure_diagnostic_card.md.demo/before_after_email_document_demo.md.delivery/01_customer_intake.md to describe one real workflow.delivery/02_tool_router.md.delivery/03_command_cards.md.delivery/04_result_scorecard.md.delivery/05_recovery_playbook.md.landing/index.htmlpdf/free-diagnostic-card.pdfpdf/before-after-demo.pdfdist/no-shell-agent-operating-pack-starter-v1.zipdist/no-shell-agent-operating-pack-workbench-v1.zipoutreach/validation_tracker.csvRun the package selfcheck:
npm run selfcheck
npm run test
npm run build
Expected result:
PASS package selfcheck
PASS mcp product selfcheck
The selfcheck verifies required files, rendered PDF/PNG artifacts, ZIP contents, landing copy, README/manifest, validation-tracker fields, MCP metadata, tool coverage, and secret-pattern safety.
Launch copy, community drafts, Product Hunt copy, Show HN copy, Reddit/LinkedIn/X drafts, and directory submission text live in docs/LAUNCH_KIT.md.
This repository is public and open source. It is early-stage and still needs real external validation. The local package is complete enough to show to users, but market demand is not proven until the 20-person validation tracker has real responses.
No payment connection, storefront publish, account login, secret, or private customer data is included in this repository.
MIT. See LICENSE.
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