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@Tsdevstack/Cli

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MCP server plugin for the tsdevstack CLI, enabling AI agents to manage infrastructure, deployment, and project state with 54 tools and 12 resources.

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About

MCP server plugin for the tsdevstack CLI, enabling AI agents to manage infrastructure, deployment, and project state with 54 tools and 12 resources.

README

MCP (Model Context Protocol) server plugin for the tsdevstack CLI. Exposes 54 tools and 12 resources so AI agents like Claude can understand and assist you with the framework, the infrastructure, deployment flows and querying the project state.

Features

  • 54 MCP Tools — 13 read-only queries + 41 actions covering the full tsdevstack CLI surface
  • 12 MCP Resources — project state, secrets context, Kong routes, and framework guides
  • Stdio Transport — connects via stdin/stdout for IDE and agent integration
  • Zod Validation — all tool inputs validated with schemas
  • MCP Annotations — tools include readOnlyHint, destructiveHint, and idempotentHint metadata

Installation

npm install @tsdevstack/cli-mcp

Requires tsdevstack as a peer dependency.

Usage

As a CLI plugin

The MCP server registers as a plugin with the tsdevstack CLI:

import { initContext, registerMcpPlugin } from '@tsdevstack/cli-mcp';

// Initialize with CLI plugin context
initContext(pluginContext);

// Register the mcp:serve command
registerMcpPlugin(program);

Starting the server

npx tsdevstack mcp:serve

This starts the MCP server over stdio transport, ready for AI agent connections.

Claude Code integration

Add to your .mcp.json:

{
  "mcpServers": {
    "tsdevstack": {
      "command": "npx",
      "args": ["tsdevstack", "mcp:serve"]
    }
  }
}

Tools

Query tools (read-only)

Tool Description
list_services List all services with types and ports
list_environments List configured cloud environments
get_project_config Full project configuration
get_infrastructure_config Per-environment infrastructure settings
get_service_status Cloud resource status for a service
list_deployed_services All deployed services in an environment
list_secrets Secret names in cloud (not values)
diff_secrets Compare local vs cloud secrets
get_secret Get a single secret value
list_schedulers Scheduled jobs and status
plan_db_migrate Preview pending database migrations
infra_plan Terraform plan preview
infra_status Infrastructure sync status

Action tools — local

Tool Description
sync Regenerate all local config
generate_secrets Regenerate local secrets files
generate_kong Regenerate Kong gateway config
generate_docker_compose Regenerate docker-compose.yml
add_service Add a new service (nestjs, nextjs, spa)
remove_service Remove a service from the project
generate_client Generate TypeScript HTTP client from OpenAPI
add_bucket_storage Add an object storage bucket
remove_bucket_storage Remove an object storage bucket
add_messaging_topic Add a messaging topic to config
remove_messaging_topic Remove a messaging topic from config
update_messaging_topic Update publishers/subscribers for a topic
register_detached_worker Register a detached worker in config
unregister_detached_worker Remove a worker from config

Action tools — cloud

Tool Description
cloud_secrets_push Push secrets to cloud
cloud_secrets_set Set a single cloud secret
cloud_secrets_remove Remove a cloud secret
infra_deploy Full infrastructure deployment
deploy_services Deploy code changes to services
deploy_service Build + push + deploy a single service
deploy_kong Rebuild and deploy Kong gateway
deploy_lb Deploy/update load balancer
run_db_migrate Apply pending database migrations
deploy_schedulers Deploy all scheduled jobs
deploy_scheduler Deploy a single scheduled job
remove_service_cloud Remove a service from cloud
remove_detached_worker Remove a worker from cloud
infra_destroy Destroy all cloud infrastructure

Action tools — setup & CI

Tool Description
cloud_init Initialize cloud provider credentials
infra_bootstrap Bootstrap cloud project
infra_init Initialize Terraform state
infra_generate Generate Terraform files
infra_generate_docker Generate Dockerfiles
infra_build_docker Build Docker images
infra_push_docker Push Docker images to registry
infra_generate_kong Generate Kong declarative config
infra_build_kong Build Kong Docker image
infra_init_ci Initialize CI/CD workflows
infra_generate_ci Regenerate CI workflows
validate_service Validate service structure
remove_scheduler Remove a scheduled job from cloud

Resources

Resource Description
Project state (8) Services list, environments, config, infrastructure settings, deployed services, secrets, schedulers, migration status
Secrets context Local and cloud secret names with diff
Kong routes Current gateway routing configuration
Guides (4) Framework guide, workflow guide, nest-common guide, config guide

Architecture

The MCP server is a thin layer over the tsdevstack CLI:

  • Query tools either read local config files directly or wrap npx tsdevstack commands
  • Action tools delegate to runCommand() which spawns npx tsdevstack <command> as a child process
  • Resources read project files and provide contextual documentation

Community

Join the Discord: discord.gg/2EMFkqc8QR

License

Apache-2.0

from github.com/tsdevstack/cli-mcp

Installing @Tsdevstack/Cli

This server has no published package — it is built from source. Open the repository and follow its README.

▸ github.com/tsdevstack/cli-mcp

FAQ

Is @Tsdevstack/Cli MCP free?

Yes, @Tsdevstack/Cli MCP is free — one-click install via Unyly at no cost.

Does @Tsdevstack/Cli need an API key?

No, @Tsdevstack/Cli runs without API keys or environment variables.

Is @Tsdevstack/Cli hosted or self-hosted?

Self-hosted: the server runs locally on your machine via the install command above.

How do I install @Tsdevstack/Cli in Claude Desktop, Claude Code or Cursor?

Open @Tsdevstack/Cli on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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