mcp-cloud-deploy
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| deploy_to_vercelA | Deploy a project to Vercel (frontend, fullstack, or API). Supports Next.js, Vite, Nuxt, SvelteKit, and more. Requires a Vercel API token. |
| deploy_to_railwayA | Deploy a project to Railway with optional database plugins (PostgreSQL, Redis, MongoDB). Railway handles the full stack. Requires a Railway API token. |
| provision_neon_databaseA | Create a serverless PostgreSQL database on Neon. Supports schema application and migration commands. Requires a Neon API key. |
| provision_mongodbA | Create a MongoDB Atlas cluster with database and user. Supports free tier (M0) through dedicated clusters. Requires MongoDB Atlas API keys (public + private). |
| deploy_docker_localA | Deploy the project locally using Docker/Docker Compose. Auto-generates Dockerfile and docker-compose.yml. Can include PostgreSQL, MongoDB, and Redis containers. Requires Docker to be installed and running. |
| deploy_localA | Start the project locally as a native development server. Auto-detects project type (Node.js, Python, Go, Rust) and runs the appropriate dev command. Handles dependency installation, migrations, and seeding. |
| orchestrate_deployA | Orchestrate a full-stack deployment combining multiple services. Targets: vercel+neon, vercel+mongodb, railway-fullstack, docker-local, local. Provisions databases and deploys apps with all environment variables connected automatically. |
| check_deploy_prerequisitesA | Check which deployment CLIs are installed and available. Shows status of: vercel, railway, neonctl, atlas, docker, docker-compose, git, node, npm. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 8 tools
Each tool targets a distinct action and target: deploy to specific cloud providers, provision specific database types, local deployment modes, orchestration, and prerequisites checking. While deploy_to_vercel and deploy_to_railway share the deploy action, their distinct target platforms and descriptions eliminate ambiguity.
Most tools follow a clear verb_noun pattern (provision_neon_database, orchestrate_deploy, check_deploy_prerequisites). Minor inconsistency: deploy_to_vercel and deploy_to_railway use 'to_' while deploy_docker_local and deploy_local omit it, but the patterns remain predictable and readable.
8 tools is well-scoped for a deployment/provisioning server. Each tool covers a necessary part of the deployment lifecycle—cloud deploy, database provisioning, local deploy, orchestration, and prerequisites—without redundancy or bloat.
The tool set covers core deployment workflows: cloud deploy, database provisioning, local deployment (Docker and native), multi-service orchestration, and environment checks. Minor gaps include no teardown/destroy or status/listing tools, but these are not essential for the stated purpose.