@4everland/hosting-mcp
MCP ServerFree4EVERLAND Hosting MCP Server Tool
Capabilities5 decomposed
4everland hosting deployment via mcp protocol
Medium confidenceEnables Claude and other MCP-compatible AI agents to deploy applications to 4EVERLAND hosting infrastructure by exposing deployment operations through the Model Context Protocol. Implements MCP server specification with tool definitions that map to 4EVERLAND's REST API endpoints, allowing agents to orchestrate deployments, manage projects, and configure hosting settings through standardized tool-calling interfaces without direct API knowledge.
Implements 4EVERLAND-specific MCP server that bridges AI agents directly to 4EVERLAND's hosting platform through standardized tool definitions, enabling Claude and other MCP clients to orchestrate deployments without custom integration code
Provides native MCP integration for 4EVERLAND hosting, whereas generic deployment tools require custom API wrappers or lack AI-agent-first design
mcp tool schema definition and registration for hosting operations
Medium confidenceDefines and registers MCP-compliant tool schemas that expose 4EVERLAND hosting capabilities (project creation, deployment, configuration) as callable functions. Implements the MCP tools specification with JSON schema definitions for each operation, parameter validation, and response formatting, allowing MCP clients to discover available hosting operations and invoke them with type-safe parameters.
Implements MCP tool schema registration specifically for 4EVERLAND hosting operations, with schema-driven parameter validation and discovery, enabling AI clients to understand and invoke hosting functions without hardcoded knowledge
More discoverable and type-safe than direct REST API calls, and more standardized than custom agent tool definitions
4everland api request translation and execution
Medium confidenceTranslates MCP tool invocations into 4EVERLAND REST API calls, handling authentication, request formatting, error mapping, and response transformation. Acts as an adapter layer that converts MCP tool parameters into properly formatted HTTP requests to 4EVERLAND endpoints, manages API credentials securely, and maps API responses back to MCP-compatible output formats.
Implements request translation layer that maps MCP tool invocations to 4EVERLAND REST API calls with built-in authentication and response transformation, abstracting API complexity from MCP clients
Cleaner than exposing raw 4EVERLAND API to agents, and more maintainable than embedding API logic in agent prompts
project and deployment lifecycle management through mcp
Medium confidenceExposes 4EVERLAND project and deployment lifecycle operations (create project, deploy, update configuration, check status, list deployments) as MCP tools. Enables agents to manage the full deployment workflow including project initialization, code deployment, environment configuration, and status monitoring, with each operation mapped to corresponding 4EVERLAND API endpoints.
Exposes 4EVERLAND's full project and deployment lifecycle as composable MCP tools, allowing agents to orchestrate multi-step deployment workflows without manual intervention
More comprehensive than simple deployment triggers, and more agent-friendly than requiring manual API calls
environment variable and configuration management via mcp
Medium confidenceProvides MCP tools for managing project environment variables and configuration settings on 4EVERLAND, allowing agents to set, update, and retrieve environment-specific configurations. Implements secure parameter handling for sensitive values (API keys, secrets) and maps configuration operations to 4EVERLAND's configuration management endpoints.
Provides MCP-native environment and configuration management for 4EVERLAND projects, enabling agents to handle sensitive configuration without exposing secrets in prompts or logs
More secure than embedding secrets in deployment scripts, and more flexible than static configuration files
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
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Best For
- ✓developers building AI agents that need hosting deployment capabilities
- ✓teams using Claude with MCP for infrastructure automation
- ✓4EVERLAND users wanting AI-assisted deployment workflows
- ✓MCP client developers integrating 4EVERLAND hosting
- ✓AI agent builders needing discoverable hosting tool definitions
- ✓teams standardizing on MCP for infrastructure operations
- ✓MCP server implementers needing API translation patterns
- ✓teams managing 4EVERLAND credentials in AI agent contexts
Known Limitations
- ⚠Limited to 4EVERLAND platform only — no multi-cloud deployment support
- ⚠Requires MCP-compatible AI client (Claude, or custom MCP clients) — cannot be used standalone
- ⚠No built-in state persistence for deployment history — relies on external logging
- ⚠Tool definitions likely map 1:1 to 4EVERLAND API endpoints, limiting abstraction and error recovery
- ⚠Schema definitions are static — no dynamic schema generation based on 4EVERLAND API changes
- ⚠Parameter validation occurs at MCP level only — no deep semantic validation of deployment configs
Requirements
Input / Output
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4EVERLAND Hosting MCP Server Tool
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