4everhosting-mcpserver
MCP ServerFree4EVERLAND Hosting MCP Server Tool
Capabilities5 decomposed
4everland hosting deployment via mcp protocol
Medium confidenceEnables Claude and other MCP-compatible clients to deploy applications to 4EVERLAND hosting infrastructure by translating natural language deployment requests into 4EVERLAND API calls. Implements the Model Context Protocol as a server that exposes 4EVERLAND-specific tools, allowing AI agents to orchestrate deployments without direct API knowledge or credential management in client code.
Implements 4EVERLAND-specific MCP server that bridges conversational AI (Claude) directly to 4EVERLAND's hosting API, using MCP's standardized tool-calling protocol to abstract away API complexity and credential handling from the client layer.
Provides native 4EVERLAND integration through MCP (vs. manual API calls or generic deployment tools), enabling AI agents to deploy without custom integrations while maintaining credential isolation at the server level.
mcp tool schema exposure for 4everland operations
Medium confidenceExposes 4EVERLAND hosting operations (deploy, list projects, check status, etc.) as standardized MCP tools with JSON schemas that MCP clients can discover and invoke. The server implements MCP's tool registry pattern, allowing clients to introspect available operations, their parameters, and return types before execution, enabling safe tool composition and error handling in agent workflows.
Implements MCP's standardized tool registry pattern specifically for 4EVERLAND, allowing clients to discover and validate operations through JSON Schema before execution, rather than relying on documentation or trial-and-error.
Provides schema-driven tool discovery (vs. unstructured API documentation), enabling AI clients to safely compose multi-step workflows with validation and error handling built in.
credential-isolated 4everland api authentication
Medium confidenceManages 4EVERLAND API credentials at the MCP server level, accepting credentials once during initialization and using them to authenticate all subsequent API calls on behalf of MCP clients. This pattern isolates sensitive credentials from client code and prevents credential leakage through chat logs or client-side storage, implementing a credential proxy pattern where the server acts as a trusted intermediary.
Implements a credential proxy pattern where the MCP server holds 4EVERLAND credentials and authenticates API calls server-side, preventing credentials from being passed through MCP client requests or exposed in chat logs.
Isolates credentials at the server layer (vs. client-side credential management), reducing exposure surface and enabling safe multi-user deployments without sharing secrets through chat interfaces.
project deployment orchestration to 4everland
Medium confidenceOrchestrates the deployment workflow for applications to 4EVERLAND, accepting deployment requests with repository/application metadata and translating them into 4EVERLAND API calls that handle build, configuration, and hosting setup. The server manages the deployment lifecycle, polling deployment status, and returning deployment URLs and configuration details to the client, abstracting away 4EVERLAND's internal deployment state machine.
Implements deployment orchestration as an MCP tool that abstracts 4EVERLAND's deployment state machine, handling polling, status tracking, and result aggregation server-side so clients receive a simple request-response interface rather than managing async deployment lifecycle.
Provides synchronous deployment interface (vs. manual 4EVERLAND dashboard polling), enabling AI agents to deploy and immediately retrieve deployment URLs without client-side async state management.
project listing and status querying for 4everland deployments
Medium confidenceProvides tools to list all projects deployed to 4EVERLAND and query their current status, build history, and deployment metadata. The server queries 4EVERLAND's project API and aggregates results into structured data that MCP clients can parse and present to users, enabling visibility into deployment history and current application state without requiring direct 4EVERLAND dashboard access.
Exposes 4EVERLAND's project and deployment status APIs through MCP tools, aggregating project metadata and status into structured data that MCP clients can query and present without requiring users to access the 4EVERLAND dashboard.
Provides conversational access to deployment status (vs. manual dashboard navigation), enabling AI agents to monitor and report on deployments as part of larger workflows.
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
Related Artifactssharing capabilities
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@4everland/hosting-mcp
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@4everland/4ever-mcpserver
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Best For
- ✓AI agent developers building deployment automation workflows
- ✓Teams using Claude with MCP integration for infrastructure management
- ✓4EVERLAND users seeking hands-free deployment through conversational AI
- ✓DevOps engineers building multi-tool orchestration systems around MCP
- ✓MCP client developers building tool discovery and composition systems
- ✓AI agent builders who need introspectable tool definitions for workflow planning
- ✓Teams implementing safety guardrails that validate tool calls against schemas before execution
- ✓Teams deploying MCP servers in shared environments (Slack bots, shared Claude instances)
Known Limitations
- ⚠Requires 4EVERLAND account and valid API credentials to function
- ⚠Limited to 4EVERLAND hosting platform — cannot deploy to other cloud providers
- ⚠MCP protocol support depends on client implementation (Claude, custom tools) — not all AI clients support MCP
- ⚠No built-in deployment validation or rollback mechanisms — relies on 4EVERLAND's native capabilities
- ⚠Minimal package downloads (8) suggest early-stage adoption and potential stability concerns
- ⚠Schema exposure is static at server startup — dynamic 4EVERLAND API changes require server restart
Requirements
Input / Output
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4EVERLAND Hosting MCP Server Tool
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