@restforge-dev/mcp-server

@restforge-dev/mcp-server

MCP server that exposes RESTForge capabilities to AI agents, enabling them to set up, configure, generate code, and manage RESTForge projects through natural language.

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@restforge-dev/mcp-server

MCP (Model Context Protocol) server for the RESTForge framework. Exposes RESTForge capabilities to AI Agents (Claude Desktop, Cursor, Claude CLI, and other MCP clients) so agents can operate RESTForge through natural language without manually invoking CLI commands.

Requirements

  • Node.js >= 18
  • npm >= 9
  • For full setup workflow: PostgreSQL / MySQL / Oracle / SQLite, RESTForge license key

Installation

npm install -g @restforge-dev/mcp-server

After installation, the restforge-mcp command is available in PATH.

Quick Start

1. Verify Install

echo '{"jsonrpc":"2.0","id":1,"method":"tools/list"}' | restforge-mcp

Output should list 29 tools across the health_*, setup_*, codegen_*, and runtime_* domains.

2. Register with MCP Client

Claude CLI (user scope, applies to all projects):

claude mcp add --transport stdio --scope user restforge -- restforge-mcp

Cursor (.cursor/mcp.json in project root):

{
  "mcpServers": {
    "restforge": {
      "command": "restforge-mcp"
    }
  }
}

Claude Desktop (claude_desktop_config.json):

{
  "mcpServers": {
    "restforge": {
      "command": "restforge-mcp"
    }
  }
}

3. Use via Natural Language

In your AI client chat, type prompts like:

Setup a new RESTForge project at d:/projects/api-test with PostgreSQL on localhost:5432, license XXXX-XXXX-XXXX-XXXX

Generate a CRUD endpoint for the customer table

Run my RESTForge server (the agent generates a launcher script for the user to execute)

The agent orchestrates the appropriate tools to fulfill the request end-to-end.

Available Tools

29 tools organized by domain. AI agents call these via the MCP protocol; end users do not invoke them directly.

Health Domain (1 tool)

Tool Description
health_ping Smoke test MCP transport. Returns pong + ISO timestamp + server version

Setup Domain (9 tools)

Tool Description
setup_create_folder Create a new project folder for RESTForge
setup_install_package Install restforgejs into the project's node_modules via npm
setup_init_config Generate skeleton config and sample payloads via restforge-cli init
setup_write_env Write config/db-connection.env with license, server, and database settings
setup_read_env Read current values from config/db-connection.env
setup_update_env Update individual fields in config/db-connection.env
setup_validate_config Validate license and connections to database, redis, and kafka
setup_get_config_schema Get JSON schema of all 63 parameters available in db-connection.env
setup_get_init_template Get raw db-connection.env template content

Codegen Domain (13 tools)

Tool Description
codegen_list_tables List all tables in the project's database (live introspection)
codegen_describe_table Describe columns, primary key, and foreign keys of a specific table
codegen_generate_payload Generate payload JSON from a database table
codegen_validate_payload Validate payload JSON structure and constraints
codegen_validate_dashboard_payload Validate dashboard payload structure
codegen_diff_payload Diff payload JSON against the database schema
codegen_sync_payload Sync payload JSON with the database schema
codegen_create_endpoint Scaffold an endpoint module from a payload spec
codegen_create_dashboard Scaffold a dashboard module from a payload spec
codegen_validate_sql Validate a SELECT or WITH (CTE) SQL statement via EXPLAIN against the live database
codegen_get_field_validation_catalog Get the field validation catalog (for grounding payload constraints)
codegen_get_query_declarative_catalog Get the query declarative catalog (for grounding query JSON)
codegen_get_dashboard_catalog Get the dashboard widget catalog (for grounding dashboard config)

Runtime Domain (6 tools)

Tool Description
runtime_detect_project Scan src/modules/*.js to list project names
runtime_detect_config Scan config/*.env to list available config files
runtime_validate_preflight Validate config + check PID file + check port availability before launch
runtime_check_launcher_exists Check if launcher files (server-start.bat/.sh, ecosystem.config.js) exist in the project root
runtime_generate_launcher Generate server-start.bat/.sh + server-stop.bat/.sh (and ecosystem.config.js for PM2 mode)
runtime_check_status Detect if the server is running (host or PM2 mode) with optional HTTP health probe

Runtime principle: AI agents never start, stop, or restart the server directly. The runtime tools only generate launcher scripts that the user executes themselves, so the running server lives independently of the AI session.

Compatibility

This MCP server works with any MCP client that supports the stdio transport, including but not limited to:

  • Claude Desktop
  • Claude CLI (Claude Code)
  • Cursor
  • Windsurf
  • Cline (VS Code extension)
  • Continue (VS Code/JetBrains extension)
  • Zed

The model used (Claude, GPT, Gemini, etc.) depends on the client configuration. Tool selection accuracy is best with frontier models that have mature tool-calling support.

Repository

License

MIT — see LICENSE.md.

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