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@forgespace/ui-mcp

@forgespace/ui-mcp

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by Forge-Space
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TypeScript
Remote

scaffold_backend

Generate a production-ready backend scaffold with Express or Next.js, including configurable auth, database, API docs, caching, and more.

Instructions

Generate a complete production-ready backend project scaffold. Supports Express and Next.js with configurable features: auth (JWT/OAuth/Session), database (Prisma/Drizzle), API docs (Swagger), monitoring (Sentry), caching (Redis), and more. Includes TypeScript, testing, and CI/CD setup.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "projectName": "<projectName>",
      "framework": "<framework>",
      "features": "<features>"
    },
    "name": "scaffold_backend"
  }
}

Input Schema

NameRequiredDescriptionDefault
projectNameYesProject name (e.g., "my-api", "ecommerce-backend")
frameworkYesBackend framework
featuresYesFeatures to include in the scaffold
databaseNoDatabase ORM (required if "database" feature is selected)
authNoAuthentication strategy (required if "auth" feature is selected)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.25.0

TDQS

A3.6/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must disclose behavioral traits. It mentions 'production-ready' and configurable features but omits side effects (e.g., file creation, dependency installation), prerequisites (e.g., Node.js), and potential overwrites.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, dense sentence that front-loads the purpose. It includes key details without verbosity, but could benefit from a more structured format (e.g., bullet points for features).

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has 5 parameters and no output schema, the description covers purpose and options but lacks usage guidelines, prerequisites, and what happens after generation. It is adequate but not comprehensive.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the schema already describes all parameters. The description adds context about features like auth, database, and API docs but does not significantly enhance meaning beyond the schema's enum descriptions. Baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('Generate') and resource ('complete production-ready backend project scaffold'), and lists supported frameworks and features, clearly distinguishing it from sibling tools like generate_backend_module or generate_api_route.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description does not explicitly state when to use this tool versus alternatives. While it implies use for new projects, it lacks guidance on prerequisites, when not to use it, or how it compares to sibling tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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