Agent skill · software engineering · alirezarezvani
mcp-server-builder
Use when exposing an API as an MCP server or scaffolding a new MCP server in Python or TypeScript, before hand-writing tool wrappers. Generates tools from OpenAPI with openapi_to_mcp.py and validates them with mcp_validator.py.
Why this skill is useful
Adds 2 executable scripts for generating and validating MCP servers from OpenAPI specs, which are not commonly found in public documentation.
What it needs
Requires python installed locally. About 2k tokens when loaded. Last updated 2026-08-05. 23,939 stars on the source repository.
What this skill does
MCP Server Builder Tier: POWERFUL · Category: Engineering · Domain: AI / API Integration Overview Use this skill to design and ship production-ready MCP servers from API contracts instead of hand-written one-off tool wrappers. It focuses on fast scaffolding, schema quality, validation, and safe evolution. The workflow supports both Python and TypeScript MCP implementations and treats OpenAPI as the source of truth. Core Capabilities Convert OpenAPI paths/operations into MCP tool definitions Generate starter server scaffolds (Python or TypeScript) Enforce naming, descriptions, and schema consistency Validate MCP tool manifests for common production failures Apply versioning and backward-compatibility checks Separate transport/runtime decisions from tool contract design When to Use You need to expose an internal/external REST API to an LLM agent You are replacing brittle browser automation with typed tools You want one MCP server shared across teams and assistants You need repeatable quality checks before publishing MCP tools You want to bootstrap an MCP server from existing OpenAPI specs Key Workflows 1. OpenAPI to MCP Scaffold 1. Start from a valid OpenAPI spec. 2. Generate tool manifest + starter server code. 3. Review naming and auth strategy. 4. Add endpoint-specific runtime logic. Supports stdin as well: 2. Validate MCP Tool Definitions Run validator before integration tests: Checks include duplicate names, invalid schema shape, missing descriptions, empty required fields, and naming hygiene. 3. Runtime Selection Choose Python for fast iteration and data-heavy backends. Choose TypeScript for unified JS stacks and tighter frontend/backend contract reuse. Keep tool contracts stable even if transport/runtime changes. 4. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills alirezarezvani/mcp-server-builder--54f04a