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mcp-server-builder
Use when exposing a REST API as an MCP server, building Claude/Codex/Cursor tool integrations, or scaffolding an MCP project from OpenAPI. Python, TypeScript, schema validation, safe evolution.
About this skill
Use when exposing a REST API as an MCP server, building Claude/Codex/Cursor tool integrations, or scaffolding an MCP project from OpenAPI. Python, TypeScript, schema validation, safe evolution.
SKILL.md
mcp-server-builder.SKILL.mdPlace it in your Syntic skills folder. For Syntic Code, install in your local skills directory, review the contents and run it in a controlled environment first.
--- name: mcp-server-builder description: Use when exposing a REST API as an MCP server, building Claude/Codex/Cursor tool integrations, or scaffolding an MCP project from OpenAPI. Python, TypeScript, schema validation, safe evolution. category: Engineering version: 1.0.0 tools: [] --- # MCP Server Builder **Category:** Engineering · **Domain:** AI / API Integration Design and ship production-ready MCP servers from OpenAPI contracts instead of hand-written one-off tool wrappers. The focus is fast scaffolding, schema quality, validation, and safe evolution — for both Python and TypeScript implementations, with OpenAPI treated as the source of truth. ## Core Capabilities - Convert OpenAPI paths/operations into MCP tool definitions - Plan starter server scaffolds (Python or TypeScript) - Enforce naming, description, and schema consistency - Check MCP tool manifests for common production failures - Apply versioning and backward-compatibility rules - Separate transport/runtime decisions from tool contract design ## When to Use - Exposing an internal or external REST API to an LLM agent - Replacing brittle browser automation with typed tools - Sharing one MCP server across teams and assistants - Running repeatable quality checks before publishing MCP tools - Bootstrapping an MCP server from an existing OpenAPI spec ## OpenAPI-to-MCP Method 1. Start from a valid OpenAPI spec as the source of truth. 2. Map each path/operation to an MCP tool definition: tool name, description, and a JSON-schema input/output derived from the OpenAPI schema. 3. Choose a runtime — Python for fast iteration and data-heavy backends, TypeScript for unified JS stacks and tighter frontend/backend contract reuse. Keep the tool contract stable even if the runtime changes later. 4. Decide the naming and auth strategy before drafting server code. 5. Layer endpoint-specific runtime logic on top of the base scaffold. ## Validating Tool Definitions Before treating a manifest as ready, check for: duplicate tool names, invalid schema shape, missing descriptions, empty required fields, and naming hygiene issues. Treat any of these as a blocker rather than a warning — a manifest with duplicate names or missing descriptions confuses the calling model instead of failing loudly. ## Hardening for Production - Keep secrets in environment variables, never in tool schemas - Prefer outbound host allowlists over open proxies - Use additive-only evolution: add new tools or fields, but never rename or repurpose an existing tool name in place — that silently breaks every agent that already learned it - Version the tool contract independently from the transport/runtime implementation Present the resulting manifest, scaffold plan, and validation findings directly in the chat as structured markdown/code blocks; if the work spans multiple concerns (API design, auth, deployment), @mention a teammate to split the review.
Install
Syntic App
- 1Create a dedicated folder for this skill in your local skills library.
- 2Place SKILL.md into that folder.
- 3Restart Syntic and invoke this skill on matching tasks.
Syntic Code (CLI)
- 1Save SKILL.md in your local Syntic Code skills directory.
- 2Keep related files in the same skill folder.
- 3Run in a safe environment and validate outputs.