Mcp Server Scaffolder

    1

    Scaffold a production-ready MCP server from a plain-English tool description — Python (FastMCP) or TypeScript SDK, with auth, errors, and packaging.

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    Works with the AI Agents you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+22 more

    About this skill

    Everyone agrees agents need tools; almost nobody ships them cleanly. Most hand-rolled MCP servers start as a weekend script and calcify into an unauthenticated, undebuggable liability. This skill turns a plain-English description of the tools you want ("let my agent query our Postgres warehouse and post to Slack") into a production-ready MCP server scaffold — your choice of Python (FastMCP) or the TypeScript SDK — with authentication, structured errors, logging, and packaging done right from the first commit.

    To take a natural-language description of desired agent tools and produce a complete, runnable MCP server project: tool definitions with JSON schemas, an auth layer, consistent error envelopes, request logging, a test harness, and deployment packaging (Dockerfile + README). The output is code a senior engineer would not be embarrassed to merge — not a demo snippet.

    • When you need to give Claude Code, Cursor, or any MCP client access to an internal API, database, or service.

    • When prototyping an agent integration and you want the scaffold to survive contact with production (auth, retries, observability) instead of being rewritten later.

    • When standardizing how your team builds MCP servers — one scaffold shape, every time.

    • When converting an existing ad-hoc script ("that Python file that hits the warehouse") into a proper MCP tool.

    • When the "tool" is a single stateless function with no auth — a one-file script is fine; do not scaffold a server for it.

    • When you need a hosted/remote MCP server with OAuth for third-party users — this skill scaffolds the server code; the OAuth client flow for connectors is covered by oauth-connector-blueprint.

    • When wrapping a REST API you did not design — use rest-api-to-mcp-wrapper instead, which generates tools from an OpenAPI spec automatically.

    • For MCP clients (building the agent side) — this skill builds the server side only.

    How to use

    Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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    Requires

    Rest Api To Wrapper MCP
    Python

    Listed1 day ago

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