Mcp server scaffolder
Skill imtiazrayhan/agentscamp-library/skills/mcp-server-scaffolder
Scaffold a new Model Context Protocol (MCP) server from a description — pick the SDK and transport, generate a typed first tool with a strict schema, and wire up MCP Inspector testing and the client-registration command. Use when starting a new MCP server and you want a correct, runnable skeleton instead of copying a README.From its SKILL.md
npx -y skills add imtiazrayhan/agentscamp-library --skill mcp-server-scaffolderAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
SKILL.md
3.8 KB, 758 tokens by cl100k_base, as published. Nobody here has run it
Starting an MCP server from a blog post means inheriting its mistakes — a vague tool description, a loose schema, the wrong transport for where it'll run. This skill scaffolds a correct, runnable server skeleton from a one-line description: it picks the SDK and transport for your case, generates a first tool that already follows the naming/schema/description discipline that makes a server usable, and leaves you with the exact commands to test and register it.
When to use this skill
- Starting a brand-new MCP server and you want a runnable skeleton with one good tool, not a pile of boilerplate.
- You know what the server should expose but want the transport choice, schema shape, and project layout decided correctly up front.
- Standing up a server to test an integration idea quickly, with Inspector testing already wired in.
Instructions
- Clarify the capability and where it runs. From the description, identify the first tool (one job, clearly named) and whether the server runs local (stdio) or remote/shared (Streamable HTTP). If it's ambiguous, default to stdio for a local prototype and note how to promote it to HTTP later.
- Pick the SDK and detect the ecosystem. Match the project's language: the official Python or TypeScript MCP SDK, or a higher-level framework like FastMCP for Python. Check for an existing project to slot into (package manager, lockfile, conventions) rather than scaffolding in isolation.
- Generate the server skeleton. Create the entrypoint, the transport setup (stdio or Streamable HTTP), and one tool with: a verb-object name, a description written as a routing signal (what it does, what it returns, when to use it), and a strict input schema (required vs. optional, enums, per-field descriptions). Stub the handler with a clear TODO and a concise, model-ready return shape.
- Wire in testing. Add the command to launch the MCP Inspector against the server (
npx @modelcontextprotocol/inspector ...) so the first thing the developer can do is connect, list the tool, and call it. - Emit the registration command. Provide the exact
claude mcp addinvocation (correct transport, scope, and any--envfor secrets) — or point to the Add MCP Server command — so the server can be connected to a client immediately. - Leave a clear extension path. Document where to add the next tool, resource, or prompt, and flag that a remote server still needs auth and stateless scaling before production (link the deploy guide).
[!TIP] Scaffold one good tool, not five mediocre ones. The first tool sets the pattern the rest of the server copies — get its name, schema, and description right and the server stays usable as it grows.
[!WARNING] A scaffold is a starting point, not a production server. The generated handler must still validate its inputs, and a remote (HTTP) server is not safe to expose until it has authentication and input validation — see Deploying a Remote MCP Server.
Output
A runnable MCP server skeleton: entrypoint and transport wired up, one well-shaped tool with a strict schema and routing-quality description, the Inspector test command, and the client-registration snippet — plus a short note on where to add the next capability and what hardening is still required before production.
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.