agentleFS
jgobuildsjgobuilds/ai-standards-public/skills/build-mcp-server/SKILL.md

build-mcp-server

Skill0 starsChanged 3 months agoAGPL-3.0View on GitHub

Build, review, or fix an MCP (Model Context Protocol) server so an agent can call a new capability. Use whenever the user wants to "give the agent a tool", "wire up an MCP", "connect <service> to Claude", "make an MCP server", asks why an agent is not calling a tool, or is about to hand-write JSON-RPC. Covers the adopt-vs-generate-vs-write decision, the tool-surface conventions that decide whether a model actually uses the tool correctly, the failure-reporting rules, the egress declaration, and the conformance gate (scripts/mcp_smoke.py). Run it BEFORE writing a server, not after.

We split this skill into the rules it gives an agent

4 rules. 0 are common, 4 are distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 12 edited versions we read keep these.

  • 4

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

Licensed with conditions — read it at the source. We count its rules but don't quote them. Read them on GitHub.

“Common” is measured: kept by at least 6 in 10 of the 12 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.