agentleFS
RonnasaydRonnasayd/aipp/skills/everything-claude-code/mcp-server-patterns/SKILL.md

mcp-server-patterns

Skill1 starsChanged 33 days agoNo licenceView on GitHub

Build MCP servers with Node/TypeScript SDK — tools, resources, prompts, Zod validation, stdio vs Streamable HTTP. Use Context7 or official MCP docs for latest API. Use when building or debugging an MCP server — tools, resources, prompts, validation, or transport choice.

  • Installs packages

34 other projects use a version of this, 30 of them edited.

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Most recently taken up by

Used with

Projects with it also use everything-claude-code-conventions, agent-sort and 7 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
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    Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

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    Use after benchmark-methodology has produced scored competitor profile cards. Assembles findings into a decision-grade report: landscape map, competitor profiles, benchmarking matrix, white-space analysis, strategic recommendations, and team alignment trigger questions. Final step in the three-skill competitive pipeline.

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  • niloykumarbarmanSkill

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  • mturacSkill

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    Also in 4 projects that use this

  • +2 more from ysyecust

The file

We split this skill into the rules it gives an agent

5 rules. 4 are common, 0 are distinctive, and 1 is very specific to this project.

  • 4

    Common

    Most of the 32 edited versions we read keep these.

  • 0

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

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

No licence file, so all rights are reserved — 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 32 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.

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

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Your trail

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

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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.