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@niklaserik/effect MCP Server

@niklaserik

リポジトリ

基本情報

カテゴリ

その他

ライセンス

MIT

トランスポート

stdio

作者

niklaserik

@niklaserik/effect MCP Server について

A mcp server for fetching the Effect-ts documentation

@niklaserik/effect MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "effect-mcp": {
      "command": "node",
      "args": [
        "dist/index.js",
        "#",
        "stdio",
        "transport"
      ]
    }
  }
}

@niklaserik/effect MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is @niklaserik/effect-mcp?

It is a Model Context Protocol (MCP) server that fetches the most current documentation from the Effect ecosystem. It integrates with AI assistants and tools like VS Code to provide real-time access to Effect package documentation for developers.

How to use @niklaserik/effect-mcp?

Install via pnpm add @niklaserik/effect-mcp, then build and run the server (node dist/index.js) over stdio transport. Connect with an MCP client (e.g., VS Code or MCP Inspector) and list resources or call tools like effect-documentation or effect-doc-links.

Key features of @niklaserik/effect-mcp

  • Real-time documentation access for Effect ecosystem
  • Supports both stable and experimental packages
  • Context-aware package detection based on imports
  • Seamless integration with VS Code and MCP clients
  • In-memory TTL cache (~10 minutes)
  • Lightweight retry on transient fetch errors

Use cases of @niklaserik/effect-mcp

  • Query an AI assistant for up-to-date API documentation on an Effect package
  • Automatically retrieve relevant docs for imported Effect packages in a code editor
  • Fetch documentation for multiple Effect libraries at once for a quick reference
  • Get plain documentation URIs to follow in a browser or other client

よくある質問

1

How does the server fetch documentation?

It fetches documentation in real time directly from the Effect ecosystem, using an in-memory TTL cache (~10 minutes) to avoid refetching unchanged docs.

2

What transport does the server use?

It uses stdio transport by default and can be adapted to Streamable HTTP if needed.

3

Which Effect packages does it support?

It supports a curated list including `effect`, `@effect/platform`, `@effect/sql`, `@effect/vitest`, `@effect/ai`, `@effect/cli`, `@effect/cluster`, `@effect/rpc`, and `@effect/typeclass`.

4

Are there any runtime requirements?

The server requires Node.js, pnpm, and the `@modelcontextprotocol/sdk` v1.17.4+.

5

How does the server handle transient errors?

It applies lightweight retry with small backoff on transient fetch errors.

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