MCP Dump

@Jayanth-MKV

リポジトリ

基本情報

カテゴリ

その他

トランスポート

stdio

作者

Jayanth-MKV

MCP Dump について

Dump of all the MCP (model context protocol) servers

#mcp #model-context-protocol #server-implementation

MCP Dump 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": {
    "MCP-dump": {
      "command": "npx",
      "args": [
        "wrangler",
        "dev"
      ]
    }
  }
}

MCP Dump 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。

上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。

概要

What is MCP-dump?

MCP-dump is a monorepo hosting multiple Model Context Protocol (MCP) server and client implementations. It explores different tooling stacks (Python + uv, TypeScript + Cloudflare Workers) and agent patterns (LLM-backed analysis, reactive agents, tool invocation), intended as a playground and reference for learning, prototyping, and comparing implementation styles.

How to use MCP-dump?

To use the Cloudflare Workers MCP server, navigate to mcp-hello, install dependencies with npm install, run tests with npm test, and optionally start with npx wrangler dev. For the Python MCP workspace (mcp-files), use uv run mcp-server to start the server, or run client examples like uv run examples/clients/react_agent.py. The Postgres AI agent (ai-agent-postgres-mcp) can be started with uv run main.py after reviewing its local README for database setup. The uv tool is required for Python projects.

Key features of MCP-dump

Monorepo with multiple MCP server and client implementations
Cloudflare Workers MCP server (TypeScript)
Python MCP server with tooling abstractions and CLI
AI agent example connecting MCP to Postgres
Example clients including a reactive agent pattern
Experimental Python minimal MCP server

Use cases of MCP-dump

Learning the Model Context Protocol by exploring runnable examples
Prototyping tool invocation and agent patterns
Comparing MCP implementation styles across runtimes
Building an AI agent that converses with a Postgres database via MCP
Developing and testing MCP tools in a structured workspace

よくある質問

What is the Model Context Protocol (MCP)?

MCP standardizes how tools, agents, and large language models exchange contextual information, resources, and tool invocation results. It aims to provide predictable, typed exchanges and reduce ad‑hoc prompt engineering glue.

What runtime dependencies does MCP-dump require?

Cloudflare Workers examples require Node.js and npm (or pnpm/yarn). Python projects use `uv` (fast package manager) and are organized with pyproject.toml. The `uv` tool must be installed separately (see docs.astral.sh/uv).

How is the repository structured?

The monorepo contains subdirectories: `mcp-hello` (Cloudflare Workers server), `mcp-files` (Python workspace with a server, clients, and tools), `ai-agent-postgres-mcp` (AI agent for Postgres), and experimental examples. Each project has its own README.

Are these implementations production‑ready?

No. The disclaimer states these implementations are experimental, not guaranteed production‑grade, and may simplify security, robustness, and performance for clarity.

How can I contribute to MCP-dump?

Contributions are welcome, including new MCP tool modules, additional runtime adapters (Rust, Go, etc.), agent strategy examples, and documentation improvements. You should fork, branch from `main`, implement, add minimal docs/tests, and open a PR with a clear description.

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