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Sample MCP Server in Go.

@giannisalinetti

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基本情報

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トランスポート

stdio

作者

giannisalinetti

Sample MCP Server in Go. について

概要はまだありません

Sample MCP Server in Go. の設定

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このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

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Sample MCP Server in Go. のツール

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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 Sample MCP Server in Go?

Sample MCP Server in Go runs a Python environment when called, enabling execution of code generated by an LLM. It is designed to be useful for tasks like scraping web content. The server uses Podman as its container engine.

How to use Sample MCP Server in Go?

Build the project with Go 1.23+ using go mod tidy && go install. For testing, use the mcphost client. Configure the server by editing ~/.mcp.json to add a server entry with the command python-mcp-server aliased as python-repl. Then run mcphost with an Anthropic API key to start prompting.

Key features of Sample MCP Server in Go

  • Runs a Python environment for executing LLM-generated code.
  • Designed for web scraping tasks.
  • Uses Podman as the container engine.
  • Integrates with the mcphost test client.
  • Exposes a single tool named execute-python.

Use cases of Sample MCP Server in Go

  • Allow an LLM to scrape and summarise content from websites.
  • Execute Python code generated by an LLM for data extraction.
  • Test and debug MCP server interactions using mcphost.

よくある質問

1

What does this server do?

It runs a Python environment that can execute code produced by an LLM, such as scripts for web scraping.

2

What are the dependencies?

Go 1.23 or later is required to build the server. Podman is the container engine used. The `mcphost` client is used for testing.

3

How do I configure the server for testing?

Add an entry to `~/.mcp.json` with the command `python-mcp-server` under the alias `python-repl`. Then run `mcphost` with an Anthropic API key.

4

Does the server require authentication?

The server itself does not mention authentication. The testing client `mcphost` requires an Anthropic API key for the LLM backend.

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