mcpx-py

Name: mcpx-py
Author: dylibso

@dylibso

リポジトリホームページ

mcpx-py について

Python client library for https://mcp.run - call portable & secure tools for your AI Agents and Apps

#python #ai #mcp #agents #llm #mcp-server #mcp-client #mcp-run

基本情報

カテゴリ

その他

ライセンス

BSD-3-Clause

ランタイム

python

トランスポート

stdio

公開者

dylibso

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": {
    "mcpx-py": {
      "command": "npx",
      "args": [
        "--yes",
        "-p",
        "@dylibso/mcpx",
        "gen-session",
        "--write"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

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 mcpx-py?

mcpx-py is a Python library for interacting with large language models (LLMs) using tools provided by mcp.run. It supports all models supported by PydanticAI and offers both a Python API and a command-line interface.

How to use mcpx-py?

Install the library via uv add mcpx-py or pip install mcpx-py. Obtain an mcp.run session ID by running npx --yes -p @dylibso/mcpx gen-session --write and set the MCP_RUN_SESSION_ID environment variable. Then import mcpx_py to use the Chat class or invoke the mcpx-client command-line tool.

Key features of mcpx-py

Python library for LLM interaction via mcp.run tools.
Supports all models supported by PydanticAI.
Structured output with Pydantic models.
Command line interface for chat, list, and tool calls.
Works with Anthropic, OpenAI, Gemini, Ollama, and Llamafile.

Use cases of mcpx-py

Summarize web content using an LLM.
Call remote tools via mcp.run from Python or CLI.
Build AI applications with structured data outputs.
Experiment with multiple LLM providers.

FAQ from mcpx-py

What dependencies are required?

You need uv, npm, and optionally ollama for local models.

How do I set up authentication?

Generate an mcp.run session ID using npx --yes -p @dylibso/mcpx gen-session and either write it to a config file (with --write) or set the MCP_RUN_SESSION_ID environment variable.