広告掲載
MCP.so
ログイン

Mcpx Py MCP Server

@dylibso

リポジトリホームページ

基本情報

カテゴリ

その他

ライセンス

BSD-3-Clause

トランスポート

stdio

作者

dylibso

Mcpx Py MCP Server 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

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

Mcpx Py 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。

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 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.

よくある質問

1

What dependencies are required?

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

2

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.

3

Which LLM providers are supported?

The library supports Claude, OpenAI, Gemini, Ollama, Llamafile, and any model supported by PydanticAI.

4

How do I get structured output from the LLM?

Pass a Pydantic `BaseModel` subclass as the `result_type` parameter when creating a `Chat` instance, then call `send_message_sync`.

5

Can I use mcpx-py without installing it permanently?

Yes, you can run `mcpx-client` directly using `uvx --from mcpx-py mcpx-client` without permanent installation.

コメント

「その他」の他のコンテンツ

Sequential Thinking

modelcontextprotocol

Model Context Protocol Servers

88.2K

Soar Flight Booking MCP

Soar Flight Booking MCP is a remote MCP server available at https://mcp.soar.flights.

Blender

ahujasid

Open-source MCP to use Blender with any LLM

23.6K

ICSS

chokcoco

不止于 CSS

20.7K

Figs, Relationship Expert

Figs O'Sullivan, LMFT

Couples therapist Figs O'Sullivan (LMFT, 17 years, endorsed by Sue Johnson, creator of EFT) inside your AI. Ask relationship questions answered from his clinical writing, name the pattern in a fight, get a three-step rep

広告掲載