mcpx-py 0.1.0

An mcp.run client for Python

mcpx-py

A Python library and command line client for https://www.mcp.run. This tool enables seamless interaction with various AI models while providing access to a suite of powerful tools.

Features

Tool Management

• List Tools: Browse available tools and their capabilities
• Direct Tool Execution: Run tools with specific inputs without LLM interaction
• Tool Integration: Use tools seamlessly within AI chat conversations

AI Provider Support

• Ollama: https://ollama.com/
• Claude: https://www.anthropic.com/api
• OpenAI: https://openai.com/api/
• Gemini: https://ai.google.dev/
• Llamafile: https://github.com/Mozilla-Ocho/llamafile
  • See Llamafile JSON API setup

Interactive Features

• Real-time chat interface with AI models
• Tool suggestion and execution within conversations
• Support for both local and cloud-based AI providers

Dependencies

• uv
• npm
• ollama (optional)

mcp.run Setup

You will need to get an mcp.run session ID:

$ npx --yes -p @dylibso/mcpx gen-session 
Login successful!
Session: kabA7w6qH58H7kKOQ5su4v3bX_CeFn4k.Y4l/s/9dQwkjv9r8t/xZFjsn2fkLzf+tkve89P1vKhQ

Then set the MPC_RUN_SESSION_ID environment variable:

$ export MCP_RUN_SESSION_ID=kabA7w6qH58H7kKOQ5su4v3bX_CeFn4k.Y4l/s/9dQwkjv9r8t/xZFjsn2fkLzf+tkve89P1vKhQ

Python Usage

Installation

Using uv:

$ uv add mcpx-py

Or pip:

$ pip install mcpx-py

Example code

from mcpx_py import Client   # Import the mcp.run client

client = Client()            # Create the client, this will check the
                             # `MCP_RUN_SESSION_ID` environment variable

# Call a tool with the given input
results = client.call("eval-js", {"code": "'Hello, world!'"})

# Iterate over the results
for content in results.content:
    print(content.text)

More examples can be found in the examples/ directory

Command Line Usage

Installation

uv tool install git+https://github.com/dylibso/mcpx-py

Or from the root of the repo:

uv tool install .

uvx

mcpx-client can also be executed without being installed using uvx:

uvx --from git+https://github.com/dylibso/mcpx-py mcpx-client

Running

Get usage/help

mcpx-client --help

Chat with an LLM

mcpx-client chat

List tools

mcpx-client list

Call a tool

mcpx-client tool eval-js '{"code": "2+2"}'

LLM Configuration

Provider Setup

Claude

1. Sign up for an Anthropic API account at https://console.anthropic.com
2. Get your API key from the console
3. Set the environment variable: ANTHROPIC_API_KEY=your_key_here

OpenAI

1. Create an OpenAI account at https://platform.openai.com
2. Generate an API key in your account settings
3. Set the environment variable: OPENAI_API_KEY=your_key_here

Gemini

1. Create an Gemini account at https://aistudio.google.com
2. Generate an API key in your account settings
3. Set the environment variable: GEMINI_API_KEY=your_key_here

Ollama

1. Install Ollama from https://ollama.ai
2. Pull your desired model: ollama pull llama3.2
3. No API key needed - runs locally

Llamafile

1. Download a Llamafile model from https://github.com/Mozilla-Ocho/llamafile/releases
2. Make the file executable: chmod +x your-model.llamafile
3. Run in JSON API mode: ./your-model.llamafile --json-api --host 127.0.0.1 --port 8080
4. Use with the OpenAI provider pointing to http://localhost:8080