mcpd 0.0.1

mcpd Python SDK

mcpd-sdk-python

mcpd-sdk-python is a lightweight Python SDK for interacting with the mcpd application.

A daemon that exposes MCP server tools via a simple HTTP API.

This SDK provides high-level and dynamic access to those tools, making it easy to integrate with scripts, applications, or agentic frameworks.

Features

• Discover and list available mcpd hosted MCP servers
• Retrieve tool definitions and schemas for one or all servers
• Dynamically invoke any tool using a clean, attribute-based syntax
• Generate self-contained, deepcopy-safe tool functions for frameworks like any-agent
• Minimal dependencies (requests only)

Installation

Assuming you are using uv, include it in your pyproject.toml:

[tool.uv.sources]
mcpd = { path = "../mcpd", editable = true }

[project]
dependencies = [
  "mcpd"
]

Then run:

uv venv
source .venv/bin/activate
uv sync

Dev Setup

Use the Makefile target to ensure uv is installed, and your virtual environment is active and sync'd.

make setup

Testing

Ensure you have the correct dependencies installed for testing:

uv sync --group tests

Then to run all tests:

uv run pytest tests

... or via Makefile:

make test

Quick Start

from mcpd import McpdClient, McpdError

client = McpdClient(endpoint="http://localhost:8090")

# List available servers
print(client.servers())
# Example: ['time', 'fetch', 'git']

# List tool definitions (schemas) for a specific server
print(client.tools(server_name="time"))

# Dynamically call a tool
try:
    result = client.call.time.get_current_time(timezone="UTC")
    print(result)
except McpdError as e:
    print(f"Error: {e}")

Agentic Usage

Generate dynamic functions suitable for AI agents:

from any_agent import AnyAgent, AgentConfig
from mcpd import McpdClient

# Assumes the mcpd daemon is running
client = McpdClient(endpoint="http://localhost:8090")

agent_config = AgentConfig(
    tools=client.agent_tools(),
    model_id="gpt-4.1-nano",  # Requires OPENAI_API_KEY to be set
    instructions="Use the tools to answer the user's question."
)
agent = AnyAgent.create("mcpd-agent", agent_config)

response = agent.run("What is the current time in Tokyo?")
print(response)

Examples

A working SDK examples are available in the examples/ folder, please refer to the relevant example for execution details.

Method	Docs
AnyAgent	README.md
Manual	README.md
Pydantic AI	README.md

API

Initialization

from mcpd import McpdClient

# Initialize the client with your mcpd API endpoint.
# api_key is optional and sends an 'MCPD-API-KEY' header.
client = McpdClient(api_endpoint="http://localhost:8090", api_key="optional-key")

Core Methods

• client.servers() -> list[str] - Returns a list of all configured server names.

• client.tools() -> dict[str, list[dict]] - Returns a dictionary mapping each server name to a list of its tool schema definitions.

• client.tools(server_name: str) -> list[dict] - Returns the tool schema definitions for only the specified server.

• client.agent_tools() -> list[Callable] - Returns a list of self-contained, callable functions suitable for agentic frameworks.

• client.clear_agent_tools_cache() - Clears cached generated callable functions that are created when calling agent_tools().

• client.has_tool(server_name: str, tool_name: str) -> bool - Checks if a specific tool exists on a given server.

• client.call.<server_name>.<tool_name>(**kwargs) - The primary way to dynamically call any tool using keyword arguments.

Error Handling

All SDK-level errors, including HTTP and connection errors, will raise a McpdError exception. The original exception is chained for full context.

License

Apache-2.0