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AgenticMaid Project MCP Server

@Buidl-Land

Repository

Basic information

Category

Other

License

Apache-2.0 license

Transports

stdio

Author

Buidl-Land

About AgenticMaid Project MCP Server

AgenticMaid is a Python library designed to interact with one or more Multi-Capability Protocol (MCP) servers.

#agenticmaid#mcp#python-library

AgenticMaid Project MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "AutoMaid": {
      "command": "python",
      "args": [
        "-m",
        "uvicorn",
        "AgenticMaid.api:app",
        "--reload"
      ]
    }
  }
}

AgenticMaid Project MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is AgenticMaid Project?

AgenticMaid Project is a Python library that interacts with one or more Multi-Capability Protocol (MCP) servers. It dynamically fetches tools from those servers, manages configurations for various AI/LLM services, schedules automated tasks, and handles chat service interactions. It is designed for developers building AI-powered applications that need to combine multiple capabilities and language models.

How to use AgenticMaid Project?

Install the required dependencies (python-dotenv, langchain-mcp-adapters, langgraph, etc.) and configure the library using either a Python dictionary, a JSON file, or a .env file for API keys. Instantiate ClientAgenticMaid with your configuration, call await client.async_initialize(), then use run_mcp_interaction() to invoke agents that leverage the fetched MCP tools.

Key features of AgenticMaid Project

  • Multi-server MCP interaction and tool fetching
  • Dynamic tool retrieval at runtime
  • Flexible configuration via dictionary, JSON, or .env files
  • Supports OpenAI, Anthropic, Azure OpenAI, and local LLMs
  • Scheduled tasks with cron-like expressions
  • Chat service integration framework
  • Agent creation using langgraph ReAct agents

Use cases of AgenticMaid Project

  • Building AI agents that use tools from multiple MCP servers
  • Scheduling periodic automated tasks (e.g., hourly summaries)
  • Powering chat interfaces with configurable AI/LLM backends
  • Rapidly prototyping applications that need to switch between AI providers

Frequently asked questions

1

What are the system requirements?

Python 3.8 or higher is required. The library depends on packages such as `langchain-mcp-adapters`, `langgraph`, `schedule`, and provider-specific packages like `langchain-openai` and `langchain-anthropic`.

2

How do I configure API keys for AI services?

API keys and default model settings can be placed in a `.env` file inside the `AgenticMaid/` directory. They can be overridden by values passed directly in the main JSON or dictionary configuration.

3

Can AgenticMaid connect to multiple MCP servers at the same time?

Yes. The library is designed to connect to multiple MCP servers and dynamically fetch and combine their tools for use by agents.

4

What AI providers are supported?

OpenAI, Anthropic, Azure OpenAI, and local OpenAI-compatible servers (e.g., LM Studio) are supported. Providers are configured under the `ai_services` section of the configuration.

5

How do I run a scheduled task?

Define the task in the `scheduled_tasks` array of the configuration, providing a `cron_expression` (e.g., `"0 * * * *"`), a `prompt`, and a `model_config_name`. The schedule is handled by the `schedule` library.

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