mkinf 0.1.8

mkinf python SDK

mkinf SDK

The mkinf SDK is a powerful toolkit that allows you to easily integrate MCP servers into your applications. With mkinf, you can access a growing ecosystem of specialized AI capabilities through a simple, unified interface.

Getting Started

Follow these steps to start using mkinf in your projects:

1. Create a mkinf Account

Sign up for a free account at hub.mkinf.io/signup. During the beta period, all accounts receive unlimited free credits

2. Configure Your API Key

1. Go to API Keys settings
2. Create an organization if you haven't already
3. Generate and copy your API key
4. Add the key to your project's .env file:

MKINF_API_KEY=sk-org-...

3. Install the SDK

Install the mkinf SDK using pip:

pip install mkinf

For specific versions, check the PyPI repository.

4. Find an AI Agent

Browse available AI Agents at mkinf hub and select an agent that matches your use case

5. Import and Use the Agent

Check the "Use Agent" section of your chosen repository for import instructions

Import the agent into your code

from mkinf import hub as mh

tools = mh.pull(
    ["ScrapeGraphAI/scrapegraphai"],
    env={
        "SCRAPEGRAPH_LLM_MODEL": "openai/gpt-4o-mini",
        "SCRAPEGRAPH_LLM_API_KEY": os.getenv("OPENAI_API_KEY")
    }
)

[!NOTE] Remember to configure any required environment variables specified in the agent's documentation.

Current Limitations

[!WARNING] Currently, mkinf tools are compatible with LangChain chains and graphs. Support for other frameworks like CrewAI, AutoGen, and SmolAgents is coming soon.

Example

You can run the included Streamlit example to see mkinf in action:

uv run sync --dev
uv run example