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Prerequisites

  • Python 3.9 or higher installed
  • Basic understanding of Python and LLM programming

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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

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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:
.env
MKINF_API_KEY=sk-org-...

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3. Install the SDK

Install the mkinf SDK using pip:

pip install mkinf

For specific versions, check the PyPI repository.

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4. Find an AI Agent

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

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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")
    }
)

Remember to configure any required environment variables specified in the agent’s documentation.

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Current Limitations

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

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Next Steps