mkinf

# 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](https://hub.mkinf.io/signup). <Check>During the beta period, all accounts receive unlimited free credits</Check> ## 2. Configure Your API Key 1. Go to [API Keys settings](https://hub.mkinf.io/settings/api-keys) 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 .env MKINF_API_KEY=sk-org-... ``` ## 3. Install the SDK Install the mkinf SDK using pip: ```bash pip install mkinf ``` For specific versions, check the [PyPI repository](https://pypi.org/project/mkinf/). ## 4. Find an AI Agent Browse available AI Agents at [mkinf hub](https://hub.mkinf.io/) 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 ```python 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: ```bash uv run sync --dev uv run example ```