MKInf SDK: Seamless Server Integration & Workflow Efficiency

Empower apps to seamlessly interact with MKInf Hub MCP servers—streamline workflows and boost efficiency with our intuitive SDK.

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About MKInf SDK

What is MKInf SDK: Seamless Server Integration & Workflow Efficiency?

MKInf SDK is a robust toolkit designed to simplify integration of MCP servers into applications through a unified API interface. By providing access to a growing ecosystem of specialized AI agents, it enables developers to streamline workflows and deploy advanced capabilities without complex infrastructure setups. During its beta phase, users gain unlimited free credits to experiment with these tools.

How to Use MKInf SDK: Seamless Server Integration & Workflow Efficiency?

Getting started requires three core steps: 1) Create an account at hub.mkinf.io, 2) configure your API key in your project's environment file, and 3) install the SDK via pip. Agents are selected from the hub, imported using Python syntax, and configured with required environment variables for optimal performance.

MKInf SDK Features

Key Features of MKInf SDK: Seamless Server Integration & Workflow Efficiency?

Unified access to diverse AI agents through a simple API
Self-service management of API keys and organizational permissions
Immediate compatibility with LangChain workflows
Coming soon: expanded framework support for CrewAI, AutoGen, and SmolAgents
Production-ready error handling and rate limiting

Use Cases of MKInf SDK: Seamless Server Integration & Workflow Efficiency?

Developers leverage MKInf SDK for:
• Automated data extraction via specialized scraping agents
• Context-aware natural language processing pipelines
• Intelligent automation of repetitive API interactions
• Rapid prototyping with pre-built AI workflows

MKInf SDK FAQ

FAQ from MKInf SDK: Seamless Server Integration & Workflow Efficiency?

Q: How do free credits work during beta?
A: All beta users receive unlimited credits for testing purposes.

Q: Can I use agents without LangChain?
A: Current support is framework-agnostic for agent logic, but chain compatibility requires LangChain until upcoming updates.

Q: What happens if API keys are exposed?
A: Immediate key rotation is recommended through the API management portal.

Content

mkinf SDK

PyPI - Version

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

2. Configure Your API Key

Go to API Keys settings
Create an organization if you haven't already
Generate and copy your API key
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