Mkinf
What is Mkinf
mkinf is an SDK designed to facilitate interaction with mkinf hub MCP servers, providing a unified interface to access various AI capabilities.
Use cases
Use cases for mkinf include building applications that leverage AI for tasks such as data scraping, natural language processing, and other specialized AI functionalities.
How to use
To use mkinf, create a free account, configure your API key, install the SDK via pip, find an appropriate AI agent, and import it into your project according to the provided instructions.
Key features
Key features include easy integration with MCP servers, access to a variety of AI agents, and compatibility with LangChain chains and graphs.
Where to use
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Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Mkinf
mkinf is an SDK designed to facilitate interaction with mkinf hub MCP servers, providing a unified interface to access various AI capabilities.
Use cases
Use cases for mkinf include building applications that leverage AI for tasks such as data scraping, natural language processing, and other specialized AI functionalities.
How to use
To use mkinf, create a free account, configure your API key, install the SDK via pip, find an appropriate AI agent, and import it into your project according to the provided instructions.
Key features
Key features include easy integration with MCP servers, access to a variety of AI agents, and compatibility with LangChain chains and graphs.
Where to use
undefined
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
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.
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
.envfile:
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
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
