mkinf SDK
About
mkinf SDK to interact with mkinf hub MCP servers
Details
- License
- MIT
Explore
- Unified interface for accessing MCP-based AI agents
- Simple pip installation and Python SDK
- API-key authentication via environment variable
- Centralized hub for discovering and pulling agents
- Supports agent-specific environment variable configuration
- Compatible with LangChain chains and graphs
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
mkinf SDKCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Follow these steps to start using mkinf in your projects:
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 .env
MKINF_API_KEY=sk-org-...
Install the mkinf SDK using pip:
bash
pip install mkinf
``
For specific versions, check the PyPI repository.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"mkinf sdk": {
"mkinf": {
"command": "uv",
"args": [
"run",
"sync",
"--dev"
]
}
}
}
}McpServers
{
"mkinf": {
"command": "uv",
"args": [
"run",
"sync",
"--dev"
]
}
}
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. <Check>During the beta period, all accounts receive unlimited free credits</Check>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 .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.
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.
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