How do I install mkinf SDK?
Run `pip install mkinf`. For specific versions, check the PyPI repository.
@mkinf-io
Basic information
mkinf SDK to interact with mkinf hub MCP servers
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mkinf": {
"command": "uv",
"args": [
"run",
"sync",
"--dev"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
The mkinf SDK is a toolkit for integrating MCP servers into applications. It provides a unified interface to access a growing ecosystem of specialized AI capabilities, enabling developers to discover and use AI agents from the mkinf hub.
Create a free account at hub.mkinf.io/signup, generate an API key from the settings page, install the SDK with pip install mkinf, find an agent on the mkinf hub, and import it using from mkinf import hub as mh with the desired agent repository name and environment variables.
Run `pip install mkinf`. For specific versions, check the PyPI repository.
Sign up at hub.mkinf.io/signup, then go to API Keys settings at hub.mkinf.io/settings/api-keys, create an organization, and generate a key. Add it to your `.env` file as `MKINF_API_KEY=sk-org-...`.
During the beta period, all accounts receive unlimited free credits.
Currently, mkinf tools are compatible with LangChain chains and graphs. Support for CrewAI, AutoGen, and SmolAgents is coming soon.
Browse and select agents from the mkinf hub at hub.mkinf.io. Each agent has a "Use Agent" section with import instructions and required environment variables.

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