mkinf SDK

What is mkinf SDK?

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.

How to use mkinf SDK?

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.

Key features of mkinf SDK

• 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

Use cases of mkinf SDK

• Integrate a web scraping agent into a LangChain pipeline
• Compose multiple specialized AI tools in a single application
• Rapidly prototype AI workflows using pre-built agents from the hub
• Switch between different AI providers by changing environment variables

FAQ from mkinf SDK

How do I install mkinf SDK?

Run pip install mkinf. For specific versions, check the PyPI repository.

How do I get an API key?

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-....

Is mkinf SDK free to use?

During the beta period, all accounts receive unlimited free credits.

What frameworks does mkinf SDK support?

Currently, mkinf tools are compatible with LangChain chains and graphs. Support for CrewAI, AutoGen, and SmolAgents is coming soon.

Where can I find available AI agents?

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.