# Mkinf

> mkinf SDK to interact with mkinf hub MCP servers

- **Type:** MCP server
- **Install:** `agentstack add mcp-mkinf-io-mkinf`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [mkinf-io](https://agentstack.voostack.com/s/mkinf-io)
- **Installs:** 0
- **Category:** [AI & ML](https://agentstack.voostack.com/c/ai-and-ml)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [mkinf-io](https://github.com/mkinf-io)
- **Source:** https://github.com/mkinf-io/mkinf
- **Website:** https://mkinf.io

## Install

```sh
agentstack add mcp-mkinf-io-mkinf
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# 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](https://hub.mkinf.io/signup).
During the beta period, all accounts receive unlimited free credits

## 2. Configure Your API Key
1. Go to [API Keys settings](https://hub.mkinf.io/settings/api-keys)
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](https://pypi.org/project/mkinf/).

## 4. Find an AI Agent
Browse available AI Agents at [mkinf hub](https://hub.mkinf.io/) 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

```python
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:
```bash
uv run sync --dev
uv run example
```

## Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [mkinf-io](https://github.com/mkinf-io)
- **Source:** [mkinf-io/mkinf](https://github.com/mkinf-io/mkinf)
- **License:** MIT
- **Homepage:** https://mkinf.io

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** yes
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/mcp-mkinf-io-mkinf
- Seller: https://agentstack.voostack.com/s/mkinf-io
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.