Install
$ agentstack add mcp-mkinf-io-mkinf ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ● Environment & secrets Used
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →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. During the beta period, all accounts receive unlimited free credits
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:
```env .env MKINFAPIKEY=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.
Example
You can run the included Streamlit example to see mkinf in action:
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
- Source: mkinf-io/mkinf
- License: MIT
- Homepage: https://mkinf.io
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.