Is Mcp Argo Server safe to use?

Mcp Argo Server has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments. Licensed under MIT.

How do I install Mcp Argo Server?

Mcp Argo Server can be installed by cloning its GitHub repository and following the setup instructions in the README.

What AI clients work with Mcp Argo Server?

Mcp Argo Server is compatible with Claude Desktop, Cursor, Claude Code, and most MCP clients that support stdio transport. It uses stdio transport.

Is Mcp Argo Server actively maintained?

Mcp Argo Server is not actively maintained — last commit was 409 days ago. It has 11 GitHub stars.

19FNo CVEsabandonedMIT

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✓

Is it safe?

No package registry to scan.

No authentication — any process on your machine can connect.

MIT. View license →

Is it maintained?

Last commit 409 days ago. 11 stars.

Will it work with my client?

Transport: stdio. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.

Test This Server

No automated test available for this server. Check the GitHub README for setup instructions.

MCPpedia Score

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19F

Last scored 20h ago

How we score →

Security

6/30

No known vulnerabilities.

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Known CVEs — No package registry to scan

○

Tool safety — No tools to analyze

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Tool poisoning — No tools to analyze

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Injection vectors — No tools to analyze

✓

Tool stability — Tool definitions stable

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Dependency health — No package to analyze

✓

License — License: MIT

○

Authentication — No authentication required

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CVEs checked daily via OSV.dev. Score algorithm is open source.

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MCP Argo Server

An MCP-compliant server for running Argo Workflows written in Golang.

Overview

MCP Argo Server is a lightweight CLI tool that wraps Argo Workflows using JSON-RPC over STDIN/STDOUT. It leverages Foxy Contexts for RPC handling and client-go for interacting with Kubernetes and Argo Workflow resources. The project provides tools for launching workflows, checking workflow status, and retrieving results.

Installation

This project is configured to run inside a development container. Simply open the repository in your dev container-enabled editor (e.g., VS Code Remote - Containers) and all dependencies are pre-installed.
If you prefer to run it locally, clone the repository and run:

go mod tidy

Usage

Open the project in the dev container.

Run make cluster which will install the k3d cluster and set up Argo.

You can check that's worked by typing kubectl cluster-info.

You can run a test workflow by typing argo submit -n argo --watch ./kube/argo-hello-world.yaml.

You can see the Argo interface at https://localhost:2746/workflows/argo/

You can check that the app is building and the MCP is working by typing make run.

Testing with Python

The project includes a Python test client that demonstrates how to interact with the MCP Argo server. The test client is located in python/test_with_autogen.py and showcases:

Submitting Argo workflows
Checking workflow status
Waiting for workflow completion
Retrieving workflow results

To run the Python test:

Ensure you have Python dependencies installed:
```
cd python
make install
```
Run the test script:
```
python test_with_autogen.py
```

or... just debug it to step through.

The script will:

Connect to the MCP Argo server
Iterate the tools and print them out
Submit a sample workflow from kube/argo-hello-world.yaml
Monitor the workflow status until completion
Display the workflow results

Contributing

Contributions are welcome! Please open issues and submit pull requests. Before submitting changes, ensure that you follow the project's coding guidelines and that all tests pass.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Mcp Argo Server

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