MCP Poisoning Attack - PoC

MCP Poisoning Attack - PoC

By wbfoss GitHub

This repository demonstrates a variety of **MCP Poisoning Attacks** affecting real-world AI agent workflows.

mcp cybersecurity
Overview

What is MCP Poisoning Attack - PoC?

MCP Poisoning Attack - PoC is a repository that demonstrates various MCP Poisoning Attacks that can affect real-world AI agent workflows.

How to use MCP Poisoning Attack - PoC?

To use this project, clone the repository and install the required dependencies. Start the fake MCP server and run the agent simulation in separate terminals.

Key features of MCP Poisoning Attack - PoC?

  • Demonstrates multiple scenarios of MCP poisoning attacks.
  • Provides a setup guide for easy installation and execution.
  • Highlights the impact of these attacks on AI workflows.

Use cases of MCP Poisoning Attack - PoC?

  1. Testing the resilience of AI agents against poisoning attacks.
  2. Educational purposes for understanding cybersecurity threats.
  3. Researching the implications of data exfiltration in AI systems.

FAQ from MCP Poisoning Attack - PoC?

  • What scenarios are covered in this project?

The project covers scenarios like code generation poisoning, financial report exfiltration, and more.

  • Is this project suitable for production use?

No, this project is intended for educational and research use only.

  • How can I contribute to this project?

Contributions are welcome! Please follow the guidelines in the repository.

Overview

What is MCP Poisoning Attack - PoC?

MCP Poisoning Attack - PoC is a repository that demonstrates various MCP Poisoning Attacks that can affect real-world AI agent workflows.

How to use MCP Poisoning Attack - PoC?

To use this project, clone the repository and install the required dependencies. Start the fake MCP server and run the agent simulation in separate terminals.

Key features of MCP Poisoning Attack - PoC?

  • Demonstrates multiple scenarios of MCP poisoning attacks.
  • Provides a setup guide for easy installation and execution.
  • Highlights the impact of these attacks on AI workflows.

Use cases of MCP Poisoning Attack - PoC?

  1. Testing the resilience of AI agents against poisoning attacks.
  2. Educational purposes for understanding cybersecurity threats.
  3. Researching the implications of data exfiltration in AI systems.

FAQ from MCP Poisoning Attack - PoC?

  • What scenarios are covered in this project?

The project covers scenarios like code generation poisoning, financial report exfiltration, and more.

  • Is this project suitable for production use?

No, this project is intended for educational and research use only.

  • How can I contribute to this project?

Contributions are welcome! Please follow the guidelines in the repository.

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