8 months ago
developer-toolsA standalone agent runner that executes tasks using MCP (Model Context Protocol) tools via Anthropic Claude, AWS BedRock and OpenAI APIs. It enables AI agents to run autonomously in cloud environments and interact with various systems securely.
Overview
What is Agentic MCP Client?
Agentic MCP Client is a standalone agent runner that executes tasks using Model Context Protocol (MCP) tools via Anthropic Claude, AWS BedRock, and OpenAI APIs. It allows AI agents to operate autonomously in cloud environments and interact securely with various systems.
How to use Agentic MCP Client?
To use the Agentic MCP Client, clone the repository, set up dependencies, create a JSON configuration file for the agent's tasks, and run the agent using the provided command.
Key features of Agentic MCP Client?
- Run standalone agents with tasks defined in JSON configuration files.
- Support for both Anthropic Claude and OpenAI models.
- Automatic tool discovery and execution.
- Session logging for tracking agent progress.
- Configurable system prompts and model parameters.
- Support for MCP sampling and maximum iteration control to prevent infinite loops.
Use cases of Agentic MCP Client?
- Automating tasks in cloud environments.
- Interacting with various systems securely using AI agents.
- Executing complex workflows through the integration of multiple tools.
FAQ from Agentic MCP Client?
- Can I use Agentic MCP Client with any cloud provider?
Yes! It supports AWS BedRock and can be configured for other providers as well.
- Is there a limit to the number of tasks I can run?
The limit is primarily based on the configuration and resources available in your cloud environment.
- How do I contribute to the project?
You can fork the repository, create a new branch, make your changes, and submit a pull request.