Provides optional Docker-based code execution environment for the agents when executing code as part of conversations
Supports environment variable configuration through .env files for managing API keys and server settings
Supports installation via git clone from a repository
Hosts the server repository, enabling installation directly from GitHub
Enables integration with OpenAI models (like GPT-4) for agent conversations, with configurable LLM settings including model selection and temperature
AutoGen MCP Server
An MCP server that provides integration with Microsoft's AutoGen framework, enabling multi-agent conversations through a standardized interface. This server allows you to create and manage AI agents that can collaborate and solve problems through natural language interactions.
Features
- Create and manage AutoGen agents with customizable configurations
- Execute one-on-one conversations between agents
- Orchestrate group chats with multiple agents
- Configurable LLM settings and code execution environments
- Support for both assistant and user proxy agents
- Built-in error handling and response validation
Installation
- Clone the repository:
- Install dependencies:
Configuration
Environment Variables
- Copy
.env.example
to.env
:
- Configure the environment variables:
Server Configuration
- Copy
config.json.example
toconfig.json
:
- Configure the server settings:
Available Operations
The server supports three main operations:
1. Creating Agents
2. One-on-One Chat
3. Group Chat
Error Handling
Common error scenarios include:
- Agent Creation Errors
- Execution Errors
- Configuration Errors
Architecture
The server follows a modular architecture:
License
MIT License - See LICENSE file for details
This server cannot be installed
hybrid server
The server is able to function both locally and remotely, depending on the configuration or use case.
An MCP server that provides integration with Microsoft's AutoGen framework, enabling multi-agent conversations through a standardized interface.
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