What are the system requirements?
Go 1.24.1 or higher and a DeepSeek API key are required.
@HundunOnline
基本信息
A powerful MCP tool for forging and managing AI agent personalities with customizable expert traits and behaviors.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-agent-forge": {
"command": "/path/to/mcp-agent-forge",
"env": {
"DEEPSEEK_API_KEY": "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxx"
}
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
Mcp Agent Forge is a platform for creating and managing AI agents with specific personality traits, simulating their responses to questions, and building multi-agent collaboration research projects similar to CO-STORM. It uses the DeepSeek API for advanced language understanding.
Install Go 1.24.1+, clone the repository, and run make build. Configure the MCP server in your client’s settings by setting the DEEPSEEK_API_KEY environment variable. Invoke tools such as expert_personality_generation to create agents, agent_answer to simulate responses, get_agent, list_agents, and delete_agent for management.
Go 1.24.1 or higher and a DeepSeek API key are required.
Set the `DEEPSEEK_API_KEY` environment variable (required) and optionally configure `LOG_LEVEL`, `LOG_PATH`, `CONFIG_PATH`, `PORT`, and `DEBUG`.
Five tools: `expert_personality_generation` (create an agent), `agent_answer` (simulate a response), `get_agent` (get agent info), `list_agents` (list all agents), and `delete_agent` (remove an agent).
Yes. The `agent_answer` tool supports a `planned_rounds` and `current_round` parameter to manage multi-round dialogues.
When creating an agent via `expert_personality_generation`, you provide an `agent_name` and a comma-separated list of `core_traits` (e.g., “Systems Thinking, First Principles”).
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