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Systemprompt Agent Server MCP Server

@Ejb503

代码仓库

基本信息

分类

AI 与智能体

传输方式

stdio

作者

Ejb503

关于 Systemprompt Agent Server MCP Server

The core MCP extension for Systemprompt MCP multimodal client

#ai#mcp#systemprompt#mcp-server

Systemprompt Agent Server MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "systemprompt-mcp-core": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli",
        "install",
        "systemprompt-agent-server",
        "--client",
        "claude"
      ]
    }
  }
}

Systemprompt Agent Server MCP Server 工具

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。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

What is systemprompt-agent-server?

A specialized Model Context Protocol (MCP) server that enables you to create, manage, and extend AI agents through a powerful prompt and tool management system. It integrates with systemprompt.io to provide centralized creation, management, and versioning of system prompts via MCP. Designed for developers and advanced users building voice-powered or multi-agent workflows.

How to use systemprompt-agent-server?

Install via Smithery using npx -y @smithery/cli install systemprompt-agent-server --client claude, or manually configure your MCP client with the server’s build output path. The server must be paired with an advanced client (e.g., multimodal-mcp-client) that supports Sampling and Notifications. An API key from systemprompt.io is required.

Key features of systemprompt-agent-server

  • Full MCP protocol integration for seamless agent interactions
  • Voice-powered interface via multimodal-mcp-client
  • Create, edit, and manage AI agents with custom system prompts
  • Built‑in tools for prompt, resource, and agent management
  • Sampling and real‑time notification support
  • Type‑safe implementation with TypeScript and error handling

Use cases of systemprompt-agent-server

  • Build and manage multiple AI agents with tailored prompts and tool sets
  • Centralize version‑controlled system prompts across projects
  • Create voice‑controlled AI workflows using multimodal input and output
  • Monitor and debug agent interactions through a unified event system

常见问题

1

What are the runtime requirements?

Node.js and an API key from systemprompt.io. The server uses the @modelcontextprotocol/sdk and requires an advanced MCP client that supports Sampling and Notifications.

2

Do I need a special client to use it?

Yes. The server is designed to work with the multimodal‑mcp-client (a voice‑powered MCP client) or other clients that support advanced MCP features like Sampling and Notifications.

3

How does authentication work?

An API key must be obtained from the systemprompt.io console. Authentication is handled via API key management built into the server.

4

Where are prompts and resources stored?

All data is managed through the systemprompt.io platform. Prompts and agent configurations are created, edited, and retrieved using the server’s tools.

5

What transport protocol does it use?

The server communicates over stdio, as is standard for MCP servers. It can be configured in any MCP‑compatible client that supports stdio.

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