systemprompt-agent-server
@Ejb503
About systemprompt-agent-server
The core MCP extension for Systemprompt MCP multimodal client
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"systemprompt-mcp-core": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"systemprompt-agent-server",
"--client",
"claude"
]
}
}
}Tools
No tools detected
Fetch the live tool list by running this server in a temporary sandbox using the button above.
Overview
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
FAQ from systemprompt-agent-server
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.
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.
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.
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.
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.
Frequently asked questions
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.
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.
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.
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.
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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