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systemprompt-agent-server

by Ejb503

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. This server integrates with systemprompt.io to provide seamless creation, management, and versioning of system prompts through MCP.

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What is systemprompt-agent-server?

systemprompt-agent-server is a Model Context Protocol (MCP) server designed for creating, managing, and extending AI agents. It provides a system for managing prompts and tools, integrating with systemprompt.io for seamless prompt versioning and management.

How to use systemprompt-agent-server?

To use this server, you need an API key from systemprompt.io. Install the server and configure it to work with an MCP-compatible client like multimodal-mcp-client. Follow the installation instructions provided in the README, either via Smithery or manual configuration. Ensure your client supports sampling and notification features.

Key features of systemprompt-agent-server

  • Agent Management

  • Extensible Tool System

  • Prompt Management

  • Type-Safe Integration

  • MCP Compatibility

  • Open Source

Use cases of systemprompt-agent-server

  • Creating and managing AI agents with customized system prompts

  • Enhancing agents' capabilities by adding and modifying tools

  • Centralized management of system prompts with versioning

  • Building voice-powered AI workflows

  • Integrating AI agents into existing applications via MCP

FAQ from systemprompt-agent-server

What is MCP?

MCP stands for Model Context Protocol, a standard for AI agent interactions.

Do I need an API key?

Yes, an API key from systemprompt.io is required to use this server.

What client should I use?

The server is designed to work with multimodal-mcp-client, but any MCP-compatible client can be used.

How do I install the server?

You can install it via Smithery or manually by configuring the server config in your client.

How do I debug the server?

Use the MCP Inspector, which can be accessed via the npm run inspector command.