systemprompt-agent-server
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[](https://smithery.ai/server/systemprompt-agent-server)
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[Website](https://systemprompt.io) | [Documentation](https://systemprompt.io/documentation) | [Blog](https://tyingshoelaces.com) | [Get API Key](https://systemprompt.io/console)
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](https://systemprompt.io) to provide seamless creation, management, and versioning of system prompts through MCP.
An API KEY is required to use this server. This is currently free, although this may change in the future. You can get one [here](https://systemprompt.io/console).
This server uses Sampling and Notification functionality from the [@modelcontextprotocol/sdk](https://github.com/modelcontextprotocol/sdk). This will only work with advanced clients that support these features. A free opensource client [multimodal-mcp-client](https://github.com/Ejb503/multimodal-mcp-client) can be used to provide a complete voice-powered AI workflow solution.
Required Client
This server is designed to work with the [multimodal-mcp-client](https://github.com/Ejb503/multimodal-mcp-client) - a voice-powered MCP client that provides the frontend interface. Please make sure to set up both components for the full functionality.
Why Use This Server?
- **Agent Management**: Create and manage AI agents with customized system prompts and tool configurations
- **Extensible Tool System**: Add, modify, and combine tools to enhance your agents' capabilities through MCP
- **Prompt Management**: Centralized management of system prompts with versioning and metadata support
- **Type-Safe Integration**: Full TypeScript support with proper error handling
- **MCP Compatibility**: Works seamlessly with [multimodal-mcp-client](https://github.com/Ejb503/multimodal-mcp-client) and other MCP-compatible clients
- **Open Source**: Free to use and modify under the MIT license
Features
Core Functionality
- **MCP Protocol Integration**: Full implementation of Model Context Protocol for seamless AI agent interactions
- **Voice-Powered Interface**: Compatible with voice commands through multimodal-mcp-client
- **Real-Time Processing**: Supports streaming responses and real-time interactions
- **Type-Safe Implementation**: Full TypeScript support with proper error handling
Agent Management
- Create and configure AI agents with specific capabilities
- Manage agent states and contexts
- Define agent behaviors through system prompts
- Monitor and debug agent interactions
- Version control for agent configurations
- Resource management for agent assets
Advanced Tools System
Built-in tools include:
- **Prompt Management** - `create_prompt` - Create new system prompts with metadata - `edit_prompt` - Update existing system prompts with versioning - `get_prompt` - Retrieve specific prompt configurations
- **Resource Management** - `create_resource` - Create new agent resources and configurations - `edit_resource` - Modify existing agent resources - `list_resources` - Browse available agent resources - `read_resource` - Access specific agent resource content
- **System Tools** - `systemprompt_heartbeat` - Monitor system status and health - `systemprompt_fetch_resources` - Retrieve all available resources
- **Agent Management** - `create_agent` - Create new systemprompt agents - `edit_agent` - Modify existing systemprompt agents - `list_agents` - View available systemprompt agents
Sampling & Notifications
- Advanced sampling capabilities for AI responses
- Real-time notification system for agent events
- Configurable sampling parameters
- Event-driven architecture for notifications
Integration Features
- API Key management and authentication
- User status and billing information tracking
- Subscription management
- Usage monitoring and analytics
Development Tools
- Built-in debugging capabilities
- Test utilities and fixtures
- Type-safe mocking utilities
- Comprehensive testing framework
Demo & Showcase
Watch our video demonstration to see Systemprompt MCP Client in action:
[ Watch Demo Video](https://www.youtube.com/watch?v=n94JtRXXqec)
The demo showcases:
- Voice-controlled AI interactions
- Multimodal input processing
- Tool execution and workflow automation
- Real-time voice synthesis
Development
Install dependencies:
Build the server:
For development with auto-rebuild:
Installation
Installing via Smithery
To install SystemPrompt Agent for Claude Desktop automatically via [Smithery](https://smithery.ai/server/systemprompt-agent-server):
Manual Installation
To manually configure with Claude Desktop, add the server config:
On MacOS: `~/Library/Application Support/Claude/claude_desktop_config.json`
On Windows: `%APPDATA%/Claude/claude_desktop_config.json`
Debugging
Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the [MCP Inspector](https://github.com/modelcontextprotocol/inspector), which is available as a package script:
The Inspector will provide a URL to access debugging tools in your browser.
Testing
This project uses Jest for testing with TypeScript and ESM (ECMAScript Modules) support.
Test Configuration
The test setup includes:
- Full TypeScript support with ESM modules
- Global fetch mocking
- Automatic test reset between runs
- Custom matchers for validation
- Type-safe mocking utilities
Module Resolution
The project uses a dual module resolution strategy:
- Source code uses ESM (ECMAScript Modules) with `.js` extensions
- Tests use CommonJS for compatibility with Jest
This is configured through two TypeScript configurations:
- `tsconfig.json`: Main configuration for source code (ESM)
- `tsconfig.test.json`: Test-specific configuration (CommonJS)
Running Tests
Test Structure
Tests are located in `__tests__` directories next to the files they test. The naming convention is `*.test.ts`.
Related Links
- [Multimodal MCP Client](https://github.com/Ejb503/multimodal-mcp-client) - Voice-powered MCP client
- [systemprompt.io Documentation](https://systemprompt.io/docs)