SystemPrompt MCP Server
systemprompt-agent-server
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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. It works in conjunction with the multimodal-mcp-client to provide a complete voice-powered AI workflow solution.
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.
Required Client
This server is designed to work with the 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 and other MCP-compatible clients
- Open Source: Free to use and modify under the MIT license
Features
🎥 Demo & Showcase
Watch our video demonstration to see Systemprompt MCP Client in action:
The demo showcases:
- Voice-controlled AI interactions
- Multimodal input processing
- Tool execution and workflow automation
- Real-time voice synthesis
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
Tools
- Extend agent capabilities with custom tools
- Built-in tools include:
create_prompt
- Create new system prompts with metadataedit_prompt
- Update existing system prompts with versioningcreate_resource
- Create new agent resources and configurationsedit_resource
- Modify existing agent resourceslist_resources
- Browse available agent resourcesread_resource
- Access specific agent resource content
- Add your own tools through the MCP interface
Prompts
- Create and version system prompts
- Manage prompt templates
- Access structured prompts for various use cases
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:
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, 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
.
Test Utilities
The project provides a comprehensive set of test utilities in src/__tests__/test-utils.ts
:
Best Practices
- Always provide proper types for prompt inputs and outputs
- Include comprehensive metadata for better prompt management
- Use the built-in validation before creating prompts
- Follow the systemprompt.io format guidelines
Contributing
- Fork the repository
- Create your feature branch
- Commit your changes
- Push to the branch
- Create a new Pull Request
License
MIT
Related Links
- Multimodal MCP Client - Voice-powered MCP client
- systemprompt.io Documentation
This TypeScript-based server implements a simple notes system, allowing users to create and manage text notes and generate summaries, showcasing core MCP concepts.