mcpField
S
systemprompt-agent-server

systemprompt-agent-server

Local
github.com/Ejb503AI & Agents16Updated 88w ago

About systemprompt-agent-server

systemprompt-agent-server is an MCP server for creating and managing AI agents through system prompts and tools. It integrates with systemprompt.io and supports prompt versioning, resources, sampling, and notifications.

Key features

  1. 01Create and edit AI agents
  2. 02Manage versioned system prompts
  3. 03Create and browse agent resources
  4. 04Sampling and event notifications

Use cases

  1. 01Configuring agents with custom prompts and tools
  2. 02Maintaining prompt versions and metadata
  3. 03Providing agent resources to MCP clients

MCP support

Exposes agent, prompt, resource, and system-management tools to MCP clients. Sampling and notifications require clients that support those features; it is designed to work with multimodal-mcp-client.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"systemprompt-mcp-core": {
"command": "npx",
"args": [
"-y",
"@smithery/cli"
]
}
}
}
Run commandnpx -y @smithery/cli

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@smithery/cli

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

systemprompt-agent-server

npm version smithery badge License: Apache-2.0 Twitter Follow Discord

Website | Documentation | Blog | Get API Key

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.

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.

This server uses Sampling and Notification functionality from the @modelcontextprotocol/sdk. This will only work with advanced clients that support these features. A free opensource client 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 - 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

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

The demo showcases:

  • Voice-controlled AI interactions
  • Multimodal input processing
  • Tool execution and workflow automation
  • Real-time voice synthesis

Development

Install dependencies:

npm install

Build the server:

npm run build

For development with auto-rebuild:

npm run watch

Installation

Installing via Smithery

To install SystemPrompt Agent for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install systemprompt-agent-server --client claude
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

{
  "mcpServers": {
    "systemprompt-agent-server": {
      "command": "/path/to/systemprompt-agent-server/build/index.js"
    }
  }
}
Debugging

Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector, which is available as a package script:

npm run inspector

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)
// Source code imports (ESM)
import { Something } from "../path/to/module.js";

// Test file imports (CommonJS)
import { Something } from "../path/to/module";
Running Tests
# Run tests
npm test

# Watch mode
npm run test:watch

# Coverage report
npm run test:coverage
Test Structure

Tests are located in __tests__ directories next to the files they test. The naming convention is *.test.ts.

Related Links

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.