MCP Project Helper
A lightweight, extensible MCP server for running prompt-based tools and file utilities, with support for custom prompts.
mcp-project-helper
A lightweight, extensible MCP (Model Context Protocol) server for running prompt-based tools and file utilities. Designed for easy integration, testing, and extension with custom prompts.
Features
- Prompt-based tools: Easily add new tools by writing simple JSON prompt files.
- File utilities: Includes tools for reading, writing, moving, and deleting files and directories.
- Custom prompts: Place your own prompt definitions in the
custom_prompts/directory. - Multiple transports: Supports STDIO, SSE, and HTTP for flexible integration.
- Extensive tests: Includes a test script to verify all tool endpoints.
Getting Started
Build Locally
make build-local
⚡ Quick Start
Install via go install
To quickly install the latest version from the repository:
go install github.com/ad/mcp-project-helper@latest
The binary will appear in $GOBIN or $HOME/go/bin (make sure this path is in your $PATH).
1. Build from source
# Clone the repository
git clone https://github.com/ad/mcp-project-helper.git
cd mcp-project-helper
go mod tidy
# Local build
make build-local
# Or manually
go build -o mcp-project-helper main.go
# Local build
make build-local
# Or manually
go build -o mcp-project-helper main.go
# Docker build
make build
Run the Server
- STDIO (default):
./mcp-project-helper
- SSE:
./mcp-project-helper -transport sse -port 8080 - HTTP:
./mcp-project-helper -transport http -port 8080
Run Tests
./test.sh
🔌 Integration
VS Code
go install github.com/ad/mcp-project-helper@latest
Добавьте в settings.json:
{
"mcp": {
"servers": {
"helper": {
"type": "stdio",
"command": "/absolute/path/to/project-helper",
"args": ["-transport", "stdio"]
}
}
}
}
Docker (VS Code)
{
"mcp": {
"servers": {
"helper": {
"type": "stdio",
"command": "docker",
"args": [
"run", "--rm", "-i",
"danielapatin/mcp-project-helper:latest",
"-transport", "stdio"
]
}
}
}
}
Claude Desktop
{
"mcpServers": {
"helper": {
"command": "/absolute/path/to/mcp-project-helper",
"args": ["-transport", "stdio"]
}
}
}
Adding Custom Tools
- Create a JSON file in
custom_prompts/(seepalette.jsonfor an example). - Each tool must define a
descriptionand apromptfield. - The tool will be automatically registered and available via the MCP protocol.
Example Tools
- tool-generator: Generates a tool description and prompt template based on a user query.
- palette: Suggests a harmonious color palette for a given color.
Project Structure
main.go— Main server entry pointprompts/— Built-in prompt toolscustom_prompts/— User-defined prompt toolstest.sh— End-to-end test scriptMakefile— Build and run commands
License
MIT
Похожие серверы
Alpha Vantage MCP Server
спонсорAccess financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more
convention.sh
Stop your AI agents from writing sloppy TypeScript.
MediaWiki
Interact with MediaWiki installations through the MediaWiki API as a bot user.
Laburen MCP Server
A template for deploying a remote, authentication-free MCP server on Cloudflare Workers.
MCP Shell
Execute secure shell commands from AI assistants and other MCP clients, with configurable security settings.
Mobile Xray MCP
Take screenshots and analyze mobile apps with AI assistance directly from your IDE.
JS Development MCP Server
A server for JavaScript/TypeScript development with intelligent project tooling and testing capabilities.
Micromanage
A server for managing sequential development tasks with configurable rules using external .mdc files.
MCP Remote Machine Control
Provides remote machine control capabilities, eliminating SSH overhead for token-efficient system operations.
Vibe Check
The definitive Vibe Coder's sanity check MCP server: Prevents cascading errors by calling a "Vibe-check" agent to ensure alignment and prevent scope creep
Cache Overflow
knowledge network for AI coding agents. Developers connect their agents to a shared pool of verified solutions — saving tokens, reducing debugging time, and getting better results. Solution authors earn when their work helps others.