A lightweight, extensible MCP (Model Context Protocol) server for running prompt-based tools and file utilities. Designed for easy integration
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. That is what the mcp project helper mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.
The server publishes 2 tools. What each one is for:
tool-generator — Generates a tool description and prompt template based on a user querypalette — Suggests a harmonious color palette for a given colorSetup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.
Among the file and storage access options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. MCP Project Helper's toolset — tool-generator, palette — is a fair guide to whether it matches your workflow. It is maintained by ad; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against MCP Project Helper's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| tool-generator | Generates a tool description and prompt template based on a user query. |
| palette | Suggests a harmonious color palette for a given color. |
{
"mcpServers": {
"helper": {
"command": "/absolute/path/to/mcp-project-helper",
"args": ["-transport", "stdio"]
}
}
}Configuration as documented by the project. Restart the client after saving.
Scoped local file access — read, write, search and reorganise files in directories you explicitly allow.
Search and read your Drive — Docs, Sheets and files become context your assistant can actually use.
Query, modify and analyse local SQLite databases in conversation — the fastest way to chat with a data file.
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Chat with your second brain — search, read and write vault notes through the Local REST API.
Connects AI models to an Obsidian knowledge base for direct access and manipulation of notes and folders.