MCP.so
Sign In

Layer Prompt Manager

@vivek100

Repository

About Layer Prompt Manager

This helps you create a mcp server which your IDE can access to create and save prompts for you code base

#codepromptmanager#prompt-management#ai-integration

Basic information

Category

Developer Tools

License

MIT

Runtime

node

Transports

stdio

Publisher

vivek100

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "codePromptManagerMCP": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Layer Prompt Manager?

Layer Prompt Manager is an MCP server that saves, versions, and manages custom AI prompts for code repositories. It integrates with AI-powered IDEs like Cursor and GitHub Copilot, connecting your development environment to the Layer platform.

How to use Layer Prompt Manager?

Set up the backend (Python 3.8+, SQLite) and frontend (Node.js v16+), configure environment variables (LAYER_API_KEY, LAYER_BASE_URL, NEXT_PUBLIC_API_URL), then use the web UI to create, edit, version, and manage prompts and templates.

Key features of Layer Prompt Manager

  • Save prompts directly from your AI-powered IDE.
  • Version control for prompts with change notes.
  • Create, edit, and manage Layer prompts.
  • Pre-built and custom templates for team standardization.
  • Modern matrix-inspired dark mode UI.

Use cases of Layer Prompt Manager

  • Build a library of effective prompts specific to your codebase.
  • Standardize AI interactions across your development team.
  • Track prompt evolution and compare different versions.
  • Roll back to previous prompt versions when needed.
  • Share and reuse common prompt patterns with templates.

FAQ from Layer Prompt Manager

What is Layer Prompt Manager?

It saves and versions custom AI prompts for your code repositories, seamlessly integrating with AI-powered IDEs like Cursor and GitHub Copilot.

How do I set up Layer Prompt Manager?

Requires Node.js v16+, Python 3.8+, pip, and SQLite. Backend uses FastAPI; frontend uses Next.js. You need a Layer API key and base URL.

What environment variables are needed?

Backend: LAYER_API_KEY and LAYER_BASE_URL. Frontend: NEXT_PUBLIC_API_URL pointing to the backend server.

Can I manage versions of prompts?

Yes. Each prompt can have multiple versions with change notes. You can compare and restore previous versions.

Is there a template system?

Yes. You can use pre-existing templates and create your own to standardize AI interactions across your team.

Comments

More Developer Tools MCP servers

MCP Framework

QuantGeekDev

The Typescript MCP Framework

924

Burp Suite MCP Server Extension

PortSwigger

MCP Server for Burp

961

test

prysmaticlabs

Go implementation of Ethereum proof of stake

3.8K

Serena

oraios

A powerful MCP toolkit for coding, providing semantic retrieval and editing capabilities - the IDE for your agent

26.2K

TalkToFigma

sonnylazuardi

TalkToFigma: MCP integration between AI Agent (Cursor, Claude Code, Codex) and Figma, allowing Agentic AI to communicate with Figma for reading designs and modifying them programmatically.

6.9K