Advertise
MCP.so
Sign In

Layer Prompt Manager MCP Server

@vivek100

Repository

Basic information

Category

Developer Tools

License

MIT

Transports

stdio

Author

vivek100

About Layer Prompt Manager MCP Server

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

Layer Prompt Manager MCP Server config

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

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

Layer Prompt Manager MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

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.

Frequently asked questions

1

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.

2

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.

3

What environment variables are needed?

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

4

Can I manage versions of prompts?

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

5

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

ArtiBot Cloud MCP - Zhijiangyun 智匠云

bofob

ArtiBot Cloud MCP (Zhijiangyun 智匠云) — cloud MCP server for robot manipulation data & GPU workloads. 15 tools: robot fleet management, data collection & video recording, post-processing pipelines, and benchmark evaluation

1

Casefile

azimov777

One case file per task — shared by every session, agent and person that touches it. Self-hosted MCP server and live board. MIT.

3

Termany

thinkany-ai

Agent-Native Terminal

174

Modelglass

Modelglass

Modelglass turns "which model should I use?" into a lookup instead of a guess. Seven tools give your agent live pricing across image, language, video, and audio models. Sourced and versioned, not scraped once and forgott

1

Rams

HSLA0001 Inc.

Design review for UI code, inside your agent. quick_review checks the files you just changed in about ten seconds. review_files returns a 0-100 score and patches. verify_fixes confirms the fixes landed, free. review_url

Advertise