Claude Prompts MCP server

Provides a flexible, template-based prompt system for Claude models that enables standardized interactions, complex reasoning workflows, and multi-step prompt chains through a TypeScript/Node.js server with comprehensive API support.
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Setup instructions
Provider
minipuft
Release date
Mar 18, 2025
Language
TypeScript
Stats
58 stars

Claude Prompts MCP Server is a powerful implementation of the Model Context Protocol (MCP) that allows you to manage and execute AI prompts through conversation. This server works with Claude Desktop, Cursor Windsurf, and any MCP-compatible client, enabling advanced prompt management with features like hot-reload, templating, and multi-step workflows.

Installation

Get started with a simple one-command installation:

git clone https://github.com/minipuft/claude-prompts-mcp.git
cd claude-prompts-mcp/server && npm install && npm run build && npm start

Client Integration

Claude Desktop

Add this to your claude_desktop_config.json:

{
  "mcpServers": {
    "claude-prompts-mcp": {
      "command": "node",
      "args": ["E:\\path\\to\\claude-prompts-mcp\\server\\dist\\index.js"],
      "env": {
        "MCP_PROMPTS_CONFIG_PATH": "E:\\path\\to\\claude-prompts-mcp\\server\\promptsConfig.json"
      }
    }
  }
}

Cursor Windsurf & Other MCP Clients

Configure your MCP client with:

  • Command: node
  • Args: ["path/to/claude-prompts-mcp/server/dist/index.js"]
  • Environment: MCP_PROMPTS_CONFIG_PATH=path/to/promptsConfig.json

Pro Tip: Always use absolute paths for reliable integration.

Usage

Once installed, you can interact with the server through your MCP client:

Basic Commands

Discover available prompts:

>>listprompts

Execute a prompt:

>>friendly_greeting name="Developer"

Execute a prompt with JSON data:

>>research_prompt {"topic": "AI trends", "depth": "comprehensive", "format": "executive summary"}

Interactive Prompt Management

You can create and modify prompts directly through conversation with your AI assistant:

"Create a prompt called 'bug_analyzer' that helps me debug code issues systematically"

Refine existing prompts:

"Make the bug_analyzer prompt also suggest performance improvements"

Configuration

Server Configuration

Fine-tune your server's behavior in config.json:

{
  "server": {
    "name": "Claude Custom Prompts MCP Server",
    "version": "1.0.0",
    "port": 9090
  },
  "prompts": {
    "file": "promptsConfig.json",
    "registrationMode": "name"
  },
  "transports": {
    "default": "stdio",
    "sse": { "enabled": false },
    "stdio": { "enabled": true }
  }
}

Prompt Organization

Structure your AI command library in promptsConfig.json:

{
  "categories": [
    {
      "id": "development",
      "name": "🔧 Development",
      "description": "Code review, debugging, and development workflows"
    },
    {
      "id": "analysis",
      "name": "📊 Analysis",
      "description": "Content analysis and research prompts"
    }
  ],
  "imports": [
    "prompts/development/prompts.json",
    "prompts/analysis/prompts.json"
  ]
}

Advanced Features

Template Engine

Create dynamic prompts using Nunjucks templating:

Analyze {{content}} for {% if focus_area %}{{focus_area}}{% else %}general{% endif %} insights.

{% for requirement in requirements %}
- Consider: {{requirement}}
{% endfor %}

{% if previous_context %}
Build upon: {{previous_context}}
{% endif %}

Multi-Step Prompt Chains

Build sophisticated workflows that connect multiple prompts:

{
  "id": "content_analysis_chain",
  "name": "Content Analysis Chain",
  "isChain": true,
  "chainSteps": [
    {
      "stepName": "Extract Key Points",
      "promptId": "extract_key_points",
      "inputMapping": { "content": "original_content" },
      "outputMapping": { "key_points": "extracted_points" }
    },
    {
      "stepName": "Analyze Sentiment",
      "promptId": "sentiment_analysis",
      "inputMapping": { "text": "extracted_points" },
      "outputMapping": { "sentiment": "analysis_result" }
    }
  ]
}

Real-Time Management

Manage your prompts without server restarts:

>>update_prompt id="analysis_prompt" content="new template"
>>modify_prompt_section id="research" section="examples" content="new examples"
>>reload_prompts reason="updated templates"

Client Compatibility

This server implements the Model Context Protocol (MCP) standard and works with:

  • Claude Desktop (fully tested)
  • Cursor Windsurf (native MCP compatibility)
  • Any MCP-compatible client

It supports multiple transport methods including STDIO (for desktop clients) and Server-Sent Events (SSE) for web-based integrations.

How to install this MCP server

For Claude Code

To add this MCP server to Claude Code, run this command in your terminal:

claude mcp add-json "claude-prompts-mcp" '{"command":"node","args":["path/to/claude-prompts-mcp/server/dist/index.js"],"env":{"MCP_PROMPTS_CONFIG_PATH":"path/to/claude-prompts-mcp/server/promptsConfig.json"}}'

See the official Claude Code MCP documentation for more details.

For Cursor

There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json file so that it is available in all of your projects.

If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json file.

Adding an MCP server to Cursor globally

To add a global MCP server go to Cursor Settings > Tools & Integrations and click "New MCP Server".

When you click that button the ~/.cursor/mcp.json file will be opened and you can add your server like this:

{
    "mcpServers": {
        "claude-prompts-mcp": {
            "command": "node",
            "args": [
                "path/to/claude-prompts-mcp/server/dist/index.js"
            ],
            "env": {
                "MCP_PROMPTS_CONFIG_PATH": "path/to/claude-prompts-mcp/server/promptsConfig.json"
            }
        }
    }
}

Adding an MCP server to a project

To add an MCP server to a project you can create a new .cursor/mcp.json file or add it to the existing one. This will look exactly the same as the global MCP server example above.

How to use the MCP server

Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.

The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.

You can also explicitly ask the agent to use the tool by mentioning the tool name and describing what the function does.

For Claude Desktop

To add this MCP server to Claude Desktop:

1. Find your configuration file:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json
  • Linux: ~/.config/Claude/claude_desktop_config.json

2. Add this to your configuration file:

{
    "mcpServers": {
        "claude-prompts-mcp": {
            "command": "node",
            "args": [
                "path/to/claude-prompts-mcp/server/dist/index.js"
            ],
            "env": {
                "MCP_PROMPTS_CONFIG_PATH": "path/to/claude-prompts-mcp/server/promptsConfig.json"
            }
        }
    }
}

3. Restart Claude Desktop for the changes to take effect

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