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Claude Prompts Mcp

A flexible, template-based prompt system server for Claude models, enabling standardized interactions and complex reasoning workflows through a TypeScript/Node.js MCP server with API support. Highly relevant as an MCP server for prompt management.

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About this tool

Claude Prompts MCP

Source: GitHub - minipuft/claude-prompts-mcp

Category: AI Integration MCP Servers

Tags: mcp, ai-integration, prompt-management, typescript, open-source


Description

Claude Prompts MCP is an open-source Node.js server implementing the Model Context Protocol (MCP) for Claude AI models. It enables users to create, manage, and use custom prompt templates with a modular, category-based system, supporting complex workflows and prompt chaining for advanced reasoning tasks.


Features

  • Easy Claude MCP Integration: Seamlessly connects with Claude models using the MCP protocol.
  • Custom Prompt Templates: Define prompts using Markdown files, including argument validation and metadata.
  • Prompt Arguments: Supports dynamic arguments with type validation for prompts.
  • Organized by Category: Prompts are organized in categories for better management and clarity.
  • Multiple Transport Options: Supports Server-Sent Events (SSE) and STDIO for flexible integration.
  • Context Placeholders: Use special placeholders (e.g., {{previous_message}}) to reference conversation history in prompts.
  • Prompt Chains: Define sequential chains of prompts to break down complex tasks into multiple steps, with variable mapping between steps.
  • Distributed Configuration: Prompts and categories are configured through JSON files for modular management.
  • Built-in Commands: Includes commands like listprompts, process_slash_command, and supports both double-colon (>>) and slash (/) command formats.
  • Prompt Management Tools: API endpoints for creating, updating, deleting, and modifying prompts and categories.
  • Server Management Tools: Endpoints to reload prompts, restart the server, and manage configuration dynamically.
  • Category Management: Create and manage prompt categories via API.
  • Chain Debugging: Tools and logs to help debug and test prompt chains.
  • API Support: RESTful endpoints for prompt and category management.
  • Extensible: Supports adding new categories, custom prompts, and extending with future tooling (e.g., planned web UI for management).
  • Logging: Server logs status and errors to a log file for troubleshooting and auditing.
  • Open Source: Licensed under MIT.

Usage

  • Running the Server:
    • Requires Node.js v16+ and npm/yarn.
    • Clone the repository, install dependencies, build, and start the server.
  • Integrating with Claude Desktop:
    • Add the MCP server configuration to your Claude Desktop config file, specifying the command, arguments, working directory, and environment variables.
  • Executing Prompts:
    • Use commands like >>prompt_name argument1=value1 or /prompt_name argument1=value1 in Claude Desktop.
    • Chain prompts can be executed with >>chain_command_name argument1=value1.
  • Managing Prompts and Categories:
    • Use provided API endpoints or built-in commands to manage prompts and categories.

Pricing

  • Open Source: Free to use under the MIT License.

Documentation

  • Detailed guides are available in the docs folder of the repository, covering installation, prompt format, chain execution, management, architecture, and API reference.

License

MIT License.

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Information

Websitegithub.com
PublishedMay 14, 2025

Categories

1 Item
Ai Integration Mcp Servers

Tags

5 Items
#mcp
#ai-integration
#prompt-management
#typescript
#open-source

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