MCP Server

MCP Server

This MCP server provides access to resources and prompts from GitHub repositories or the local filesystem, enabling teams to share coding standards, documentation, and reusable prompts with AI tools like Claude.

Category
Visit Server

README

MCP Server

A Model Context Protocol (MCP) server that provides access to resources and prompts from different repository sources. This allows you to share coding standards, documentation, and reusable prompts across your team by storing them in a GitHub repository, making them accessible to Claude and other MCP-compatible AI tools.

Quick Start

The fastest way to get started is using a GitHub repository. First, create a repository with this structure:

your-repo/
├── index.json
├── resources/
│   └── your-resource.md
└── prompts/
    └── your-prompt.md

Create an index.json file that declares what resources and prompts are available:

{
  "resources": [
    {
      "name": "your-resource",
      "description": "Description of your resource"
    }
  ],
  "prompts": [
    {
      "name": "your-prompt",
      "description": "Description of your prompt"
    }
  ]
}

Add this to your Claude configuration:

{
  "mcpServers": {
    "mcp-server": {
      "command": "npx",
      "args": [
        "--yes",
        "github:cressie176/mcp-server",
        "--repository-type", "github",
        "--user", "your-username",
        "--repository", "your-repo"
      ]
    }
  }
}

Restart Claude and your resources and prompts will be available. You can confirm using the /mcp command.

See my prompts repository for examples.

Usage

GitHub Repository

Access resources and prompts from a GitHub repository:

npx --yes github:cressie176/mcp-server --repository-type github --user your-user --repository your-repo

GitHub Options:

  • --user: GitHub username
  • --organisation: GitHub organisation name
  • --repository: Repository name
  • --ref: Git reference (default: heads/main)
  • --path: Path within the repository (optional)
  • --log-level: Logging level (debug, info, warn, error, off)
  • --log-file: Log file path (default: debug.log)

Local File System

Access resources and prompts from a local directory (useful for testing):

npx --yes github:cressie176/mcp-server --repository-type filesystem --path ./path/to/folder

File System Options:

  • --path: Path to the directory containing your resources and prompts
  • --log-level: Logging level (debug, info, warn, error, off)
  • --log-file: Log file path (default: debug.log)

Repository Structure

Your repository (whether GitHub or local file system) should follow this structure:

├── index.json          # Defines available resources and prompts
├── resources/          # Directory containing resource files
│   └── *.md           # Markdown resource files
└── prompts/           # Directory containing prompt files
    └── *.md           # Markdown prompt files

index.json Format

{
  "resources": [
    {
      "name": "code-standards",
      "description": "Coding standards and guidelines"
    }
  ],
  "prompts": [
    {
      "name": "code-review",
      "description": "Perform a comprehensive code review"
    }
  ]
}

Claude Configuration

GitHub repositories:

{
  "mcpServers": {
    "your-server-name": {
      "command": "npx",
      "args": [
        "--yes",
        "github:cressie176/mcp-server"
        "--repository-type", "github",
        "--user", "your-username",
        "--repository", "your-repo"
      ]
    }
  }
}

FileSystem Repositories

Add the following to your claude configuration file:

{
  "mcpServers": {
    "your-server-name": {
      "command": "npx",
      "args": [
        "--yes",
        "github:cressie176/mcp-server",
        "--repository-type",
        "filesystem",
        "--path",
        "/path/to/your/data"
      ]
    }
  }
}

Development

Debugging with MCP Inspector

Use the MCP Inspector to debug and test your server:

npx @modelcontextprotocol/inspector node index.js --repository-type filesystem --path ./test/data

This will open a web interface where you can:

  • Test resource and prompt listings
  • Inspect server responses
  • Debug communication between client and server

Running Tests

npm test

Code Style

npm run lint
npm run format

License

ISC

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured