Model Context Protocol servers

Name: Model Context Protocol servers
Author: w-jeon

@w-jeon

Repository

About Model Context Protocol servers

No overview available yet

#mcp-servers #model-context-protocol #llm-integration

Basic information

Config

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

{
  "mcpServers": {
    "mcp-servers-w-jeon": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-memory"
      ]
    }
  }
}

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 Model Context Protocol servers?

A collection of reference implementations for the Model Context Protocol (MCP), along with references to community-built servers. It demonstrates how MCP gives Large Language Models (LLMs) secure, controlled access to tools and data sources.

How to use Model Context Protocol servers?

Each reference server is implemented with either the TypeScript or Python MCP SDK. Consult the server’s directory for specific usage instructions.

Key features of Model Context Protocol servers

Collection of reference MCP server implementations in TypeScript and Python.
Demonstrates secure, controlled tool and data access for LLMs.
Includes official integrations from companies like Browserbase, Cloudflare, Neo4j, and more.
Features a growing set of community-developed servers across various domains.
Lists are maintained in alphabetical order to minimize merge conflicts.

Use cases of Model Context Protocol servers

Secure file operations with configurable access controls (Filesystem server).
Read-only database access with schema inspection (PostgreSQL server).
Web content fetching and conversion for efficient LLM usage (Fetch server).
Knowledge graph-based persistent memory for conversational context (Memory server).
Browser automation and web scraping (Puppeteer server).