MCP servers

@thanhvinh199700

Repository

Basic information

About MCP servers

No overview available yet

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

MCP servers config

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

{
  "mcpServers": {
    "mcp-server-thanhvinh199700": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-memory"
      ]
    }
  }
}

MCP servers tools

Create multiple new entities in the knowledge graph

Create multiple new relations between entities in the knowledge graph. Relations should be in active voice

Add new observations to existing entities in the knowledge graph

Delete multiple entities and their associated relations from the knowledge graph

Delete specific observations from entities in the knowledge graph

Delete multiple relations from the knowledge graph

Read the entire knowledge graph

Search for nodes in the knowledge graph based on a query

Open specific nodes in the knowledge graph by their names

Overview

What is Model Context Protocol servers?

This repository is a collection of reference implementations for the Model Context Protocol (MCP), providing Large Language Models (LLMs) secure, controlled access to tools and data sources. It includes both official reference servers and community-built servers across diverse domains.

How to use Model Context Protocol servers?

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Key features of Model Context Protocol servers

Reference implementations using TypeScript or Python MCP SDKs
Official integrations from companies like Cloudflare, Stripe, and Grafana
Community-developed servers for various platforms and APIs
Demonstrates versatility and extensibility of the MCP protocol
Servers cover file systems, databases, web search, and more

Use cases of Model Context Protocol servers

Give LLMs read-only access to PostgreSQL or SQLite databases for querying
Enable AI assistants to manage GitHub repositories and issues
Allow LLMs to perform web searches via Brave Search or Kagi
Automate browser interactions with Puppeteer for web scraping
Build persistent memory systems using knowledge graphs

Frequently asked questions

Are community servers endorsed by Anthropic?

No. Community servers are untested, should be used at your own risk, and are not affiliated with or endorsed by Anthropic.

What SDKs are used to implement the servers?

Each MCP server is implemented with either the TypeScript MCP SDK or the Python MCP SDK.

How are servers listed in the README?

The lists are maintained in alphabetical order to minimize merge conflicts when adding new items.

What is the purpose of this repository?

It serves as a collection of reference implementations showcasing how MCP can give LLMs secure, controlled access to tools and data sources.

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