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MCP servers

@thanhvinh199700

リポジトリ

基本情報

カテゴリ

その他

ライセンス

MIT license

トランスポート

stdio

作者

thanhvinh199700

MCP servers について

概要はまだありません

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

MCP servers の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

MCP servers のツール

9

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

概要

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?

—

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

よくある質問

1

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.

2

What SDKs are used to implement the servers?

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

3

How are servers listed in the README?

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

4

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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