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MCP servers

@devdanks

代码仓库

基本信息

分类

其他

许可证

MIT license

传输方式

stdio

作者

devdanks

关于 MCP servers

暂无概览

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

MCP servers 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

MCP servers 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

What is Model Context Protocol servers?

This repository is a collection of reference implementations for the Model Context Protocol (MCP), showcasing how to give large language models secure, controlled access to tools and data sources. It includes both reference servers and third-party integrations, built with either the TypeScript or Python MCP SDK.

How to use Model Context Protocol servers?

Choose a server from the list of reference or third-party servers, then follow the instructions in its own directory within the repository. No general installation or configuration commands are provided; each server has its own README.

Key features of Model Context Protocol servers?

  • Reference implementations built with TypeScript or Python MCP SDKs
  • Diverse set of tools: web search, file operations, database queries, browser automation, and more
  • Secure, controlled access for LLMs to external data and services
  • Third-party servers maintained by companies for production use
  • Extensible design to demonstrate MCP capabilities

Use cases of Model Context Protocol servers?

  • Give an LLM the ability to search the web or local files
  • Enable LLMs to interact with databases (PostgreSQL, SQLite, Redis) in a read-only manner
  • Automate browser tasks and scrape web content
  • Manage GitHub repositories, Git operations, or cloud resources
  • Integrate with productivity platforms like Slack, Google Drive, or Sentry

常见问题

1

What SDKs are used to build these MCP servers?

The servers are implemented with either the TypeScript MCP SDK or the Python MCP SDK.

2

Are these servers production-ready?

The repository contains reference implementations intended to demonstrate MCP features, and third-party servers are maintained by companies for production use.

3

What types of data sources do the reference servers cover?

They cover web search, file systems, databases (PostgreSQL, SQLite, Redis), version control (Git, GitHub, GitLab), cloud

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