LeaveRequestMcpClientServer

Name: LeaveRequestMcpClientServer
Author: isdaviddong

by isdaviddong

5 GitHub

No known CVEs

No license

Stale

Last commit 363d ago

Works with most clients

Transport: http

0 tools

Grade F

Edit this pageView history

Productivity

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktophttp · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "leaverequestmcpclientserver": {
      "command": "<see-readme>",
      "args": []
    }
  }
}

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Read me

What LeaveRequestMcpClientServer does

appsettings.json: 儲存應用程式設定，例如 OpenAI API 金鑰與模型 ID。 - McpClientApp.csproj: 專案檔案，定義此應用程式的依賴與目標框架。 - Program.cs: 主程式入口，包含 Semantic Kernel 與 MCP Client 的初始化邏輯。 - bin/Debug/net8.0/: 編譯輸出的目錄，包含應用程式的 DLL、執行檔與依賴。

Test This Server

No automated test available for this server. Check the GitHub README for setup instructions.

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Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

22/100across 5 weighted dimensions

How we score →

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−78

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Compatibility

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Security

OSV.dev

No known CVEs.

No package registry to scan.

Community

Reviews

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How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is LeaveRequestMcpClientServer safe to use?: LeaveRequestMcpClientServer has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install LeaveRequestMcpClientServer?: LeaveRequestMcpClientServer can be installed by cloning its GitHub repository and following the setup instructions in the README.
What AI clients work with LeaveRequestMcpClientServer?: LeaveRequestMcpClientServer is compatible with claude-desktop, cursor, claude-code. It uses http transport.
Is LeaveRequestMcpClientServer actively maintained?: LeaveRequestMcpClientServer is less actively maintained — last commit was 363 days ago. It has 5 GitHub stars.

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Community

Discussion

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Has anyone used this with Cursor?How do you handle auth?Any alternatives?

專案結構

McpClientApp

appsettings.json: 儲存應用程式設定，例如 OpenAI API 金鑰與模型 ID。

McpClientApp.csproj: 專案檔案，定義此應用程式的依賴與目標框架。

Program.cs: 主程式入口，包含 Semantic Kernel 與 MCP Client 的初始化邏輯。

bin/Debug/net8.0/: 編譯輸出的目錄，包含應用程式的 DLL、執行檔與依賴。

obj/: 編譯過程中的中間檔案目錄。

McpServer

McpServer.csproj: MCP Server 的專案檔案。

Program.cs: MCP Server 的主程式入口。

bin/Debug/net8.0/: MCP Server 的編譯輸出目錄。

obj/: MCP Server 的中間檔案目錄。

使用方式

確保已安裝 .NET 8.0 SDK。

在 McpClientApp 資料夾中執行以下命令以還原依賴：

dotnet restore
dotnet build

執行 MCP Server(可以不用自己執行，執行Client即可)：

dotnet run --project ../McpServer/McpServer.csproj

執行 MCP Client(主要是這隻)：

dotnet run --project McpClientApp.csproj

Frequently Asked Questions

Is LeaveRequestMcpClientServer safe to use?

LeaveRequestMcpClientServer has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.

How do I install LeaveRequestMcpClientServer?

LeaveRequestMcpClientServer can be installed by cloning its GitHub repository and following the setup instructions in the README.

What AI clients work with LeaveRequestMcpClientServer?

LeaveRequestMcpClientServer is compatible with claude-desktop, cursor, claude-code. It uses http transport.

Is LeaveRequestMcpClientServer actively maintained?

LeaveRequestMcpClientServer is less actively maintained — last commit was 363 days ago. It has 5 GitHub stars.

MCP Chat Console App

專案結構

McpClientApp

appsettings.json: 儲存應用程式設定，例如 OpenAI API 金鑰與模型 ID。
McpClientApp.csproj: 專案檔案，定義此應用程式的依賴與目標框架。
Program.cs: 主程式入口，包含 Semantic Kernel 與 MCP Client 的初始化邏輯。
bin/Debug/net8.0/: 編譯輸出的目錄，包含應用程式的 DLL、執行檔與依賴。
obj/: 編譯過程中的中間檔案目錄。

McpServer

McpServer.csproj: MCP Server 的專案檔案。
Program.cs: MCP Server 的主程式入口。
bin/Debug/net8.0/: MCP Server 的編譯輸出目錄。
obj/: MCP Server 的中間檔案目錄。

使用方式

確保已安裝 .NET 8.0 SDK。
在 McpClientApp 資料夾中執行以下命令以還原依賴：
```
dotnet restore
dotnet build
```
執行 MCP Server(可以不用自己執行，執行Client即可)：
```
dotnet run --project ../McpServer/McpServer.csproj
```

執行 MCP Client(主要是這隻)：

dotnet run --project McpClientApp.csproj

依賴套件

Microsoft.SemanticKernel: 用於整合 OpenAI 與 MCP 工具。
Microsoft.Extensions.Configuration.Json: 用於載入 appsettings.json。
Microsoft.Bcl.AsyncInterfaces: 提供非同步介面支援。

注意事項

確保 appsettings.json 包含正確的 OpenAI API 金鑰與模型 ID。
MCP Server 的執行檔案路徑需正確配置。