configure-mcp-server
关于
This skill configures MCP servers for Claude Code and Claude Desktop, including mcptools setup and Hugging Face integration. It handles WSL path configuration and multi-client setups, particularly for connecting Claude Code to R via mcptools. Use it when setting up MCP servers or troubleshooting connectivity between clients and servers.
快速安装
Claude Code
推荐npx skills add pjt222/agent-almanac -a claude-code/plugin add https://github.com/pjt222/agent-almanacgit clone https://github.com/pjt222/agent-almanac.git ~/.claude/skills/configure-mcp-server在 Claude Code 中复制并粘贴此命令以安装该技能
技能文档
MCP-Server konfigurieren
Einrichten MCP server connections for Claude Code (WSL) and Claude Desktop (Windows).
Wann verwenden
- Setting up Claude Code to connect to R via mcptools
- Configuring Claude Desktop with MCP servers
- Adding Hugging Face or other remote MCP servers
- Troubleshooting MCP connectivity zwischen tools
Eingaben
- Erforderlich: MCP server type (mcptools, Hugging Face, custom)
- Erforderlich: Client (Claude Code, Claude Desktop, or both)
- Optional: Authentication tokens
- Optional: Custom server implementation
Vorgehensweise
Schritt 1: Installieren MCP Server Packages
For R (mcptools):
install.packages("remotes")
remotes::install_github("posit-dev/mcptools")
For Hugging Face:
npm install -g mcp-remote
Erwartet: mcptools installs from GitHub and loads in R ohne errors. mcp-remote ist verfuegbar globally via which mcp-remote or npm list -g mcp-remote.
Bei Fehler: For mcptools, ensure remotes is installed first. If GitHub rate-limits the install, set a GITHUB_PAT in ~/.Renviron. For mcp-remote, verify Node.js and npm are installed and on PATH.
Schritt 2: Konfigurieren Claude Code (WSL)
R mcptools server:
claude mcp add r-mcptools stdio \
"/mnt/c/Program Files/R/R-4.5.0/bin/Rscript.exe" \
-- -e "mcptools::mcp_server()"
Hugging Face server:
claude mcp add hf-mcp-server \
-e HF_TOKEN=your_token_here \
-- mcp-remote https://huggingface.co/mcp
Verifizieren configuration:
claude mcp list
claude mcp get r-mcptools
Erwartet: claude mcp list shows both r-mcptools and hf-mcp-server (or whichever servers were added). claude mcp get r-mcptools displays the correct command and arguments.
Bei Fehler: If der Server nicht appear in the list, verify ~/.claude.json contains the correct entry. If the claude command ist nicht found, add it to PATH: export PATH="$HOME/.claude/local/node_modules/.bin:$PATH".
Schritt 3: Konfigurieren Claude Desktop (Windows)
Edit %APPDATA%\Claude\claude_desktop_config.json:
{
"mcpServers": {
"r-mcptools": {
"command": "C:\\PROGRA~1\\R\\R-45~1.0\\bin\\x64\\Rscript.exe",
"args": ["-e", "mcptools::mcp_server()"]
},
"hf-mcp-server": {
"command": "mcp-remote",
"args": ["https://huggingface.co/mcp"],
"env": {
"HF_TOKEN": "your_token_here"
}
}
}
}
Important: Use 8.3 short paths for Windows directories with spaces (PROGRA~1 not Program Files). Use Umgebungsvariables for tokens, not --header arguments.
Erwartet: The JSON config file at %APPDATA%\Claude\claude_desktop_config.json is valid JSON with the correct server entries. Claude Desktop shows MCP server indicators nach restart.
Bei Fehler: Validieren the JSON with a linter (e.g., jq . < config.json). Use 8.3 short paths (PROGRA~1) if Windows path spaces cause parsing errors. Sicherstellen Claude Desktop is fully restarted (not just minimized).
Schritt 4: Konfigurieren R Session for MCP
Hinzufuegen to project .Rprofile:
if (requireNamespace("mcptools", quietly = TRUE)) {
mcptools::mcp_session()
}
This starts the MCP session automatisch when opening das Projekt in RStudio.
Erwartet: The .Rprofile file conditionally starts mcptools::mcp_session() when das Projekt is opened in RStudio, making MCP tools available automatisch.
Bei Fehler: If mcptools ist nicht found at session start, verify it is installed in the library that RStudio uses (check .libPaths()). If using renv, ensure mcptools is in the renv library.
Schritt 5: Verifizieren Connections
Testen R MCP from WSL:
"/mnt/c/Program Files/R/R-4.5.0/bin/Rscript.exe" -e "mcptools::mcp_server()"
Testen from innerhalb Claude Code:
Starten Claude Code and use MCP tools — they should appear in the tool list.
Testen Claude Desktop:
Restart Claude Desktop nach configuration changes. Pruefen auf MCP server indicators in the UI.
Erwartet: Running Rscript with mcptools::mcp_server() produces output ohne errors. MCP tools appear in the Claude Code tool list waehrend an active session. Claude Desktop shows server status nach restart.
Bei Fehler: If the Rscript command fails, check the full path is correct (ls "/mnt/c/Program Files/R/" to verify R version). If tools don't appear in Claude Code, restart the session. For Claude Desktop, check firewall settings.
Schritt 6: Multi-Server Configuration
Both Claude Code and Claude Desktop support multiple MCP servers simultaneously:
# Claude Code: add multiple servers
claude mcp add r-mcptools stdio "/path/to/Rscript.exe" -- -e "mcptools::mcp_server()"
claude mcp add hf-mcp-server -e HF_TOKEN=token -- mcp-remote https://huggingface.co/mcp
claude mcp add custom-server stdio "/path/to/server" -- --port 3001
Erwartet: Multiple MCP servers configured and accessible simultaneously. claude mcp list shows all servers. Each server's tools are available in the same Claude Code session.
Bei Fehler: If servers conflict, check that each has a unique name in die Konfiguration. If one server blocks others, verify servers use non-blocking I/O (stdio transport handles this automatisch).
Validierung
-
claude mcp listshows all configured servers - R MCP server responds to tool calls
- Hugging Face MCP server authenticates and responds
- Both Claude Code and Claude Desktop can connect (if both configured)
- MCP tools appear in the tool list waehrend sessions
Haeufige Stolperfallen
- Windows path spaces: Use 8.3 short names or quote paths korrekt. Different tools parse paths differently.
- Token in command args: On Windows,
--header "Authorization: Bearer token"fails due to parsing. Use Umgebungsvariables stattdessen. - Confusing Claude Code and Claude Desktop configs: These are separate tools with separate config files (
~/.claude.jsonvs%APPDATA%\Claude\) - npx vs global install:
npx mcp-remotemay fail in Claude Desktop context. Installieren globally withnpm install -g mcp-remote. - mcptools version: Sicherstellen mcptools is up to date. It requires the
ellmerpackage as a Abhaengigkeit.
Verwandte Skills
build-custom-mcp-server- creating your own MCP servertroubleshoot-mcp-connection- debugging connection issuessetup-wsl-dev-environment- WSL setup prerequisite
GitHub 仓库
相关推荐技能
qmd
开发这是一个本地搜索和索引的CLI工具,支持BM25、向量搜索和重排序功能。开发者可以用它快速索引本地文件(如Markdown文档)并进行混合搜索,特别适合代码库或文档的本地检索。它还提供MCP模式,能轻松集成到Claude开发环境中使用。
subagent-driven-development
开发该Skill用于在当前会话中执行包含独立任务的实施计划,它会为每个任务分派一个全新的子代理并在任务间进行代码审查。这种"全新子代理+任务间审查"的模式既能保障代码质量,又能实现快速迭代。适合需要在当前会话中连续执行独立任务,并希望在每个任务后都有质量把关的开发场景。
mcporter
开发mcporter Skill 让开发者能在Claude中直接管理和调用MCP服务器。它支持列出可用服务器、调用工具、处理OAuth认证以及管理服务器守护进程。开发者可以通过命令行式交互快速执行`mcporter list`查看服务器,或使用`mcporter call`直接调用工具,简化了MCP工作流程。
adk-deployment-specialist
开发这是一个用于部署和编排Google Vertex AI ADK智能体的Claude Skill,专为构建生产级多智能体系统而设计。它支持通过A2A协议进行智能体通信,提供代码执行沙箱和记忆库功能,并能处理智能体发现与任务提交。当开发者需要部署ADK智能体或编排多智能体协作时,可使用此Skill来简化Vertex AI Agent Engine的部署流程。
