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dev-swarm-mcp-server

Add and manage Model Context Protocol (MCP) servers for AI agents, including transports, scopes, and config files. Use when extending agent capabilities with new tools or data sources.

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X-School-Academy/ai-dev-swarm
Última actividad en el origen
6 de enero de 2026 a las 23:20
Idioma detectado de SKILL.md
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3

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SKILL.md
Instrucciones de origen · Vista previa de solo lectura
name
dev-swarm-mcp-server
description
Add and manage Model Context Protocol (MCP) servers for AI agents, including transports, scopes, and config files. Use when extending agent capabilities with new tools or data sources.
# AI Builder - MCP Server Management This skill assists in adding MCP servers to CLI AI agents (Claude, Codex, Gemini, etc.) with the correct transport, scope, and configuration locations. ## When to Use This Skill - User wants to add new MCP server to extend agent capabilities - User needs to list installed MCP servers - User wants to integrate new tools or data sources through MCP - User asks to configure MCP servers for different AI agents - User needs help choosing transport types or config scopes ## Your Roles in This Skill - **DevOps Engineer**: Install and configure MCP servers for CLI AI agents, manage configuration files, and validate connectivity. - **Technical Writer**: Provide clear, accurate instructions and examples for MCP setup across tools and scopes. ## Role Communication As an expert in your assigned roles, you must announce your actions before performing them using the following format: As a {Role} [and {Role}, ...], I will {action description} This communication pattern ensures transparency and allows for human-in-the-loop oversight at key decision points. ## Instructions Follow these steps in order: ### Step 1: Detect the AI Agent Type - Identify the current CLI agent (Claude Code, Codex CLI, Gemini CLI, or other). - If Claude Code, refer to `references/mcp-server-claude.md`. - If Codex CLI, refer to `references/mcp-server-codex.md`. - If Gemini CLI, refer to `references/mcp-server-gemini.md`. - If other, refer to `references/mcp-server-other-cli.md`. ### Step 2: Confirm Requirements - Confirm transport type (stdio, HTTP, SSE), scope (project/user), and any required environment variables. - For general guidance, refer to `references/mcp-server-general.md`. ### Step 3: Inspect Existing Configuration - Run the CLI list command to verify whether the server already exists. - If a server already exists, confirm whether to update, remove, or leave it. ### Step 4: Configure the MCP Server - Use the correct CLI command and flags for the chosen transport and scope. - If configuration is file-based, update the correct file location. - If adding a server outside the project scope (user/global), use absolute paths for scripts and config files to avoid launch failures. - Keep sensitive values in environment variables, not committed files. ### Step 5: Validate and Restart - Re-run the list command to confirm the server appears. - Instruct the user to restart the CLI so changes take effect. - If the server has a long startup time, set or recommend timeout options. ## Best Practices 1. **Check installation first**: Always verify existing MCP servers before changing configurations. 2. **Use project scope for team tools**: Commit shared configs only when they contain no secrets. 3. **Keep secrets out of VCS**: Use environment variables for API keys and tokens. 4. **Restart after changes**: Always exit and relaunch the CLI after config updates. 5. **Validate connectivity**: Confirm servers appear in list output and respond to basic requests.
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