Interface for MCP (Model Context Protocol) servers via CLI. Use when you need to interact with external tools, APIs, or data sources through MCP servers, list available MCP servers/tools, or call MCP tools from command line.
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Access MCP servers through the command line. MCP enables interaction with external systems like GitHub, filesystems, databases, and APIs.
| Command | Output |
|---|---|
mcp-cli | List all servers and tool names |
mcp-cli <server> | Show tools with parameters |
mcp-cli <server>/<tool> | Get tool JSON schema |
mcp-cli <server>/<tool> '<json>' | Call tool with arguments |
mcp-cli grep "<glob>" | Search tools by name |
Add -d to include descriptions (e.g., mcp-cli filesystem -d)
mcp-cli → see available servers and toolsmcp-cli <server> → see tools with parametersmcp-cli <server>/<tool> → get full JSON input schemamcp-cli <server>/<tool> '<json>' → run with arguments# List all servers and tool names
mcp-cli
# See all tools with parameters
mcp-cli filesystem
# With descriptions (more verbose)
mcp-cli filesystem -d
# Get JSON schema for specific tool
mcp-cli filesystem/read_file
# Call the tool
mcp-cli filesystem/read_file '{"path": "./README.md"}'
# Search for tools
mcp-cli grep "*file*"
# JSON output for parsing
mcp-cli filesystem/read_file '{"path": "./README.md"}' --json
# Complex JSON with quotes (use heredoc or stdin)
mcp-cli server/tool <<EOF
{"content": "Text with 'quotes' inside"}
EOF
# Or pipe from a file/command
cat args.json | mcp-cli server/tool
# Find all TypeScript files and read the first one
mcp-cli filesystem/search_files '{"path": "src/", "pattern": "*.ts"}' --json | jq -r '.content[0].text' | head -1 | xargs -I {} sh -c 'mcp-cli filesystem/read_file "{\"path\": \"{}\"}"'
| Flag | Purpose |
|---|---|
-j, --json | JSON output for scripting |
-r, --raw | Raw text content |
-d | Include descriptions |
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Primary accessibility skill for VS Code. REQUIRED for new feature and contribution work, and also applies to updates of existing UI. Covers accessibility help dialogs, accessible views, verbosity settings, signals, ARIA announcements, keyboard navigation, and ARIA labels/roles.
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Use this skill when the user explicitly asks to map, document, or onboard into an existing codebase. Trigger for prompts like "map this codebase", "document this architecture", "onboard me to this repo", or "create codebase docs". Do not trigger for routine feature implementation, bug fixes, or narrow code edits unless the user asks for repository-level discovery.
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Act on user feedback attached to the current session. Use when the user submits feedback on the session's changes via the Submit Feedback button.
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Add educational comments to the file specified, or prompt asking for file to comment if one is not provided.
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Use when adding, modifying, or reviewing VS Code configuration policies. Covers the full policy lifecycle from registration to export to platform-specific artifacts. Run on ANY change that adds a `policy:` field to a configuration property.
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Patterns and techniques for adding governance, safety, and trust controls to AI agent systems. Use this skill when: - Building AI agents that call external tools (APIs, databases, file systems) - Implementing policy-based access controls for agent tool usage - Adding semantic intent classification to detect dangerous prompts - Creating trust scoring systems for multi-agent workflows - Building audit trails for agent actions and decisions - Enforcing rate limits, content filters, or tool restrictions on agents - Working with any agent framework (PydanticAI, CrewAI, OpenAI Agents, LangChain, AutoGen)
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