skills/mcp-cli/SKILL.md
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.
npx skillsauth add williamlimasilva/.copilot mcp-cliInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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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 |
0: Success1: Client error (bad args, missing config)2: Server error (tool failed)3: Network errordevelopment
Build production RAG pipelines and persistent agent memory using Pinecone as the vector database backend. ALWAYS USE THIS SKILL when the user mentions Pinecone, wants to index documents for semantic search, build a retrieval-augmented generation system, store agent memory across sessions, implement hybrid search, or connect an LLM to a searchable knowledge base — even if they don't say "Pinecone" explicitly. Also use when the user asks about vector databases for RAG, namespace isolation for multi-tenant agents, embedding pipelines, or scaling a knowledge base beyond what local storage can handle. DO NOT use for local-only vector stores (Chroma, FAISS, pgvector) or pure keyword search with no semantic component.
development
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devops
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devops
Analyze AWS resource health, diagnose issues from CloudWatch logs and metrics, and create a remediation plan for identified problems.