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Built-in → optional-skills/: mlops/training/peft → optional-skills/mlops/peft mlops/training/pytorch-fsdp → optional-skills/mlops/pytorch-fsdp mlops/models/clip → optional-skills/mlops/clip mlops/models/stable-diffusion → optional-skills/mlops/stable-diffusion mlops/models/whisper → optional-skills/mlops/whisper mlops/cloud/modal → optional-skills/mlops/modal mcp/mcporter → optional-skills/mcp/mcporter Built-in mlops training kept: axolotl, trl-fine-tuning, unsloth. Built-in mlops models kept: audiocraft, segment-anything. Built-in mlops evaluation/research/huggingface-hub/inference all kept. native-mcp stays built-in (documents the native MCP tool); mcporter was a redundant alternative CLI. Also: removed now-empty skills/mlops/cloud/ dir, refreshed skills/mlops/models/DESCRIPTION.md and skills/mcp/DESCRIPTION.md to match what's left, and synchronized both catalog pages (skills-catalog.md, optional-skills-catalog.md).
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| name | description | version | author | license | metadata | prerequisites | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| mcporter | Use the mcporter CLI to list, configure, auth, and call MCP servers/tools directly (HTTP or stdio), including ad-hoc servers, config edits, and CLI/type generation. | 1.0.0 | community | MIT |
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mcporter
Use mcporter to discover, call, and manage MCP (Model Context Protocol) servers and tools directly from the terminal.
Prerequisites
Requires Node.js:
# No install needed (runs via npx)
npx mcporter list
# Or install globally
npm install -g mcporter
Quick Start
# List MCP servers already configured on this machine
mcporter list
# List tools for a specific server with schema details
mcporter list <server> --schema
# Call a tool
mcporter call <server.tool> key=value
Discovering MCP Servers
mcporter auto-discovers servers configured by other MCP clients (Claude Desktop, Cursor, etc.) on the machine. To find new servers to use, browse registries like mcpfinder.dev or mcp.so, then connect ad-hoc:
# Connect to any MCP server by URL (no config needed)
mcporter list --http-url https://some-mcp-server.com --name my_server
# Or run a stdio server on the fly
mcporter list --stdio "npx -y @modelcontextprotocol/server-filesystem" --name fs
Calling Tools
# Key=value syntax
mcporter call linear.list_issues team=ENG limit:5
# Function syntax
mcporter call "linear.create_issue(title: \"Bug fix needed\")"
# Ad-hoc HTTP server (no config needed)
mcporter call https://api.example.com/mcp.fetch url=https://example.com
# Ad-hoc stdio server
mcporter call --stdio "bun run ./server.ts" scrape url=https://example.com
# JSON payload
mcporter call <server.tool> --args '{"limit": 5}'
# Machine-readable output (recommended for Hermes)
mcporter call <server.tool> key=value --output json
Auth and Config
# OAuth login for a server
mcporter auth <server | url> [--reset]
# Manage config
mcporter config list
mcporter config get <key>
mcporter config add <server>
mcporter config remove <server>
mcporter config import <path>
Config file location: ./config/mcporter.json (override with --config).
Daemon
For persistent server connections:
mcporter daemon start
mcporter daemon status
mcporter daemon stop
mcporter daemon restart
Code Generation
# Generate a CLI wrapper for an MCP server
mcporter generate-cli --server <name>
mcporter generate-cli --command <url>
# Inspect a generated CLI
mcporter inspect-cli <path> [--json]
# Generate TypeScript types/client
mcporter emit-ts <server> --mode client
mcporter emit-ts <server> --mode types
Notes
- Use
--output jsonfor structured output that's easier to parse - Ad-hoc servers (HTTP URL or
--stdiocommand) work without any config — useful for one-off calls - OAuth auth may require interactive browser flow — use
terminal(command="mcporter auth <server>", pty=true)if needed