Smithery Ai Cli logo

Smithery Ai Cli

Organization
arcadeai-labs
smithery-ai-cli

Find, connect, and use MCP tools and skills via the Smithery CLI. Use when the user searches for new tools or skills, wants to discover integrations, connect to an MCP, install a skill, or wants to interact with an external service (email, Slack, Discord, GitHub, Jira, Notion, databases, cloud APIs, monitoring, etc.).

Overview

Publisherarcadeai-labs
Repositorysmithery-cli
Skill namesmithery-ai-cli
Stars
840
Forks
98
Bundled files
Instructions only
LicenseAGPL-3.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by arcadeai-labs on GitHub. Read the source before you install it.

Installation

Install the Smithery Ai Cli AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/arcadeai-labs/smithery-cli/tree/main/skills/smithery-ai-cli
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/arcadeai-labs/smithery-cli.git /tmp/smithery-cli
mkdir -p .claude/skills
cp -r /tmp/smithery-cli/skills/smithery-ai-cli .claude/skills/smithery-ai-cli
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Smithery Ai Cli in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Smithery Ai Cli on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Smithery Ai Cli is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Smithery

The marketplace for AI agents. Connect to 100K+ tools and skills instantly.

Use smithery --help and <command> --help for flags, arguments, and full examples. This skill focuses on concepts and canonical workflows.

Quick Start

bash
# 1. Install
npm install -g @smithery/cli

# 2. Authenticate (requires human to confirm in browser)
smithery auth login

# 3. Search for MCP servers
smithery mcp search "github"

# 4. Connect to a server (URL or qualified name both work)
smithery mcp add "https://github.run.tools" --id github

# 5. Browse tools (tree view — drill into groups by passing the prefix)
smithery tool list github
smithery tool list github issues.

# 6. Inspect tool input/output JSON schema
smithery tool get github issues.create

# 7. Call a tool
smithery tool call github issues.create '{"repo": "owner/repo", "title": "Bug"}'

Core Concepts

Namespaces

A namespace is the workspace boundary for Smithery resources. Servers, connections, and skills all live in a namespace. Use one namespace per app/environment (for example, my-app-dev, my-app-prod), then set it as your active context. Canonical flow:

bash
smithery namespace list
smithery namespace create my-app-prod
smithery namespace use my-app-prod

For namespace-specific flags and overrides, run smithery namespace --help and smithery mcp --help.

Connect (MCP Connections)

A connection is a managed, long-lived MCP session. Smithery Connect handles OAuth flow, credential storage, token refresh, and session lifecycle. Connection status model:

  • connected: ready to list/call tools
  • auth_required: human must open authorization URL
  • error: inspect details and retry/fix config

Canonical flow (single user-scoped connection):

bash
smithery mcp add https://github.run.tools \
  --id user-123-github \
  --metadata '{"userId":"user-123"}'

smithery mcp list --metadata '{"userId":"user-123"}'
smithery tool list user-123-github

If CLI shows auth_required, tell your human to open the URL and then retry.

Token Scoping

Service tokens are restricted credentials for browser/mobile/agent usage. Never pass a full API key to untrusted code. Policy mental model:

  • A token policy is one or more constraints
  • In the CLI, pass one JSON object per --policy flag
  • Fields inside one constraint are AND-ed (more fields = narrower)
  • Lists and multiple constraints are OR-ed (more entries = wider)

Canonical user-scoped token:

bash
smithery auth token --policy '{
  "namespaces": "my-app",
  "resources": "connections",
  "operations": ["read", "execute"],
  "metadata": { "userId": "user-123" },
  "ttl": "1h"
}'

Request-level Tool Restrictions (rpcReqMatch, experimental)

Use rpcReqMatch to restrict specific MCP JSON-RPC requests (regex by request path). Important: connection IDs are not in the JSON-RPC body, so combine:

  • metadata for connection-level restriction
  • rpcReqMatch for method/tool restriction

Canonical combined restriction:

bash
smithery auth token --policy '{
  "resources": "connections",
  "operations": "execute",
  "metadata": { "connectionId": "my-github" },
  "rpcReqMatch": {
    "method": "tools/call",
    "params.name": "^issues\\."
  },
  "ttl": "30m"
}'

Piped Output

When output is piped, Smithery commands emit JSONL (one JSON object per line):

bash
smithery tool list github --flat --limit 1000 | grep label

Frequently asked questions

What does the Smithery Ai Cli AI skill do?

Find, connect, and use MCP tools and skills via the Smithery CLI. Use when the user searches for new tools or skills, wants to discover integrations, connect to an MCP, install a skill, or wants to interact with an external service (email, Slack, Discord, GitHub, Jira, Notion, databases, cloud APIs, monitoring, etc.).

Why use Smithery Ai Cli on TypingMind?

Because you install it once and use it with any model. Smithery Ai Cli is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Smithery Ai Cli in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/arcadeai-labs/smithery-cli/tree/main/skills/smithery-ai-cli. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Smithery Ai Cli?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Smithery Ai Cli?

As many as you like. As long as a model supports skills, you can use Smithery Ai Cli with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Smithery Ai Cli AI skill free?

Yes. It is published on GitHub by arcadeai-labs under the AGPL-3.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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