mcpbeat

Tavily CLI

tavily-ai/tavily-cli

|

816 tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
443
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/tavily-ai/skills --skill tavily-cli

What it tells the agent to use

found in the instruction text
Bash runs shell commands — read the instruction before connecting

The instruction itself

5 sections, as written by the author

Tavily CLI

Web search, content extraction, site crawling, URL discovery, and deep research. Returns JSON optimized for LLM consumption.

Run tvly --help or tvly <command> --help for full option details.

Prerequisites

Must be installed and authenticated. Check with tvly --status.

tavily v0.1.0

> Authenticated via OAuth (tvly login)

If not ready:

curl -fsSL https://cli.tavily.com/install.sh | bash

Or manually: uv tool install tavily-cli / pip install tavily-cli

Then authenticate:

tvly login --api-key tvly-YOUR_KEY
# or: export TAVILY_API_KEY=tvly-YOUR_KEY
# or: tvly login  (opens browser for OAuth)

Workflow

Follow this escalation pattern — start simple, escalate when needed:

  • Search — No specific URL. Find pages, answer questions, discover sources.
  • Extract — Have a URL. Pull its content directly.
  • Map — Large site, need to find the right page. Discover URLs first.
  • Crawl — Need bulk content from an entire site section.
  • Research — Need comprehensive, multi-source analysis with citations.

| Need | Command | When |

|------|---------|------|

| Find pages on a topic | tvly search | No specific URL yet |

| Get a page's content | tvly extract | Have a URL |

| Find URLs within a site | tvly map | Need to locate a specific subpage |

| Bulk extract a site section | tvly crawl | Need many pages (e.g., all /docs/) |

| Deep research with citations | tvly research | Need multi-source synthesis |

For detailed command reference, use the individual skill for each command (e.g., tavily-search, tavily-crawl) or run tvly <command> --help.

Output

All commands support --json for structured, machine-readable output and -o to save to a file.

tvly search "react hooks" --json -o results.json
tvly extract "https://example.com/docs" -o docs.md
tvly crawl "https://docs.example.com" --output-dir ./docs/

Tips

  • Always quote URLs — shell interprets ? and & as special characters.
  • Use --json for agentic workflows — every command supports it.
  • Read from stdin with -echo "query" | tvly search -
  • Exit codes: 0 = success, 2 = bad input, 3 = auth error, 4 = API error.

How to use it

Copy the folder

Take tavily-ai/tavily-cli from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.

Install what it needs

The instructions reference pip. Without those the skill loads but fails at the first command.