mcpbeat

Tavily Search

tavily-ai/tavily-search

| Search the web with LLM-optimized results via the Tavily CLI. Use this skill when the user wants to search the web, find articles, look up information, get recent news, discover sources, or says "search for", "find me", "look up", "what's the latest on", "find articles about", or needs current information from the internet. Returns relevant results with content snippets, relevance scores, and metadata — optimized for LLM consumption. Supports domain filtering, time ranges, and multiple search depths.

896 tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
1
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-search

What it tells the agent to use

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

The instruction itself

8 sections, as written by the author

Web search returning LLM-optimized results with content snippets and relevance scores.

Before running any command

If tvly is not found on PATH, install it first:

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

Do not skip this step or fall back to other tools.

See tavily-cli for alternative install methods and auth options.

When to use

  • You need to find information on any topic
  • You don't have a specific URL yet
  • First step in the workflow: search → extract → map → crawl → research

Quick start

# Basic search
tvly search "your query" --json

# Advanced search with more results
tvly search "quantum computing" --depth advanced --max-results 10 --json

# Recent news
tvly search "AI news" --time-range week --topic news --json

# Domain-filtered
tvly search "SEC filings" --include-domains sec.gov,reuters.com --json

# Include full page content in results
tvly search "react hooks tutorial" --include-raw-content --max-results 3 --json

Options

| Option | Description |

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

| --depth | ultra-fast, fast, basic (default), advanced |

| --max-results | Max results, 0-20 (default: 5) |

| --topic | general (default), news, finance |

| --time-range | day, week, month, year |

| --start-date | Results after date (YYYY-MM-DD) |

| --end-date | Results before date (YYYY-MM-DD) |

| --include-domains | Comma-separated domains to include |

| --exclude-domains | Comma-separated domains to exclude |

| --country | Boost results from country |

| --include-answer | Include AI answer (basic or advanced) |

| --include-raw-content | Include full page content (markdown or text) |

| --include-images | Include image results |

| --include-image-descriptions | Include AI image descriptions |

| --chunks-per-source | Chunks per source (advanced/fast depth only) |

| -o, --output | Save output to file |

| --json | Structured JSON output |

Search depth

| Depth | Speed | Relevance | Best for |

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

| ultra-fast | Fastest | Lower | Real-time chat, autocomplete |

| fast | Fast | Good | Need chunks, latency matters |

| basic | Medium | High | General-purpose (default) |

| advanced | Slower | Highest | Precision, specific facts |

Tips

  • Keep queries under 400 characters — think search query, not prompt.
  • Break complex queries into sub-queries for better results.
  • Use --include-raw-content when you need full page text (saves a separate extract call).
  • Use --include-domains to focus on trusted sources.
  • Use --time-range for recent information.
  • Read from stdin: echo "query" | tvly search - --json

See also

  • tavily-extract — extract content from specific URLs
  • tavily-research — comprehensive multi-source research

Repackaged in 1 other repositories

same content, different owner
aiskillstore/marketplace open on GitHub →

How to use it

Copy the folder

Take tavily-ai/tavily-search 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.