# Tavily Search

> Tavily Search — algonacci-tavily-search. Use this tool when you need to perform advanced web searches with customizable options, such as depth, result count, and time range, to gather up-to-date information for research, content creation, or data aggregation tasks. It provides AI-generated answers and features like progress reporting, making it ideal for use cases requiring precise and efficient web data retrieval. The Tavily Search tool accepts search queries and parameters as input and returns relevant web results and answers as output.

Canonical page: https://skillsregistry.net/skills/algonacci-tavily-search  
JSON: https://api.skillsregistry.net/v1/skills/algonacci-tavily-search

## Description

This MCP server implementation integrates the Tavily search API to provide advanced web search capabilities. Developed by Eric Julianto, it offers tools for performing customizable searches with options for depth, result count, time range, and AI-generated answers. The server is built using the FastMCP framework and includes features like progress reporting and resource handling. It's designed for use cases requiring up-to-date web information, such as research, content creation, or data aggregation tasks.

## Trust

- **Trust score (0–1):** 0.39
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/algonacci-tavily-search)
- **Repository:** <https://github.com/algonacci/mcp-tools>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "algonacci-tavily-search"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/algonacci-tavily-search` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/algonacci-tavily-search/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt