# tavily-search-mcp

> tavily-search-mcp — hello-lv-tu-tavily-search-mcp. Use this tool when you need to perform efficient and cost-effective searches using the Tavily Search API, supporting various search modes and automatic credit tracking. It solves problems related to optimizing search queries, managing API costs, and streamlining search processes. The tool takes search queries as input and returns relevant results, making it ideal for applications requiring fast and accurate search functionality.

Canonical page: https://skillsregistry.net/skills/hello-lv-tu-tavily-search-mcp  
JSON: https://api.skillsregistry.net/v1/skills/hello-lv-tu-tavily-search-mcp

## Description

A cost-aware stdio MCP server for the Tavily Search API, supporting basic, fast, ultra fast, and advanced searches with credit tracking and automatic API key rotation.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lfwj9ih2su)
- **Repository:** <https://github.com/Hello-Lv-tu/tavily-search-mcp>

## 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": "hello-lv-tu-tavily-search-mcp"
    }
  }
}
```

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