# tavily_mcp_server_for_all_tools

> tavily_mcp_server_for_all_tools — la0balang-tavily-mcp-server-for-all-tools. Use this tool when you need to integrate live web retrieval and research capabilities into AI assistants, leveraging 8 Tavily tools via Streamable HTTP. It solves problems of dynamic information gathering, question answering, and context provision, enabling AI agents to fetch and crawl web data, perform deep research, and provide accurate responses. This tool accepts queries and inputs via HTTP, returning relevant data and insights to power AI-driven applications.

Canonical page: https://skillsregistry.net/skills/la0balang-tavily-mcp-server-for-all-tools  
JSON: https://api.skillsregistry.net/v1/skills/la0balang-tavily-mcp-server-for-all-tools

## Description

MCP server exposing 8 Tavily tools (web search, fetch, crawl, map, QnA, context, and deep research) via Streamable HTTP for AI assistants to perform live web retrieval and research.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gwwjykf16l)
- **Repository:** <https://github.com/La0bALanG/tavily_mcp_server_for_all_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": "la0balang-tavily-mcp-server-for-all-tools"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/la0balang-tavily-mcp-server-for-all-tools` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/la0balang-tavily-mcp-server-for-all-tools/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