# Tavily Web Search MCP Server

> Use this tool when you need to integrate web search capabilities into your application, enabling users to retrieve information from the web using natural language queries. It solves problems of information retrieval and data access, providing relevant results through the Tavily API. Ideal for use in LLM applications, it accepts natural language inputs and returns relevant web search results through a stdio transport mode interface.

Canonical page: https://skillsregistry.net/skills/bq31x-mcp-session-code  
JSON: https://api.skillsregistry.net/v1/skills/bq31x-mcp-session-code

## Description

Enables web search capabilities through the Tavily API, allowing users to search the web for information using natural language queries. Demonstrates MCP server implementation with stdio transport mode for integration with LLM applications.

## Trust

- **Trust score (0–1):** 0.86
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/i442uqjmtv)
- **Repository:** <https://github.com/BQ31X/MCP-Session-Code>

## 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": "bq31x-mcp-session-code"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bq31x-mcp-session-code` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bq31x-mcp-session-code/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