# Tavily Web Search MCP Server

> Use this tool when you need to integrate web search functionality into your application using natural language queries. It solves problems related to information retrieval and data search by providing relevant results through the Tavily API. The tool accepts natural language queries as input and returns relevant search results as output, ideal for use cases where users require easy access to web-based information.

Canonical page: https://skillsregistry.net/skills/upendranath-mcp  
JSON: https://api.skillsregistry.net/v1/skills/upendranath-mcp

## Description

Enables web search capabilities through the Tavily API, allowing users to search the web for information using natural language queries. Demonstrates MCP (Model Context Protocol) server implementation with stdio transport mode.

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wtp99f234s)
- **Repository:** <https://github.com/UpendraNath/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": "upendranath-mcp"
    }
  }
}
```

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