# OpenAI WebSearch MCP Server

> Use this tool when you need to access OpenAI's web search functionality through a streamlined interface, solving problems related to information retrieval and data collection. It provides a one-click installation and configuration, allowing for efficient integration with the Model Context Protocol. Ideal for use cases requiring automated web search queries and data extraction, with inputs of search queries and outputs of relevant search results.

Canonical page: https://skillsregistry.net/skills/conechoai-openai-websearch-mcp  
JSON: https://api.skillsregistry.net/v1/skills/conechoai-openai-websearch-mcp

## Description

One click installation & Configuration，access to OpenAI's websearch functionality through the Model Context Protocol。

## Trust

- **Trust score (0–1):** 0.93
- **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/o08k5k0v1r)
- **Repository:** <https://github.com/ConechoAI/openai-websearch-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": "conechoai-openai-websearch-mcp"
    }
  }
}
```

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