openai-websearch-mcpopenai websearch tool as mcp server

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Reviewed by Daniel Nikulshyn·Updated July 2026

Overview

The openai-websearch-mcp server provides intelligent web search capabilities using OpenAI's reasoning models. It's designed for AI assistants that need up-to-date information with smart reasoning capabilities. The server supports various OpenAI models, including gpt-5, gpt-5-mini, gpt-5-nano, o3, and o4-mini. It offers features like smart effort control, multi-mode search, localized results, and flexible configuration through environment variables. The server can be integrated with AI assistants like Claude Desktop, Cursor, and Claude Code.

Key features

Reasoning Model Support
Smart Effort Control
Multi-Mode Search
Localized Results
Rich Descriptions
Flexible Configuration

Pricing

Model: Free
Category: MCP Servers
Rating: No reviews yet

Use cases

Quick Search

Use the openai_web_search tool for fast iterations with gpt-5-mini to search for information on the latest developments in AI reasoning models.

Deep Research

Utilize the openai_web_search tool with gpt-5 and high reasoning effort to provide a comprehensive analysis of quantum computing breakthroughs.

Localized Search

Search for local tech meetups in San Francisco this week using the openai_web_search tool with location-based search customization.

Pros & Cons

Pros

Supports multiple OpenAI reasoning models
Smart effort control for efficient search
Localized search results
Easy integration with AI assistants
Flexible configuration through environment variables

Cons

Requires OpenAI API key
Dependent on OpenAI model availability and pricing

Reviews

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Q&A

What are the main limitations of this server?

You need a valid OpenAI API key and the service depends on OpenAI model availability and pricing. There’s no built‑in caching, so each query incurs API usage costs and latency.

Asked by Vincenzo Greco · Jan 29, 2026

Does the tool offer localized search or smart effort control?

Yes, it provides localized results for location‑based queries and a smart effort control feature that automatically selects reasoning_effort defaults suited to the use case, balancing speed and depth.

Asked by Ravi Kapoor · Dec 28, 2025

How can I configure the server for my AI assistant?

Configuration is done via environment variables or JSON in the assistant’s MCP settings. You set OPENAI_API_KEY, OPENAI_DEFAULT_MODEL, and optionally PYTHONPATH, then add the server command (e.g., uvx args [ openai websearch mcp ]) in the assistant’s config file.

Asked by Elias Hedström · Dec 25, 2025

What OpenAI models does openai-websearch-mcp support?

The server works with several OpenAI reasoning models including gpt‑5, gpt‑5‑mini, gpt‑5‑nano, o3, and o4‑mini, as well as gpt‑4o and gpt‑4o‑mini for its web search tool.

Asked by Devin Walker · Nov 15, 2025