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ConechoAI/openai-websearch-mcp

⭐ 94 Python added to this list on 2025-05-06 repository created 2025-03-12

OpenAI WebSearch MCP Server gives an assistant web search performed by an OpenAI reasoning model rather than by a raw search API. The distinction matters: the model runs the searches, reads the results and returns a reasoned answer, so the output is synthesis rather than a list of links. It supports the current reasoning models — gpt-5, gpt-5-mini, gpt-5-nano, o3 and o4-mini — and exposes reasoning_effort as a parameter with sensible defaults chosen per use case, which is the cost and latency dial: gpt-5-mini at low effort for quick lookups, gpt-5 at high effort for something closer to deep research. Localised results are supported through location parameters, so queries whose answers depend on country or region return appropriately scoped information. Configuration is available through environment variables for deployment, and the tool parameters are documented in full so a client can choose them deliberately. It is a Python project requiring 3.10 or newer, published on PyPI as openai-websearch-mcp and MIT licensed. An OpenAI API key is required and usage is billed per call, with effort level directly affecting cost. The audience is people who already pay for OpenAI API access and want search with reasoning attached rather than adding a separate search provider.

https://github.com/ConechoAI/openai-websearch-mcp

mcpopenaiweb-searchpythonreasoning-modelsgpt-5search

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