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fastmcp-me

OpenAI WebSearch MCP Server

by fastmcp-me

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
OPENAI_API_KEYYesYour OpenAI API key
OPENAI_DEFAULT_MODELNoDefault model to usegpt-5-mini

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": false
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
openai_web_searchA

OpenAI Web Search with reasoning models.

For quick multi-round searches: Use 'gpt-5-mini' with reasoning_effort='low' for fast iterations.

For deep research: Use 'gpt-5' with reasoning_effort='medium' or 'high'. The result is already multi-round reasoned, so agents don't need continuous iterations.

Supports: gpt-4o (no reasoning), gpt-5/gpt-5-mini/gpt-5-nano, o3/o4-mini (with reasoning).

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A4.2/5.0

Scored across 1 tool

Disambiguation5/5

There is only one tool, so there is no possibility of confusion or overlapping purposes. The tool's purpose is clear and singular.

Naming Consistency5/5

With a single tool, the naming is inherently consistent. 'openai_web_search' follows a clear verb_noun pattern and clearly indicates its function.

Tool Count4/5

The server is dedicated to OpenAI web search, and a single tool fully covers this narrow purpose. While under the typical 3-15 range, it is not excessive or trivial, making the count reasonable for the scope.

Completeness5/5

For a web search server, the tool provides comprehensive functionality, handling multiple models, reasoning efforts, and multi-round searches. There are no obvious missing capabilities for the stated purpose.

Maintenance

ActivityInactive
ResponsivenessNo issues