OpenAI MCP Server
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Alternatives to OpenAI MCP Server
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Related Servers
- FlicenseNot gradedqualityNot gradedmaintenanceEnables Claude and other MCP-compatible tools to communicate with OpenAI's GPT models (GPT-5, GPT-5-mini, o3) with conversation history and session management. Features advanced controls like reasoning effort settings, token tracking, and parallel conversation sessions for efficient AI workflows.4 npm-
- AlicenseAqualityDmaintenanceEnables Claude to directly invoke OpenAI's chat models (GPT-4o, GPT-4o-mini, o1-preview, o1-mini) through a Model Context Protocol integration, allowing users to query and compare responses from different AI models within Claude Desktop.11MIT
- AlicenseCqualityDmaintenanceQuery OpenAI models directly from Claude using MCP protocol.184MIT
- AlicenseAqualityCmaintenanceProvides access to OpenAI's ChatGPT API with web search capabilities for Claude and other MCP clients. Supports various GPT models with configurable parameters like reasoning effort, temperature, and streaming mode.17 npm3MIT
- AlicenseNot gradedqualityCmaintenanceA universal server that enables MCP-compatible clients (like Claude Desktop, Cursor, VS Code) to access OpenAI's APIs for chat completions, image generation, embeddings, and model listing through a standardized interface.5 npm7MIT
- -licenseCqualityNot gradedmaintenanceEnables interaction with OpenAI-compatible APIs (like Ollama) through MCP tools. Provides access to chat completions, model listings, and embeddings generation from local or remote OpenAI-style endpoints.3-
TDQS
Scored across 1 tool
With only one tool, there is no possibility of confusion or overlap between tools. The single tool 'ask-openai' has a clear and distinct purpose, making disambiguation perfect.
Since there is only one tool, naming consistency is inherently perfect. The tool name 'ask-openai' follows a verb_noun pattern, but with no other tools to compare, it cannot be inconsistent.
A single tool for an 'OpenAI MCP Server' feels too minimal for the apparent scope, which likely involves interacting with OpenAI's models. This is borderline inadequate, as it may limit functionality and require agents to work around gaps, scoring low due to the mismatch.
The tool surface is severely incomplete for an OpenAI server. It only allows asking questions to assistant models, missing obvious operations like listing models, generating text, handling images, or managing conversations, which are core to OpenAI's API capabilities.