An MCP server integrating with OpenAI's GPT-4o model for text analysis, summarization, and generation, providing advanced language capabilities through the Model Context Protocol.
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A Model Context Protocol (MCP) server that enhances AI-generated content to sound more natural and human-like, with features like AI detection and text refinement. Highly relevant as an example of an advanced MCP server implementation.
An MCP server for chatting with any OpenAI SDK compatible Chat Completions API, including Perplexity, Groq, and xAI, enabling connection to multiple AI providers through a unified OpenAI-compatible API interface using the Model Context Protocol.
An MCP server designed for chatting with OpenAI's models, enabling seamless integration of OpenAI capabilities into MCP workflows.
A Python-based MCP server for querying OpenAI models directly from Claude or other clients using the Model Context Protocol.
Provides an async browser automation server using OpenAI's GPT-4o model, enabling remote web navigation, content extraction, and task execution with configurable browser contexts. This is a robust MCP server solution for browser automation.
Transforms complex codebases into structured summaries optimized for language models through an MCP server, facilitating better code understanding and analysis workflows. Directly relevant as an MCP server.
Category: AI Integration MCP Servers
Tags: mcp, openai, summarization, nlp
Source: GitHub Repository
chatgpt-mcp is a Model Context Protocol (MCP) server that integrates with OpenAI's GPT-4o model. It provides advanced text analysis, summarization, and generation capabilities by forwarding prompts to an external LLM (ChatGPT). The server is designed to run within LangGraph-based assistants.
ask_chatgpt) for sending text to ChatGPT (GPT-4o) for advanced reasoning, summarization, and analysis.OPENAI_API_KEY) for secure API access.env file or manual export for key managementopenai, requests, and python-dotenv during Docker buildDockerfile – Docker build instructionsserver.py – Main server implementationREADME.md – DocumentationNo pricing information is provided; the project is open source under the MIT license.