billster45/mcp-chatgpt-responses
by Various
MCP server for access to OpenAI's ChatGPT API with Responses API for conversation management
MCP
billster45/mcp-chatgpt-responses
Added 1 June 2026
Overview
This MCP server provides a bridge to OpenAI's ChatGPT API using the Responses API for structured conversation management. It is implemented in Python and allows developers to integrate ChatGPT capabilities into MCP-compatible applications.
Best for
Best for
Developers building MCP-based tools that need ChatGPT conversation capabilities
Use cases
- Integrate ChatGPT responses into MCP-based workflows
- Manage multi-turn conversations via the Responses API
- Build custom AI assistants with OpenAI's chat models
How to use
Install
npx -y @smithery/cli install @billster45/mcp-chatgpt-responses --client claude Tools exposed
ask_chatgptask_chatgpt_with_web_search
Tested with
Claude Desktop, ChatGPT
Example client config
{\n "mcpServers": {\n "chatgpt": {\n "command": "uv",\n "args": [\n "--directory",\n "\\path\\to\\mcp-chatgpt-responses",\n "run",\n "chatgpt_server.py"\n ],\n "env": {\n "OPENAI_API_KEY": "your-api-key-here",\n "DEFAULT_MODEL": "gpt-4o",\n "DEFAULT_TEMPERATURE": "0.7",\n "MAX_TOKENS": "1000"\n }\n }\n }\n} Notes
This MCP server provides a bridge to OpenAI’s ChatGPT API using the Responses API for structured conversation management. It is implemented in Python and allows developers to integrate ChatGPT capabilities into MCP-compatible applications.
17 stars on GitHub. Last updated 2025-07-26.
Use cases
- Integrate ChatGPT responses into MCP-based workflows
- Manage multi-turn conversations via the Responses API
- Build custom AI assistants with OpenAI’s chat models
Pros
- Leverages the official OpenAI Responses API for reliable conversation handling
- Lightweight Python implementation with 17 stars on GitHub
- Simplifies integration of ChatGPT into MCP ecosystems
Cons
- Requires an OpenAI API key and incurs usage costs
- Limited community adoption due to low star count
- Dependent on OpenAI’s API availability and rate limits
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Leverages the official OpenAI Responses API for reliable conversation handling
- Lightweight Python implementation with 17 stars on GitHub
- Simplifies integration of ChatGPT into MCP ecosystems
Cons
- Requires an OpenAI API key and incurs usage costs
- Limited community adoption due to low star count
- Dependent on OpenAI's API availability and rate limits
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