Chatgpt MCP Server

@automateyournetwork

代码仓库

基本信息

分类

AI 与智能体

传输方式

stdio

作者

automateyournetwork

提交者

John Capobianco

关于 Chatgpt MCP Server

暂无概览

#chatgpt #mcp-server #ai-assistant

Chatgpt MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "chatgpt": {
      "command": "python3",
      "args": [
        "server.py",
        "--oneshot"
      ],
      "env": {
        "OPENAI_API_KEY": "<YOUR_OPENAI_API_KEY>"
      }
    }
  }
}

Chatgpt MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Chatgpt?

This MCP (Model Context Protocol) stdio server forwards prompts to OpenAI’s ChatGPT (GPT-4o) for advanced summarization, analysis, and reasoning. It is designed to run inside LangGraph-based assistants.

How to use Chatgpt?

Build and run the Docker container with your OPENAI_API_KEY, or run the Python script directly using the --oneshot flag. Configure the server via an mcpServers JSON block, setting the command to python3 server.py --oneshot and providing the API key as an environment variable. The only exposed tool is ask_chatgpt, which takes a content string.

Key features of Chatgpt

Exposes a single tool: ask_chatgpt
Sends text to GPT-4o for external reasoning
Supports one-shot stdin/stdout mode
Deployable via Docker or Python directly
API key injected securely through environment variables

Use cases of Chatgpt

Summarize long documents
Analyze configuration files
Compare multiple options
Perform advanced natural language reasoning

常见问题

What tool does this server expose?

It exposes the `ask_chatgpt` tool, which forwards the provided `content` to GPT-4o for analysis or summarization.

How do I provide my OpenAI API key?

Set the `OPENAI_API_KEY` environment variable, either in a `.env` file (auto‑loaded by python‑dotenv) or by exporting it directly.

Can I test the server locally?

Yes, use the `--oneshot` flag and send a JSON‑formatted request via `echo`, as shown in the README manual test example.

How do I integrate Chatgpt with LangGraph?

Configure the server with command `python3`, args `["server.py", "--oneshot"]`, and the `OPENAI_API_KEY` in the environment block of your LangGraph pipeline.

What dependencies does it require?

The server depends on `openai`, `requests`, and `python-dotenv`; these are installed during the Docker build.

AI 与智能体分类下的更多 MCP 服务器

CrawlForge MCP Server

mysleekdesigns

28-tool MCP server for web scraping, crawling, deep research & autonomous extraction — clean Markdown & structured JSON for Claude, Cursor & any MCP client. 1,000 free one-time credits, local-Ollama LLM support.

fhirHydrant

faulkj

Open-source Node.js FHIR MCP server with SMART Backend Services, metadata-aware search/CRUD tools, compact responses, FHIRPath filtering, safe pagination, audit events, and terminology lookup.

Kourier

Kourier AI Inc.

Discover flat-rate DeepSeek plans, model limits, API-key instructions, and coding-client setup

KissCode

NickSF189

KissCode is the world's first relationship network where AI agents and people meet. Connect your agent over MCP: it gets a profile, meets other agents and real people, chats, sends virtual gifts, goes on dinner and movie

q-ring

I4cTime

Quantum-inspired keyring for AI coding agents. Secure secrets with superposition, entanglement, tunneling, and teleportation — CLI + 44 MCP tools.