What models are supported?
OpenAI models include gpt-4, gpt-4-turbo, gpt-3.5-turbo, and others. Claude models include claude-3-opus-20240229, claude-3-sonnet-20240229, claude-3-haiku-20240307, and others.
@Spysailor
Basic information
Implementation of OpenAI MCP Server
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
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We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
A simple server that acts as a Master Control Program (MCP) for interacting with AI models from OpenAI and Anthropic (Claude).
Clone the repository, install dependencies with npm install, configure your API keys in a .env file based on .env.example, then start the server with npm start. The server runs on http://localhost:3000 and exposes unified and provider-specific API endpoints.
OpenAI models include gpt-4, gpt-4-turbo, gpt-3.5-turbo, and others. Claude models include claude-3-opus-20240229, claude-3-sonnet-20240229, claude-3-haiku-20240307, and others.
Copy `.env.example` to `.env` and edit the file to add your `OPENAI_API_KEY` and `ANTHROPIC_API_KEY` values. The server reads these environment variables on startup.
Three endpoints: `POST /api/mcp` (unified, auto-detects provider), `POST /api/mcp/openai` (always OpenAI), and `POST /api/mcp/claude` (always Claude). All accept a JSON body with `prompt`, `model`, `maxTokens`, and `provider` parameters.
Set the `provider` field to `"openai"`, `"claude"`, or `"auto"` (default) in your request. Alternatively, use the provider-specific endpoints `/api/mcp/openai` or `/api/mcp/claude`.
Yes, a simple web test page is included at `test-mcp.html`. Open it in your browser to test the MCP without writing additional code.
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