Any Chat Completions

Created By

a year ago

Interact with any OpenAI SDK Compatible Chat Completions API like OpenAI, Perplexity, Groq, xAI and many more.

Content

# any-chat-completions-mcp MCP Server

Integrate Claude with Any OpenAI SDK Compatible Chat Completion API - OpenAI, Perplexity, Groq, xAI, PyroPrompts and more.

This implements the Model Context Protocol Server. Learn more: [https://modelcontextprotocol.io\](https://modelcontextprotocol.io)

This is a TypeScript-based MCP server that implements an implementation into any OpenAI SDK Compatible Chat Completions API.

It has one tool, `chat` which relays a question to a configured AI Chat Provider.

![Claude uses OpenAI](img/screencap.mov)

Development

Install dependencies: ```bash npm install ```

Build the server: ```bash npm run build ```

For development with auto-rebuild: ```bash npm run watch ```

Installation

To add OpenAI to Claude Desktop, add the server config:

On MacOS: `~/Library/Application Support/Claude/claude_desktop_config.json` On Windows: `%APPDATA%/Claude/claude_desktop_config.json`

```json

{ "mcpServers": { "chat-openai": { "command": "node", "args": [ "/path/to/any-chat-completions-mcp/build/index.js" ], "env": { "AI_CHAT_KEY": "OPENAI_KEY", "AI_CHAT_NAME": "OpenAI", "AI_CHAT_MODEL": "gpt-4o", "AI_CHAT_BASE_URL": "https://api.openai.com/v1" } } } } ```

You can add multiple providers by referencing the same MCP server multiple times, but with different env arguments:

```json

{ "mcpServers": { "chat-pyroprompts": { "command": "node", "args": [ "/path/to/any-chat-completions-mcp/build/index.js" ], "env": { "AI_CHAT_KEY": "PYROPROMPTS_KEY", "AI_CHAT_NAME": "PyroPrompts", "AI_CHAT_MODEL": "ash", "AI_CHAT_BASE_URL": "https://api.pyroprompts.com/openaiv1" } }, "chat-perplexity": { "command": "node", "args": [ "/path/to/any-chat-completions-mcp/build/index.js" ], "env": { "AI_CHAT_KEY": "PERPLEXITY_KEY", "AI_CHAT_NAME": "Perplexity", "AI_CHAT_MODEL": "llama-3.1-sonar-small-128k-online", "AI_CHAT_BASE_URL": "https://api.perplexity.ai" } }, "chat-openai": { "command": "node", "args": [ "/path/to/any-chat-completions-mcp/build/index.js" ], "env": { "AI_CHAT_KEY": "OPENAI_KEY", "AI_CHAT_NAME": "OpenAI", "AI_CHAT_MODEL": "gpt-4o", "AI_CHAT_BASE_URL": "https://api.openai.com/v1" } } } } ```

With these three, you'll see a tool for each in the Claude Desktop Home:

![Claude Desktop Home with Chat Tools](img/claude_desktop_home.png)

And then you can chat with other LLMs and it shows in chat like this:

![Claude Chat with OpenAI](img/claude_chat_openai.png)

Debugging

Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the [MCP Inspector](https://github.com/modelcontextprotocol/inspector), which is available as a package script:

```bash npm run inspector ```

The Inspector will provide a URL to access debugging tools in your browser.

Acknowledgements

Obviously the modelcontextprotocol and Anthropic team for the MCP Specification and integration into Claude Desktop. [https://modelcontextprotocol.io/introduction\](https://modelcontextprotocol.io/introduction)
[PyroPrompts](https://pyroprompts.com?ref=github-any-chat-completions-mcp) for sponsoring this project. Use code `CLAUDEANYCHAT` for 20 free automation credits on Pyroprompts.

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