by pyroprompts
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
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.
Install dependencies:
npm install
Build the server:
npm run build
For development with auto-rebuild:
npm run watch
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
You can use it via npx
in your Claude Desktop configuration like this:
*Configuration content*
Or, if you clone the repo, you can build and use in your Claude Desktop configuration like this:
*Configuration content*
You can add multiple providers by referencing the same MCP server multiple times, but with different env arguments:
*Configuration content*
With these three, you'll see a tool for each in the Claude Desktop Home:
And then you can chat with other LLMs and it shows in chat like this:
Or, configure in LibreChat like:
chat-perplexity: type: stdio command: npx args: - -y - @pyroprompts/any-chat-completions-mcp env: AI_CHAT_KEY: "pplx-012345679" AI_CHAT_NAME: Perplexity AI_CHAT_MODEL: sonar AI_CHAT_BASE_URL: "https://api.perplexity.ai" PATH: '/usr/local/bin:/usr/bin:/bin'
And it shows in LibreChat:
To install Any OpenAI Compatible API Integrations for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install any-chat-completions-mcp-server --client claude
Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector, which is available as a package script:
npm run inspector
The Inspector will provide a URL to access debugging tools in your browser.
CLAUDEANYCHAT
for 20 free automation credits on Pyroprompts.2 contributors