Any OpenAI Compatible API Integrations
MCP Server for using any LLM as a Tool
Installation
Installing for Claude Desktop
Option 1: One-Command Installation
npx mcpbar install pyroprompts/any-chat-completions-mcp -c claude
This command will automatically install and configure the Any OpenAI Compatible API Integrations MCP server for your selected client.
Option 2: Manual Configuration
View JSON configuration
{
"mcpServers": {
"Any OpenAI Compatible API Integrations": {
"command": "npx",
"args": [
"@pyroprompts/any-chat-completions-mcp"
],
"env": {
"AI_CHAT_KEY": "OPENAI_KEY",
"AI_CHAT_NAME": "OpenAI",
"AI_CHAT_MODEL": "gpt-4o",
"AI_CHAT_BASE_URL": "https://api.openai.com/v1"
}
}
}
}
Copy and paste this configuration into your MCP client's configuration file to manually set up this server.
Common MCP clients
claude
- Claude Desktopcursor
- Cursor Code Editorcline
- Cline (VS Code)windsurf
- Windsurf Editorwitsy
- Witsy AI Assistant
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
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.
Development
Install dependencies:
npm install
Build the server:
npm run build
For development with auto-rebuild:
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
You can use it via npx
in your Claude Desktop configuration like this:
{
"mcpServers": {
"chat-openai": {
"command": "npx",
"args": [
"@pyroprompts/any-chat-completions-mcp"
],
"env": {
"AI_CHAT_KEY": "OPENAI_KEY",
"AI_CHAT_NAME": "OpenAI",
"AI_CHAT_MODEL": "gpt-4o",
"AI_CHAT_BASE_URL": "https://api.openai.com/v1"
}
}
}
}
Or, if you clone the repo, you can build and use in your Claude Desktop configuration like this:
{
"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:
{
"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": "sonar",
"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:
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:
Installing via Smithery
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
Debugging
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.
Acknowledgements
- Obviously the modelcontextprotocol and Anthropic team for the MCP Specification and integration into Claude Desktop. https://modelcontextprotocol.io/introduction
- PyroPrompts for sponsoring this project. Use code
CLAUDEANYCHAT
for 20 free automation credits on Pyroprompts.
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