any-chat-completions-mcp
This server integrates OpenAI SDK-compatible chat completion APIs into Model Context Protocol (MCP) clients like Claude Desktop and LibreChat. With it, you can:
Connect to multiple AI providers simultaneously (OpenAI, Perplexity, Groq, xAI, PyroPrompts)
Relay questions to configured providers using the
chattoolCustomize configurations via environment variables (API keys, models, base URLs)
Enable cross-platform compatibility (MacOS and Windows)
Debug communications with tools like MCP Inspector
Scale your setup with multiple providers using different configurations
Allows sending chat messages to OpenAI's API and receiving responses from models like gpt-4o
Integrates with Perplexity's API to send chat messages and receive responses from models like llama-3.1-sonar-small-128k-online
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@any-chat-completions-mcp explain quantum computing in simple terms"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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 installBuild the server:
npm run buildFor development with auto-rebuild:
npm run watchRelated MCP server: Ultimate-MCP-Server
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 claudeDebugging
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 inspectorThe 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
CLAUDEANYCHATfor 20 free automation credits on Pyroprompts.
Available Tools
1 toolchat-with-openaiC
Text chat with OpenAI
Inputs: content (required).
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 1 tool
Only one tool exists, so there is no possibility of confusion between tools.
With a single tool, naming inconsistency is not applicable; it follows a clear verb_noun pattern ('chat' + 'with-openai').
A chat completions server should typically offer multiple tools (e.g., streaming, model listing, conversation history). A single tool feels overly minimal for the domain.
The single tool only covers basic text chat, missing obvious needs like streaming, parameter customization, or model availability queries, making the surface severely incomplete.
Maintenance
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