any-chat-completions-mcp

npmGitHub
  • Communication
JavaScript
MIT
27
  • Apple
A
security – no known vulnerabilities (report Issue)
A
license - permissive license (MIT)
A
quality - confirmed to work

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

  1. Tools
  2. Prompts
  3. Resources
  4. Server Configuration
  5. README.md

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Tools

Functions exposed to the LLM to take actions

NameDescription
chat-with-fakechatproviderText chat with FakeChatProvider

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
AI_CHAT_KEYYesThe API key for the AI chat provider
AI_CHAT_NAMEYesThe name of the AI chat provider
AI_CHAT_MODELYesThe model being used by the AI chat provider
AI_CHAT_BASE_URLYesThe base URL for the API of the AI chat provider
Need Help?View Source CodeReport Issue
README.md

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.

Claude uses OpenAI

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

{ "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": "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

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

Claude Chat with OpenAI

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

GitHub Badge

Glama performs regular codebase and documentation scans to:

  • Confirm that the MCP server is working as expected.
  • Confirm that there are no obvious security issues with dependencies of the server.
  • Extract server characteristics such as tools, resources, prompts, and required parameters.

Our directory badge helps users to quickly asses that the MCP server is safe, server capabilities, and instructions for installing the server.

Copy the following code to your README.md file:

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