everything vs any-chat-completions-mcp
Side-by-side comparison to help you pick between these two MCP servers.
everything by modelcontextprotocol | any-chat-completions-mcp by pyroprompts | |
|---|---|---|
| Stars | ★ 85,748 | ★ 151 |
| 30d uses | — | — |
| Score | 77 | 42 |
| Official | ✓ | — |
| Categories | Developer ToolsAI / LLM ToolsOther | AI / LLM ToolsDeveloper ToolsProductivity |
| Language | TypeScript | JavaScript |
| Last commit | this month | 13 mo ago |
everything · Summary
Official MCP test server exercising all protocol features for client builders.
any-chat-completions-mcp · Summary
MCP server that integrates any OpenAI-compatible API with Claude as a tool for multi-LLM interactions.
everything · Use cases
- Testing MCP client implementations against all protocol features
- Learning MCP protocol capabilities through a reference server
- Validating client compatibility with different transport methods
any-chat-completions-mcp · Use cases
- Integrate multiple LLM providers into Claude Desktop
- Switch between different AI models for specialized tasks
- Access proprietary LLMs through Claude's interface
everything · Install
NPX (recommended)
{
"mcpServers": {
"everything": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-everything"]
}
}
}On Windows, use cmd /c:
{
"mcpServers": {
"everything": {
"command": "cmd",
"args": ["/c", "npx", "-y", "@modelcontextprotocol/server-everything"]
}
}
}Docker
{
"mcpServers": {
"everything": {
"command": "docker",
"args": ["run", "-i", "--rm", "mcp/everything"]
}
}
}Global install
npm install -g @modelcontextprotocol/server-everything@latest
npx @modelcontextprotocol/server-everythingany-chat-completions-mcp · Install
Installation
To add this MCP server to Claude Desktop, add the following configuration to your Claude Desktop config file:
**On MacOS:** ~/Library/Application Support/Claude/claude_desktop_config.json
**On Windows:** %APPDATA%/Claude/claude_desktop_config.json
{
"mcpServers": {
"chat-provider-name": {
"command": "npx",
"args": [
"@pyroprompts/any-chat-completions-mcp"
],
"env": {
"AI_CHAT_KEY": "YOUR_API_KEY",
"AI_CHAT_NAME": "ProviderName",
"AI_CHAT_MODEL": "model-name",
"AI_CHAT_BASE_URL": "https://api.example.com/v1"
}
}
}
}You can add multiple providers by referencing the same MCP server multiple times with different environment variables.