filesystem vs any-chat-completions-mcp
Side-by-side comparison to help you pick between these two MCP servers.
filesystem by modelcontextprotocol | any-chat-completions-mcp by pyroprompts | |
|---|---|---|
| Stars | ★ 85,748 | ★ 151 |
| 30d uses | — | — |
| Score | 77 | 42 |
| Official | ✓ | — |
| Categories | File SystemDeveloper ToolsProductivity | AI / LLM ToolsDeveloper ToolsProductivity |
| Language | TypeScript | JavaScript |
| Last commit | this month | 13 mo ago |
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
any-chat-completions-mcp · Summary
MCP server that integrates any OpenAI-compatible API with Claude as a tool for multi-LLM interactions.
filesystem · Use cases
- Enable AI models to read and write project files during development
- Allow Claude or other MCP clients to browse and analyze codebases
- Provide secure sandboxed access to specific directories for content generation
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
filesystem · Install
Installation
Using NPX
{
"mcpServers": {
"filesystem": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-filesystem",
"/path/to/allowed/directory"
]
}
}
}Using Docker
{
"mcpServers": {
"filesystem": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"--mount", "type=bind,src=/path/to/allowed/dir,dst=/projects/allowed/dir",
"mcp/filesystem",
"/projects"
]
}
}
}VS Code Extension
Click the installation buttons in the README to install directly in VS Code.
any-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.