🚀 MCP-Ollama Server

Name: 🚀 MCP-Ollama Server
Author: Sethuram2003

Sethuram2003

Extends Model Context Protocol (MCP) to local LLMs via Ollama, enabling Claude-like tool use (files, web, email, GitHub, AI images) while keeping data private. Modular Python servers for on-prem AI. #LocalAI #MCP #Ollama

Setup

Choose your client, copy the config, then fill in any required environment variables.

Add to Cursor Add to VS Code

claude mcp add ollama -- uv run client.py ../file_system/file_system.py

~/.codex/config.toml

[mcp_servers.ollama]
command = "uv"
args = ["run", "client.py", "../file_system/file_system.py"]

# codex mcp add ollama -- uv run client.py ../file_system/file_system.py

~/.cursor/mcp.json

{
  "mcpServers": {
    "ollama": {
      "command": "uv",
      "args": [
        "run",
        "client.py",
        "../file_system/file_system.py"
      ]
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "ollama": {
      "type": "stdio",
      "command": "uv",
      "args": [
        "run",
        "client.py",
        "../file_system/file_system.py"
      ]
    }
  }
}

~/.gemini/settings.json

{
  "mcpServers": {
    "ollama": {
      "command": "uv",
      "args": [
        "run",
        "client.py",
        "../file_system/file_system.py"
      ]
    }
  }
}

claude_desktop_config.json

{
  "mcpServers": {
    "ollama": {
      "command": "uv",
      "args": [
        "run",
        "client.py",
        "../file_system/file_system.py"
      ]
    }
  }
}

.trae/mcp.json

{
  "mcpServers": {
    "ollama": {
      "command": "uv",
      "args": [
        "run",
        "client.py",
        "../file_system/file_system.py"
      ]
    }
  }
}

Setup

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