mcp-client-for-ollama

by jonigl · Python · ★ 761

Harness the power of local LLMs with this TUI MCP Client for Ollama. Featuring all core MCP primitives (tools, prompts, resources), agent mode, multi-server, model switching, streaming responses, human-in-the-loop, thinking mode, model params config, system prompts, and saved preferences.

#agentic-ai#ai#command-line-tool#harness#linux#local-llm#macos#mcp#mcp-client#mcp-prompts#mcp-resouces#mcp-server#mcp-tools#model-context-protocol#ollama#open-source#sse#stdio#streamable-http#windows

Install

pip install git+https://github.com/jonigl/mcp-client-for-ollama.git

Auto-generated from the repo's primary language — check the repo's own README for its exact install instructions.

Claude Desktop config

A starting point for your claude_desktop_config.json (auto-generated — the repo's README may specify a published package name or required env vars):

{
  "mcpServers": {
    "mcp-client-for-ollama": {
      "command": "uvx",
      "args": [
        "git+https://github.com/jonigl/mcp-client-for-ollama.git"
      ]
    }
  }
}

From the README

A simple yet powerful Python client for interacting with Model Context Protocol (MCP) servers using Ollama, allowing you to harness local LLMs for advanced tool execution. --------|-----------------------|-------------------|-----------| | | Current project only | No | (keyed by project path) | | | Current project only | Yes (via VCS) | in the project root | | | All your projects | No | | The scope writes a standard file at your project root, compatible with Claude Code and other MCP-aware tools. If the same server name exists in multiple…

Read full README on GitHub →

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