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Ollama MCP Server with

@angrysky56

代码仓库

基本信息

分类

AI 与智能体

传输方式

stdio

作者

angrysky56

关于 Ollama MCP Server with

Use fast-agent to use MCP tools with local LLM, API or Claude Desktop. WIP

#agents#ollama#mcp-server#fast-agent

Ollama MCP Server with 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "ollama-mcp-server": {
      "command": "uv",
      "args": [
        "venv",
        "--python",
        "3.12",
        "--seed"
      ]
    }
  }
}

Ollama MCP Server with 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Ollama MCP Server?

Ollama MCP Server is a comprehensive Model Context Protocol (MCP) server for integrating Ollama with advanced features including script management, multi-agent workflows, and process leak prevention. It enables Claude Desktop to interact with locally installed Ollama models through MCP tools.

How to use Ollama MCP Server?

Install with Python 3.8+ and the uv package manager, then configure Claude Desktop using the provided example config file. After updating paths and restarting Claude Desktop, invoke tools like list_ollama_models or run_ollama_prompt directly from the Claude interface.

Key features of Ollama MCP Server

  • Async job management for long-running tasks
  • Script templates with variable substitution
  • Multi-agent workflows: chain, parallel, router, evaluator
  • Process leak prevention and resource cleanup
  • Comprehensive job tracking and monitoring
  • Support for any locally installed Ollama model

Use cases of Ollama MCP Server

  • Execute prompts with any Ollama model synchronously or asynchronously
  • Create and run reusable prompt templates with variables
  • Coordinate multi-agent workflows like chain or parallel
  • Compare multiple models side by side
  • Batch process multiple prompts efficiently

常见问题

1

What are the prerequisites?

Python 3.8+ with the `uv` package manager, Ollama installed and running, and Claude Desktop for MCP integration.

2

How do I install the Ollama MCP Server?

Create a virtual environment, add `mcp[cli]` and `python-dotenv`, then configure Claude Desktop with the provided example config file and update paths.

3

What does the server do for process management?

It includes signal handling, background task tracking, resource cleanup, and automatic process termination to prevent process leaks.

4

How do I troubleshoot a stuck job?

Use the `cancel_job` tool to stop problematic tasks.

5

How do I connect to Ollama?

Ollama must be running locally; use `ollama serve` if needed. List available models with `list_ollama_models`.

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