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Ollama Hive MCP Server

@Algiras

代码仓库

基本信息

分类

AI 与智能体

传输方式

stdio

作者

Algiras

关于 Ollama Hive MCP Server

暂无概览

#ollama#mcp-server#langchain

Ollama Hive MCP Server 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-hive-mcp-server": {
      "command": "npx",
      "args": [
        "ollama-hive-mcp-server"
      ]
    }
  }
}

Ollama Hive MCP Server 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。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

What is Ollama Hive MCP Server?

A TypeScript-based Model Context Protocol (MCP) server that integrates with Ollama models using LangChain. It provides tools and resources for querying local language models through a standardized MCP interface, with model-specific MCP server configurations.

How to use Ollama Hive MCP Server?

Run directly via npx: npx ollama-hive-mcp-server. Optionally set MCP_CONFIG_PATH and environment overrides. For persistent installation, clone the repository, install dependencies, build, and start with npm start. The server exposes tools like query_model, test_model, get_model_info, and list_models.

Key features of Ollama Hive MCP Server

  • Model management: configure multiple Ollama models with per-model endpoints and settings.
  • Model-specific MCP servers: each model can have its own set of MCP tools.
  • Session management: conversation sessions for context continuity across queries.
  • Environment variable support: override endpoints and configuration via environment variables.
  • Stdio transport: standard input/output communication for seamless integration.
  • Pre-loading: all models loaded at startup for quick responses.

Use cases of Ollama Hive MCP Server

  • Query local Ollama language models from any MCP client (e.g., Claude Desktop, Cursor IDE).
  • Build multi-turn conversations with session-based context retention.
  • Provide specialized tool sets per model (e.g., filesystem for code model, web search for research model).
  • Test and debug model connectivity and MCP server configurations.

常见问题

1

What runtime does it require?

Node.js 18+ and an Ollama instance running locally (default `http://localhost:11434`).

2

How are model endpoints resolved?

Priority: 1) `OLLAMA_ENDPOINT` environment variable, 2) model-specific `endpoint` config, 3) global `globalEndpoint` config, 4) default `http://localhost:11434`.

3

How do I use sessions for context continuity?

Create a session with the `create_session` tool, then pass the returned `sessionId` to subsequent `query_model` calls. Alternatively, set `createSession: true` to auto-create a session.

4

Are MCP servers isolated per model?

Yes. Each model can define its own set of MCP servers; they are isolated from other models.

5

How is configuration validated?

All configuration is validated using Zod schemas; errors are returned in a standardized format.

评论

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