广告合作
MCP.so
登录

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

AI 与智能体 分类下的更多 MCP 服务器

XDC AI

XDC AI is a remote MCP server available at https://xdcai.tech.

OpenZiti MCP Gateway

openziti

NetFoundry MCP Gateway enables secure, isolated access to Model Context Protocol (MCP) tools across distributed systems without exposing public endpoints. Zero trust gateway for MCP servers. Aggregate, filter, and secure

48

Gamedev Tavern

Gamedev Tavern

Gamedev Tavern is MCP for the game industry: studios, people, games and open quests. Have a goal — your AI agent writes a quest in your words and Tavern agents look for people and studios that fit. No goal — your agent i

Krafters

Krafters (Romain Duclos)

Krafters is a French club of specialized AIs for freelancers and small businesses. Its connector opens the member's AI kits for Facebook and Instagram ads, SEO/GEO and short videos directly in Claude, and gives the next

Nero AI Image Processing

nero-com

We provide AI-powered tools for image enhancement, upscaling, background removal, photo restoration, colorization, denoising, and compression. All features are available through our API documentation.

广告合作